Health Insurance for “Humans”: Information Frictions, Plan Choice, and Consumer Welfare
Open accessAbstract
Traditional models of insurance choice are predicated on fully informed and rational consumers protecting themselves from exposure to financial risk. In practice, choosing an insurance plan is a complicated decision often made without full information. In this paper we combine new administrative data on health plan choices and claims with unique survey data on consumer information to identify risk preferences, information frictions, and hassle costs. Our additional friction measures are important predictors of choices and meaningfully impact risk preference estimates. We study the implications of counterfactual insurance allocations to illustrate the importance of distinguishing between these micro-foundations for welfare analysis. (JEL D81, D8 3, G22, I13)
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Written from the paper’s full text.
TL;DR
The paper combines administrative plan-choice and claims records with a linked employee survey to show that information frictions and perceived hassle costs explain a substantial part of health-plan choices that standard models would otherwise attribute to risk aversion. Accounting for these frictions lowers estimated risk aversion and roughly halves the welfare loss from forcing consumers into a high-deductible plan.
Key findings
- In a baseline model using only administrative data, the average consumer appears highly risk averse: the implied gamble interpretation is a $366.74 loss tolerated for a 50/50 gamble of winning $1,000. Adding inertia raises this to $812.61, and adding survey-based frictions raises it further to $920.47 in the full model and $930.64 in the types model.
- Consumers who incorrectly believe the PPO gives broader provider access are willing to pay about $2,267 more for the PPO than correctly informed consumers, even though the plans have identical networks. Across all measured frictions, the average consumer is willing to pay about $1,694 more for the PPO than a fully informed consumer with no perceived hassle costs.
- In a counterfactual forcing everyone into the HDHP, the full model implies a mean welfare loss of $788.94, compared with $874.46 under the inertial baseline and $1,237.61 under the baseline without inertia; relative to risk neutrality, the full model implies a $62 loss versus $148 with inertia and $511 without.
- The minimum price elasticity of medical spending needed to justify the forced HDHP switch is 0.178 in the full model, versus 0.280 in the baseline without inertia; upper-bound estimates are 0.258 and 0.407, respectively.
Methods
- The setting is a large self-insured U.S. employer with roughly 55,000 employees and 160,000 covered lives, observed from 2009 to 2012, choosing between a PPO and a high-deductible health plan with a linked HSA.
- A survey was sent to 4,500 randomly selected employees, with 1,661 respondents and a 38 percent response rate; responses were linked at the individual level to administrative claims, plan choices, demographics, and employment records.
- The authors estimate structural choice models: a baseline with health risk and risk preferences, a baseline with inertia, a full model with 13 survey-derived friction and hassle-cost measures, and a types model aggregating information into a one-dimensional index. A separate cost model predicts ex ante out-of-pocket expenditure distributions, and models are estimated by simulated maximum likelihood.
Limitations
- The paper states that survey-based identification relies on elicitations rather than exogenous administrative variation, and that answers may signal rather than directly measure frictions. It also notes possible selection into survey response, post-choice survey timing with forgetting or learning, and confirmation bias.
- The authors state that results are specific to the large-employer context and two-plan menu studied, so the direction and magnitude of the risk-aversion bias may not generalize.
- The text makes evident additional constraints: the analysis assumes friction measures are orthogonal to risk preferences and inertia, and the cost model assumes no private information and no moral hazard, though the authors argue these are unlikely to materially affect the main results.
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Claims the paper makes
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- Findingown data§ Introduction
Consumers who are relatively less informed about the HDHP option are less likely to choose that plan.
“Second, we investigate the correlations between answers to information-related survey questions and plan choices, conditional on realized costs, to illustrate that consumers who are relatively less informed about the HDHP option are less likely to choose that plan.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
Relative to the baseline case of risk neutrality, the full model estimates with lower risk aversion imply an average welfare loss of $62 per person from increased risk exposure in moving the entire population to the HDHP.
“Relative to the baseline case of risk neutrality, we find that the full model estimates, with lower risk aversion, imply an average welfare loss of $62 per person from increased risk exposure in moving the entire population to the HDHP.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
Consumers who incorrectly believe that the PPO grants greater medical access are much more likely to choose the PPO relative to individuals who know that the plans grant exactly the same access.
“We show that these consumers are much more likely to choose the PPO relative to individuals who know that the plans grant exactly the same access.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
The primary model incorporating friction measures leads to lower estimates of risk aversion relative to both baseline models.
“Our primary model-incorporating friction measuresleads to lower estimates of risk aversion relative to both baseline models: in the full model with all frictions the consumer would be indifferent if the gamble included a 50 percent loss of $913, while in the types model this value is $924.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
The baseline model, based on administrative data alone, predicts substantial risk aversion, with a mean constant absolute risk aversion (CARA) coefficient of 1.60 • 10 -foot_2.
“The baseline model, based on the administrative data alone, predicts substantial risk aversion, with a mean constant absolute risk aversion (CARA) coefficient of 1.60 • 10 -foot_2 .”
Quote in the paperSubstantial claim
- Findingown data§ Abstract
The paper's additional friction measures meaningfully impact risk preference estimates.
“Our additional friction measures are important predictors of choices and meaningfully impact risk preference estimates.”
Quote in the paperSubstantial claim - Findingown data§ Abstract
The paper's additional friction measures are important predictors of plan choices.
“Our additional friction measures are important predictors of choices and meaningfully impact risk preference estimates.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
Incorporating inertia into the model leads to lower estimates of risk aversion than the baseline model.
“Incorporating inertia into the model, consumers are estimated to be less risk averse; they would be indifferent between no gamble and the same gamble that loses $812 with a 50 percent chance rather than $367.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
Aggregating across all frictions measures included, the average consumer is willing to pay $1,694 more for the PPO relative to a fully informed consumer with zero perceived hassle costs.
“Aggregating across all frictions measures we include, the average consumer is willing to pay $1,694 more for the PPO relative to a fully informed consumer with zero perceived hassle costs.”
Quote in the paperSubstantial claim - Findingown data§ Introduction
A consumer who incorrectly believes that the PPO option grants greater medical access than the HDHP is willing to pay $2,267 more on average for the PPO relative to a correctly informed consumer.
“For example, a consumer who incorrectly believes that the PPO option grants greater medical access than the HDHP is willing to pay $2,267 more on average for the PPO relative to a correctly informed consumer.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
Only 4 percent of PPO enrollees believe that the PPO plan leads to > 20 hours in time/hassle costs.
“only 4 percent of PPO enrollees believe that the PPO plan leads to”
Quote in the paperNot a substantial claim - Findingreasoning§ A. Health Insurance Choices
The maximum financial loss from choosing the HDHP is $2,500.
“the maximum financial loss from choosing the HDHP is $2,500.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
New HDHP enrollees have quite similar beliefs about time and hassle costs as incumbent enrollees who had already experienced the plan.
“new HDHP enrollees have quite similar beliefs about time and hassle costs as incumbent enrollees who had already experienced the plan”
Quote in the paperSubstantial claim - Findingown data§ A. Health Insurance Choices
The actual choice percentages are much lower than the ex post optimal percentages just described.
“The actual choice percentages are much lower than the ex post optimal percentages just described.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
There is a strong relationship between expected time/hassle costs and plan choices: as projected costs increase, consumers are much less likely to choose the HDHP.
“There is a strong relationship between expected time/hassle costs and plan choices: as projected costs increase, consumers are much less likely to choose the HDHP.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
There is a strong relationship between plan choice and how accepting consumers are of the time required to deal with the plan hassle costs.
“The third panel in Table 3 demonstrates a strong relationship between plan choice and how accepting consumers are of the time required to deal with the plan hassle costs.”
Quote in the paperNot a substantial claim - Findingnone given§ C. Frictions: Descriptive Evidence
The provider networks are in fact identical on all dimensions for the two plans.
“Recall that the networks are in fact, identical on all dimensions for the two plans.”
Quote in the paperSubstantial claim - Findingown data§ A. Health Insurance Choices
Figure 1 demonstrates a unique level of total expenditure above which the PPO plan is valuable ex post relative to the HDHP.
“The figure demonstrates that there is a unique level of total expenditure above which the PPO plan is valuable ex post relative to the HDHP.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
Those who understood that medical access was the same were far more likely to select the HDHP: 23 percent chose that plan, compared to 6 percent among those reporting the PPO had a larger network and 17 percent among those answering not sure.
“It is clear that those who understood that medical access was the same were far more likely to select the HDHP: 23 percent chose that plan, compared to 6 percent among those reporting the PPO had a larger network and 17 percent among those answering”
Quote in the paperSubstantial claim - Findingnone given§ C. Frictions: Descriptive Evidence
Answers to some survey questions have a strong gradient with respect to actual plan choices made, even after conditioning on measures of health risk.
“answers to some survey questions have a strong gradient with respect to actual plan choices made, even after conditioning on measures of health risk.”
Quote in the paperSubstantial claim - Findingown data§ A. Health Insurance Choices
Given the actual choices, a model where risk-aversion and health risk are the primary choice drivers yields very high estimates of risk aversion.
“Given the actual choices, a model where risk-aversion and health risk are the primary choice drivers yields very high estimates of risk aversion (see results in Section IV).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Families' beliefs about their out-of-pocket expenditures conform to F_kj.
- The authors state this as an assumption: Families know the distributions of their future health expenditure risk F_kj and that this risk conforms to the output of the cost model.
- The authors state this as an assumption: Consumers are fully informed about their own health risk.
- The authors state this as an assumption: Consumers fully understand the mapping between total health expenses and out-of-pocket expenses in each plan.
- The authors state this as an assumption: Plans are identical (up to mean zero idiosyncratic ε) on nonfinancial characteristics such as provider network and time/hassle costs.
- The authors state this as an assumption: Families have constant absolute risk aversion (CARA) preferences.
- The authors state this as an assumption: The idiosyncratic preference shock ε_kj is mean zero in estimation.
- The authors state this as an assumption: Families choose the plan j that maximizes U_kj.
- The authors state this as an assumption: U_kj has the von Neumann-Morgenstern expected utility formulation.
- Findingnone given§ A. Health Insurance Choices
Over the entire period 2009-2012, employees at the firm choose between two primary health insurance options, a PPO option with generous first dollar coverage and a HDHP with a linked HSA.
“Over the entire period 2009-2012, employees at the firm choose between two primary health insurance options, a PPO option with generous first dollar coverage and a HDHP with a linked HSA.”
Quote in the paperSubstantial claim - Findingreasoning§ A. Health Insurance Choices
For a family, the range of potential ex post relative value for the HDHP spans [-$2,500, +$3,750].
“Thus, for a family, the range of potential ex post relative value for the HDHP spans [-$2,500, +$3,750] .”
Quote in the paperSubstantial claim - Findingown data§ A. Health Insurance Choices
In 2012, 17.3 percent of employees in the full sample chose the HDHP.
“while in 2012 17.3 percent did.”
Quote in the paperNot a substantial claim - Findingown data§ A. Health Insurance Choices
In 2011, 11.2 percent of employees in the full sample chose the HDHP.
“in 2011 11.2 percent of employees in the full sample chose the HDHP”
Quote in the paperNot a substantial claim - Findingown data§ C. Frictions: Descriptive Evidence
Fifteen percent of PPO enrollees believe that the PPO provides greater access to physicians, compared to 3 percent and 4 percent in the HDHP populations.
“Fifteen percent of PPO enrollees (who comprise most of the overall population) believe that the PPO provides greater access to physicians, compared to 3 percent and 4 percent in the HDHP populations.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
A slim majority of employees enrolled in the HDHP were able to correctly identify their deductible in that plan.
“A (slim) majority of employees who were enrolled in the HDHP were able to correctly identify their deductible in that plan.”
Quote in the paperNot a substantial claim - Findingreasoning§ A. Health Insurance Choices
If consumers make 50 percent of the maximum possible incremental HSA contributions, then 60 percent of employees would have been ex post better off in the HDHP.
“If we assume consumers make 50 percent of the maximum possible incremental HSA contributions (close to what is observed in the data) then 60 percent of employees would have been ex post better off in the HDHP.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
There is a substantial difference in perception of the time required to deal with the HDHP among those enrolled in the HDHP compared to PPO enrollees.
“The results point to a substantial difference in perception of the time required to deal with the HDHP among those enrolled in the HDHP compared to PPO enrollees.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
A similar proportion of consumers should choose the HDHP across the survey question answer groups (between 30-40 percent with no incremental HSA contributions).
“The figure indicates that a similar proportion of consumers should choose the HDHP across the survey question answer groups (between 30-40 percent with no incremental HSA contributions).”
Quote in the paperSubstantial claim - Findingnone given§ A. Health Insurance Choices
About half of the employees in the sample earn over $125,000.
“about half of the employees in our sample earn over $125,000”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
The relationship between plan choices and projected time/hassle costs is due in part, but not fully, to correlation between expected time and hassle costs and medical utilization.
“The right panel of Figure 3 reveals that the relationship between plan choices and projected time/hassle costs is due in part, but not fully, to correlation between expected time and hassle costs and medical utilization.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
Only slightly more than 20 percent of employees enrolled in the PPO could identify the deductible for the HDHP choice option.
“Only slightly more than 20 percent of employees who enrolled in the PPO could identify the deductible for the HDHP choice option.”
Quote in the paperSubstantial claim - Findingown data§ C. Frictions: Descriptive Evidence
Existing HDHP enrollees have very similar answer proportions to new HDHP enrollees.
“existing HDHP enrollees (enrolled in that plan for at least one year prior to 2012) have very similar answer proportions to new HDHP enrollees, who signed up for that plan just before the survey”
Quote in the paperSubstantial claim - Findingreasoning§ IV. Results
For the median individual in the sample, who expects to incur between six and ten hours of time and hassle costs, taking the midpoint of eight hours, this implies a $1,109.60 drop in utility for the HDHP plan if they state they have a strong dislike for hassle costs.
“For the median individual in the sample, who expects to incur between six and ten hours of time and hassle costs, this implies (taking the midpoint of eight hours) a $138.70 × 8 = $1,109.60drop in utility for the HDHP plan if they state they have a strong dislike for hassle costs.”
Quote in the paperNot a substantial claim - Findingown data§ IV. Results
In the full model, consumers who overestimate their total medical expenditures prefer the HDHP by $62.98 relative to the fully informed.
“while those who overestimate their expenditures prefer the HDHP by $62.98 relative to the fully informed (counter-intuitively).”
Quote in the paperNot a substantial claim - Findingown data§ IV. Results
The full model with information frictions and hassle costs yields an average gamble interpretation of X = 920.47.
“Gamble interp. of average μ γ 366.74 † 812.61 920.47 † 952.89 †”
Quote in the paperNot a substantial claim - Findingown data§ C. Frictions: Descriptive Evidence
The correlation between answers to questions on plan financial characteristics is fairly high.
“The correlation between these answers are fairly high.”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
The effects of answering incorrectly or 'not sure' to the three main questions on HDHP financial characteristics have fairly wide 95 percent CIs that include zero.
“These effects also have fairly wide 95 percent CIs that include zero.”
Quote in the paperNot a substantial claim - Findingown data§ C. Frictions: Descriptive Evidence
The majority of respondents in each cohort reply that they are somewhat or very confident in their estimate of their past year total medical expenditures.
“the majority of respondents in each cohort reply that they are somewhat or very confident in their estimate.”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the baseline model with inertia, the average consumer's gamble interpretation is X = 812.61, with 95 percent CI [733.63, 864.68].
“The estimates illustrate the substantial impact of incorporating inertia on risk preference estimates: the “gamble interpretation” for the average consumer is X = 812.61(with 95 percent CI [733.63,864.68] )”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the types model, the coefficients on time and hassle costs (separated from information frictions) are similar in both the full model and the types model.
“The coefficients on time and hassle costs (which are separated from information frictions in the types model) are also similar in both the full model and the types model.”
Quote in the paperNot a substantial claim - Findingown data§ IV. Results
In the full model, consumers who answer any of the three main questions on HDHP financial characteristics incorrectly prefer the HDHP by $98.04 relative to those who get all of these questions correct.
“Those who answer any of the three main questions on HDHP financial characteristics incorrectly actually prefer the HDHP by $98.04 relative to those who get all of these questions correct”
Quote in the paperNot a substantial claim - Findingown data§ C. Frictions: Descriptive Evidence
The degree of correlation is lower between responses to other questions.
“the degree of correlation is lower between responses to other questions, as shown in Table E3.”
Quote in the paperSubstantial claim - Findingown data§ D. Survey Data: Limitations
Table E3 reveals limited pairwise correlations between an aggregated measure of plan financial characteristic knowledge, knowledge about provider networks, expected time and hassle costs, and knowledge of own past medical expenditures.
“Table E3 in online Appendix E reveals limited pairwise correlations between an aggregated measure of plan financial characteristic knowledge, knowledge about provider networks, expected time and hassle costs, and knowledge of own past medical expenditures.”
Quote in the paperNot a substantial claim - Findingown data§ HS A k S
The full model reveals that many lack knowledge of provider network identity when choosing a plan.
“the full model reveals that many lack this knowledge when choosing a plan.”
Quote in the paperSubstantial claim - Findingnone given§ IV. Results
Except for the model that incorporates total medical expenditure frictions, all incremental models have gamble interpretations for the average consumer that lie outside the 95 percent confidence interval for that estimated in the baseline model with inertia.
“Except for the model that incorporates total medical expenditure frictions, all incremental models have gamble interpretations for the average consumer that lie outside the 95 percent confidence interval for that estimated in the baseline model with inertia.”
Quote in the paperNot a substantial claim - Findingown data§ C. Full Model
Information frictions are strong proxies for inertia.
“we show both that information frictions are strong proxies for inertia and that the explicit model of inertia does not have a major impact on the implications for risk preferences estimates in the presence of information frictions.”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the full model, aggregating over all friction measures and estimated coefficients, the average impact of these frictions on HDHP willingness to pay is -$1,787 with a standard deviation of 1,303.64.
“Aggregating over all friction measures and estimated coefficients, in the full model the average impact of these frictions on HDHP willingness to pay is -$1,787 with a standard deviation of 1,303.64 .”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the baseline model, the standard deviation of ε is 149.23.
“The standard deviation of ϵ is rather small at 149.23 , suggesting that unobserved heterogeneity is captured primarily in the risk preference estimates.”
Quote in the paperNot a substantial claim - Findingown data§ IV. Results
The structural full model yields an average gamble interpretation of X = 952.89.
“Gamble interp. of average μ γ 366.74 † 812.61 920.47 † 952.89 †”
Quote in the paperNot a substantial claim - Findingown data§ IV. Results
For each additional stated hour of time spent on plan billing, administration, and logistics, a consumer with a strong dislike for hassle costs values the HDHP by $138.70 less.
“For each additional stated hour of time spent on plan billing, administration, and logistics, a consumer with a strong dislike for hassle costs values the HDHP by $138.70 less.”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the full model, the estimate of σγ (and the total standard deviation in γ, reflecting observed and unobserved heterogeneity) is substantially reduced relative to the baseline inertial model.
“Moreover, the estimate of σ γ (and the total standard deviation in γ , reflecting observed and unobserved heterogeneity) is substantially reduced relative to the baseline inertial model”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the structural model, the unconditional variance of γ is smaller relative to the full model estimates (about 60 percent as big).
“The unconditional variance of γ is also smaller in this structural specification relative to the full model estimates (about 60 percent as big).”
Quote in the paperNot a substantial claim - Findingown data§ C. Full Model
The explicit model of inertia does not have a major impact on the implications for risk preference estimates in the presence of information frictions.
“we show both that information frictions are strong proxies for inertia and that the explicit model of inertia does not have a major impact on the implications for risk preferences estimates in the presence of information frictions.”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
The average amount of money foregone in plan choice due to inertia is $2,396 with a population standard deviation of $503 based on observable heterogeneity.
“The estimates reveal that the average amount of money foregone in plan choice due to inertia is $2,396 with a population standard deviation of $503 based on observable heterogeneity.”
Quote in the paperSubstantial claim - Findingown data§ IV. Results
In the full model, consumers who underestimate their own total medical expenditures for the past year value the HDHP by $208.30 less than those with correct information.
“Those who underestimate their own total medical expenditures for the past year value the HDHP by $208.30less than those with correct information”
Quote in the paperNot a substantial claim - Findingown data§ IV. Results
Placebo analyses verify that risk preference estimates are generally unchanged when including measures that we think should not be predictive of plan choice or utility.
“These analyses verify that risk preference estimates are generally unchanged when including measures that we think should not be predictive of plan choice or utility.”
Quote in the paperNot a substantial claim - Findingnone given§ Results
If consumers are all risk neutral the mean loss is $726.
“Finally, if consumers are all risk neutral the mean loss is $726 .”
Quote in the paperNot a substantial claim - Findingown data§ VI. Conclusion
Under the assumption that employees make no incremental HSA contributions, 35 percent would have been better off.
“Under the assumption that employees make no incremental HSA contributions, 35 percent would have been better off.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Employees make no incremental HSA contributions.
- Findingreasoning§ VI. Conclusion
When the additional friction measures are omitted from the model, the consumer welfare loss from risk exposure is approximately double that when these measures are included.
“we find that, when we omit our additional friction measures from the model, the consumer welfare loss from risk exposure is approximately double that when these measures are included.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Consumers treat the subsidy as a relative premium, or relative difference in money between the plans, regardless of whether it represents a gain or loss from their baseline.
- Findingown data§ Results
The baseline model with inertia predicts a mean loss of $874 with standard deviation $975.
“The baseline model with inertia predicts a mean loss of $874 with standard deviation $975 .”
Quote in the paperSubstantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
- Findingown data§ IV. Results
In the model without first-stage inertia estimates, the average impact of all survey effects is -$3,356 (SD $1,707), approximately $1,600 less than that from the model with first-stage inertia estimates.
“The average impact of all survey effects in this model is -$3,356 (SD $1,707 ), approximately $1,600 less than that from the model with first-stage inertia estimates.”
Quote in the paperSubstantial claim - Findingreasoning§ VI. Conclusion
In the authors' setting, if one has just administrative data, incorporating inertia into the model matters a lot for risk preference estimates.
“This suggests that, in our setting, if one has just administrative data, incorporating inertia into the model matters a lot for risk preference estimates.”
Quote in the paperSubstantial claim - Findingown data§ VI. Conclusion
In the authors' setting, omitting the typically unobserved friction measures leads to higher estimates of consumer risk aversion.
“In our setting, omitting the typically unobserved friction measures leads to higher estimates of consumer risk aversion, which in turn directly impacts welfare analysis.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Consumers treat the subsidy as a relative premium, or relative difference in money between the plans, regardless of whether it represents a gain or loss from their baseline.
- Findingown data§ VI. Conclusion
In a series of focus groups conducted at the firm, many employees thought that the maximum financial loss in the HDHP would be larger than the true magnitude.
“In a series of focus groups we conducted at the firm, the true magnitude of the maximum loss was particularly surprising to employees: many thought that the maximum financial loss in the HDHP would be larger.”
Quote in the paperNot a substantial claim - Findingnone given§ VI. Conclusion
If consumers value the care forgone at the high-deductible plan co-insurance rate, the elasticities are 0.407 and 0.258 respectively.
“If consumers value the care forgone at the high-deductible plan co-insurance rate, these elasticities are 0.407 and 0.258 respectively.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Zero marginal value of medical care forgone.
- Findingown data§ Results
The full model with inertia predicts a mean consumer surplus loss of $788 with standard deviation $1,021.
“The full model with inertia predicts a mean consumer surplus loss of $788 with standard deviation $1,021 ,”
Quote in the paperSubstantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
- Findingreasoning§ Figure 6
The minimum elasticity necessary to justify the menu redesign is 0.280 for the baseline model, when foregone spending is purely wasteful.
“The minimum elasticity necessary to justify the menu redesign is 0.280 for the baseline model, when foregone spending is purely wasteful.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Reduced medical expenditures come from reductions in purely wasteful services (for the lower bound calculation).
- The authors state this as an assumption: Rational consumers value foregone services at a rate between zero and the marginal HDHP price (for the upper bound calculation).
- The authors state this as an assumption: The normal distribution for γ heterogeneity is truncated at 0.
- Findingnone given§ VI. Conclusion
If all employees contribute the maximum amount to their HSA, 73 percent would have been better off in that plan ex post.
“If we assume that all employees contribute the maximum amount to their HSA, 73 percent would have been better off in that plan ex post.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All employees contribute the maximum amount to their HSA.
- Interpretationreasoning§ Introduction
If information frictions and hassle costs are omitted from the choice model, risk preferences will be overestimated in this setting due to the structure of insurance plans and the frictions present.
“if we omit these factors from our choice model, we will overestimate risk preferences in our setting due to the structure of insurance plans and the frictions present.”
Quote in the paperSubstantial claim - Interpretationreasoning§ A. Health Insurance Choices
Consumers are choosing the PPO plan more than they should from either an ex post perspective or from a risk-neutral ex ante perspective.
“This simple comparison suggests that consumers are choosing the PPO plan more than they”
Quote in the paperSubstantial claim - Interpretationown data§ C. Frictions: Descriptive Evidence
Experiential learning may not be substantial.
“suggesting that experiential learning may not be substantial.”
Quote in the paperSubstantial claim - Interpretationreasoning§ A. Health Insurance Choices
High risk aversion with respect to purely financial risk seems to be an unsatisfactory explanation for the low proportion of employees choosing the HDHP.
“high risk aversion with respect to purely financial risk seems to be an unsatisfactory explanation for the low proportion of employees choosing the HDHP.”
Quote in the paperSubstantial claim - Interpretationreasoning§ C. Information Frictions in Plan Choice
If individuals are imperfectly informed about the nonfinancial attributes of the plan, this will lead to choices that differ from what would have occurred with full information on the plan's network of physicians, true time and hassle costs, or a correct understanding of the tax benefits of plan features such as an HSA.
“Similarly, if individuals are imperfectly informed about the nonfinancial attributes of the plan this will lead to choices that differ from what would have occurred with full information on the plan's network of physicians, true time and hassle costs, or a correct understanding of the tax benefits of plan features such as an HSA.”
Quote in the paperNot a substantial claim - Premisereasoning§ C. Information Frictions in Plan Choice
Information frictions can impact the choice behavior of consumers in potentially important ways.
“From (3) we see how information frictions can impact the choice behavior of consumers in potentially important ways.”
Quote in the paperSubstantial claim - Interpretationown data§ C. Frictions: Descriptive Evidence
The level of incorrect and uncertain beliefs about provider access underscores the role of information frictions.
“This level of incorrect and uncertain beliefs about a plan attribute that was both relatively straightforward to consider and emphasized in the information provided by the employer underscores the role of information frictions.”
Quote in the paperSubstantial claim - Interpretationreasoning§ C. Information Frictions in Plan Choice
Since both beliefs about plan design and consumer type enter the choice problem and impact perceptions of out-of-pocket expenditure risk, even if we observe choices of individuals who optimize given their beliefs, we cannot necessarily recover key features of the model, such as risk preferences, with typical administrative data.
“Since both ˆ ψ j and ˆ μ k enter the choice problem and impact the perceptions of (and subsequent responses to) out-of-pocket expenditure risk, even if we observe the choices of individuals who optimize given their beliefs, we cannot necessarily recover key features of the model, such as risk preferences, with typical administrative data.”
Quote in the paperSubstantial claim - Premiseown data§ II. Data and Descriptive Analysis
The study population is employees (and dependents) of a large self-insured employer with approximately 55,000 US employees (in 2012) covering approximately 160,000 lives.
“We study health plan choice and utilization for the employees (and dependents) of a large self-insured employer with approximately 55,000 US employees (in 2012) covering approximately 160,000 lives.”
Quote in the paperSubstantial claim - Interpretationreasoning§ C. Frictions: Descriptive Evidence
The gap between the proportion of people who should choose the HDHP and those who actually do is much larger for those consumers who believe the PPO provides access to more physicians.
“This implies that the gap between the proportion of people who should choose the HDHP and those who actually do is much larger for those consumers who believe the PPO provides access to more physicians.”
Quote in the paperSubstantial claim - Interpretationown data§ C. Frictions: Descriptive Evidence
The difference between HDHP and PPO enrollees is not due only to experience with the HDHP plan.
“suggesting that the difference between HDHP and PPO enrollees is not due only to experience with the HDHP plan.”
Quote in the paperSubstantial claim - Interpretationreasoning§ C. Information Frictions in Plan Choice
If a consumer believes that the providers available in-network in two plans differ, when they are in fact the same, this will impact choices but should not impact actual ex post consumer utility and welfare for one option relative to another.
“For example, if a consumer believes that the providers available in-network in two plans differ, when they are in fact the same, this will impact choices but should not impact actual ex post consumer utility and welfare for one option relative to another.”
Quote in the paperSubstantial claim - Study design and conductreasoning§ F. Identification
For the baseline model and full model with inertia, inertia is separately identified from risk preferences by comparing new employees, who must make active plan choices, and existing employees, who have a default option.
“For the baseline model (and full model) with inertia, we separately identify inertia from risk preferences by comparing new employees, who must always make “active” plan choices when they arrive, and existing employees who have a default option of their previously chosen plan if they take no action.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The distribution of risk preferences in the population is identical for new and existing employees, conditional on observable heterogeneity.
- The authors state this as an assumption: The new and existing employee groups are identical on dimensions other than inertia and additional frictions.
- Premisecitation§ B. Baseline Model With Inertia
One important feature of the choice not captured in the baseline model is inertia.
“One important feature of the choice not captured in the baseline model is inertia.”
Quote in the paperSubstantial claim - Interpretationreasoning§ IV. Results
The lower degree of estimated mean risk aversion μγ in the full model, together with the lower estimated unconditional variance of γ, imply a higher welfare impact of the forced switch of all consumers to the HDHP studied in the next section, relative to the case where the baseline model estimates are used.
“Specifically, this lower degree of estimated mean risk aversion μ γ in the full model, together with the lower estimated unconditional variance of γ (presented in Table 4) imply a higher welfare impact of the forced switch of all consumers to the HDHP studied in the next section, relative to the case where the baseline model estimates are used.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
- Interpretationown data§ IV. Results
In the baseline model, unobserved heterogeneity is captured primarily in the risk preference estimates.
“The standard deviation of ϵ is rather small at 149.23 , suggesting that unobserved heterogeneity is captured primarily in the risk preference estimates.”
Quote in the paperNot a substantial claim - Interpretationown data§ IV. Results
Having the linked survey data to proxy for information frictions and hassle costs has an economically meaningful and statistically significant impact on estimated risk preferences, at least in our setting.
“These results demonstrate that, at least in our setting, having the linked survey data to proxy for information frictions and hassle costs has a economically meaningful and statistically significant impact on estimated risk preferences.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Cost Model
Because the cost model combines detailed individual-level medical utilization data with sophisticated medical diagnostic software, there is less room for private information than in prior work.
“Because our cost model combines detailed individual-level medical utilization data with sophisticated medical diagnostic software there is less room for private information than in prior work: additional selection based on private information is more unlikely than it would be with only coarse demographics or aggregate health information to measure health risk.”
Quote in the paperSubstantial claim - Study design and conductown data§ G. Estimation
The results on how risk preference estimates and subsequent welfare implications change with information frictions are robust to how inertia is incorporated.
“It is important to note that the results on how risk preferences estimates (and subsequent welfare implications) change with information frictions are robust to how inertia is incorporated: we show this by comparing the full model results with and without inertia, described in Section IV.”
Quote in the paperNot a substantial claim - Study design and conductown data§ D. Survey Data: Limitations
Those who answer the survey are similar on demographic and health dimensions to those who do not.
“Table 1 illustrates that those who answer the survey are similar on demographic and health dimensions to those who do not.”
Quote in the paperNot a substantial claim - Interpretationown data§ IV. Results
Incorporating inertia with observable heterogeneity explains much of the heterogeneity in risk aversion estimated in the baseline model.
“Thus, incorporating inertia (with observable heterogeneity) also explains much of the heterogeneity in risk aversion estimated in the baseline model, foreshadowing the effect of including additional friction measures on risk preference heterogeneity.”
Quote in the paperSubstantial claim - Study design and conductreasoning§ F. Identification
The distribution of risk preferences is identified separately from the distribution of ε because risk preferences imply a specific relationship between the mean and variance of F and choices, while ε is orthogonal to F.
“The distribution of risk preferences is identified separately from the distribution of ϵ because risk preferences imply a specific relationship between the mean and variance of F and choices, while ϵ is orthogonal to F .”
Quote in the paperSubstantial claim - Study design and conductreasoning§ F. Identification
Subject to Fkj, a family's choice in each year identifies a range of feasible risk preferences.
“Subject to F kj , a family's choice in each year identifies a range of feasible risk preferences.”
Quote in the paperSubstantial claim - Interpretationown data§ D. Survey Data: Limitations
Strong positive correlations for answers to plan financial characteristic questions suggest that information on these more complex dimensions is more of an all or nothing proposition.
“there are strong positive correlations for answers to plan financial characteristic questions (shown in Table E2), suggesting that information on these more complex dimensions is more of an”
Quote in the paperSubstantial claim - Interpretationown data§ HS A k S
For time/hassle costs, there are differences between the two plans given their respective designs, as the full model estimates bear out.
“For time/hassle costs, we expect there to be differences between the two plans given their respective designs, something that the full model estimates bear out.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ IV. Results
The heterogeneity estimated in the baseline model proxies for the unobservable frictions.
“suggesting that the heterogeneity estimated in the baseline model proxies for these unobservable frictions.”
Quote in the paperSubstantial claim - Interpretationown data§ IV. Results
Once inertia is accounted for, the implied level of consumer risk aversion is much lower than in the baseline model.
“suggesting that, once inertia is accounted for, the implied level of consumer risk aversion is much lower than that from the baseline model.”
Quote in the paperSubstantial claim - Interpretationreasoning§ IV. Results
On average, frictions shift people toward choosing the simpler PPO option.
“Thus, on average, frictions shift people toward choosing the simpler PPO option.”
Quote in the paperSubstantial claim - Study design and conductown data§ VI. Conclusion
The analysis was made possible by directly linking survey and administrative data at the individual level.
“The analysis we perform was made possible by directly linking survey and administrative data at the individual level”
Quote in the paperSubstantial claim - Study design and conductnone given§ VI. Conclusion
The conclusions on the impact of including additional frictions for risk preference estimates are robust to the model of inertia used.
“Our conclusions on the impact of including additional frictions for risk preference estimates are robust to the model of inertia used.”
Quote in the paperSubstantial claim - Interpretationcitation§ V. Policy Analysis: Welfare Impact of Forced HDHP Switch
Information frictions generate a wedge between the demand curve and the welfare-relevant valuation curve which our full model is able to measure.
“Information frictions thus generate a wedge between the demand curve and the welfare-relevant valuation curve which our full model is able to measure”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Spinnewijn 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Bernheim and Rangel 2009 source
- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
- Interpretationreasoning§ VI. Conclusion
The authors' estimates can be directly applied to investigate consumer welfare losses from risk exposure for a given allocation of consumers to plans.
“our estimates can be directly applied to investigate consumer welfare losses from risk exposure for a given allocation of consumers to plans.”
Quote in the paperSubstantial claim - Interpretationown data§ VI. Conclusion
Including friction measures in an expected utility framework typical of the structural insurance literature has potentially important implications for risk preference estimates.
“including these friction measures in an expected utility framework typical of the structural insurance literature has potentially important implications for risk preference estimates.”
Quote in the paperSubstantial claim - Interpretationown data§ VI. Conclusion
Accounting for typically unobserved choice frictions can have potentially important implications for both choice and welfare analyses in insurance markets.
“the analysis illustrates that accounting for these typically unobserved choice frictions can have potentially important implications for both choice and welfare analyses in insurance markets.”
Quote in the paperSubstantial claim - Interpretationown data§ IV. Results
These two frictions (plan financial knowledge and total medical expenditure knowledge) are the most tightly linked to inertia.
“This suggests that these two frictions are the most tightly linked to inertia.”
Quote in the paperSubstantial claim - Study design and conductreasoning§ VI. Conclusion
Additional assumptions would be required to study choice and welfare when consumers can choose between counterfactual plan menus.
“However, we would require additional assumptions to study choice and welfare when consumers can choose between counterfactual plan menus.”
Quote in the paperSubstantial claim - Interpretationown data§ IV. Results
Our friction measures are good proxies for inertia in our environment.
“This suggests the our friction measures are good proxies for inertia in our environment.”
Quote in the paperSubstantial claim - Study design and conductown data§ VI. Conclusion
The baseline model includes estimates of inertia identified in the administrative data by comparing the choices made by new employees to those made by existing employees.
“the baseline model we emphasize also includes estimates of inertia identified in the administrative data by comparing the choices made by new employees to those made by existing employees.”
Quote in the paperSubstantial claim - Interpretationown data§ V. Policy Analysis: Welfare Impact of Forced HDHP Switch
Across the models, the primary drivers of welfare, conditional on enrollment, are risk preferences and ex ante distributions of health risk.
“Across these models, the primary drivers of welfare, conditional on enrollment, are risk preferences and ex ante distributions of health risk.”
Quote in the paperSubstantial claim - Premisenone given§ V. Policy Analysis: Welfare Impact of Forced HDHP Switch
The firm we study actually implemented the policy of removing the PPO option from consumers' choice sets in 2013.
“as the firm we study actually implemented this policy and removed the PPO option from consumers' choice sets in 2013.”
Quote in the paperSubstantial claim - Premisecitation§ VI. Conclusion
Cardon and Hendel (2001) find no evidence of selection based on private information.
“Cardon and Hendel (2001) find no evidence of selection based on private information”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cardon and Hendel (2001) source
- Study design and conductown data§ VI. Conclusion
Given the small magnitude of this coefficient, this assumption does not have a major impact on the authors' results.
“Given the small magnitude of this coefficient, this assumption does not have a major impact on our results.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Knowledge about HSA tax benefits is non-welfare relevant.
- Classified as probably not a substantial claim. 81
- May combine two claims. 90
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ II. Data and Descriptive AnalysisThe administrative data are similar to those recently used in the literature studying insurance provision at large self-insured firms.
“These administrative data are similar to those recently used in the literature studying insurance provision at large self-insured firms (see, e.g., Einav et al. 2013; Carlin and Town 2010; or Handel 2013).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Einav et al. 2013 source
The Baseline sample section describes employee-level insurance choices, plan menus, and detailed medical claims from Alcoa, a large firm. This supports the comparison to administrative data used to study insurance provision at large firms, but the passages do not establish that Alcoa was self-insured. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Carlin and Town 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Handel 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ VI. ConclusionIn the recent literature, people usually either model inertia explicitly or study active choice settings.
“In the recent literature mentioned earlier, people usually either model inertia explicitly (e.g., Handel 2013) or study active choice settings (e.g., Einav et al. 2013).”
Quote in the paperNot a substantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ VI. ConclusionBaicker, Mullainathan, and Schwartzstein (2015) studies medical care utilization with a welfare model that implies a gap between the choices consumers make and the choices that maximize their welfare if fully informed.
“In concurrent work, Baicker, Mullainathan, and Schwartzstein (2015) studies medical care utilization with a welfare model that also implies a gap between the choices consumers make and the choices that maximize their welfare if fully informed.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Baicker, Mullainathan, and Schwartzstein (2015) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ VI. ConclusionBeshears et al. (2008) discuss potential ways to distinguish between revealed and normative preferences.
“Beshears et al. (2008) discuss potential ways to distinguish between revealed and normative preferences.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Beshears et al. (2008) source
May combine two claims.
Findingown data§ IntroductionThe most influential frictions measured are a lack of information about available medical providers/treatments and perceived time and hassle costs for the HDHP plan.
“The most influential frictions we measure are a lack of information about available medical providers/treatments and perceived time and hassle costs for the HDHP plan.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IntroductionInformation frictions and hassle cost perceptions matter for consumer choices.
“Overall, our descriptive analyses suggest that information frictions and hassle cost perceptions matter for choices”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ IntroductionThe baseline model with inertia implies a more than double $148 relative loss, and without inertia implies a $511 relative loss.
“The baseline model with (without) inertia implies a more than double $148 ($511) relative loss.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IntroductionWithout the linked survey data, these frictions would primarily be proxied for by risk preference estimates as in the baseline model, but once included, the degree of estimated risk aversion is substantially reduced.
“Without the linked survey data, these frictions would primarily be proxied for by risk preference estimates as in our baseline model, but, once we include them, the degree of estimated risk aversion is substantially reduced.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingreasoning§ IntroductionUnder the baseline model, a price elasticity of demand for health care utilization of at least 0.280 would be necessary to justify the policy shift to the HDHP, while under the full model the elasticity would be 0.178.
“Under the baseline model, with higher risk aversion, a price elasticity of demand for health care utilization of at least 0.280 would be necessary to justify the policy shift to the HDHP, while under the full model the elasticity would be 0.178.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone given§ A. Health Insurance ChoicesThe PPO option had the largest share of employees over time, and had been the primary health insurance plan for many years prior to the introduction of the HDHP option in 2009.
“The PPO option had the largest share of employees over time, and had been the primary health insurance plan for many years prior to the introduction of the HDHP option in 2009.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone given§ A. Health Insurance ChoicesAll HSA funds can be invested in a pretax manner over time, providing similar benefits to those of a 401(k) investment.
“Finally, in addition to the pretax benefits for medical expenditures, all HSA funds can be invested in a pretax manner over time, providing similar benefits to those of a 401(k) investment.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ A. Health Insurance ChoicesThe PPO plan charges no upfront premium while the HDHP provides an upfront subsidy equal to $1,500 for an individual, $3,000 for a couple, and $3,750 for a family.
“The PPO plan charges no upfront premium while the HDHP provides an upfront subsidy equal to $1,500 for an individual, $3,000 for a couple, and $3,750 for a family.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceForty-nine percent of incumbent HDHP enrollees, 41 percent of new HDHP enrollees, and 32 percent of PPO enrollees understand that one can access the same physicians in-network in both plans.
“Forty-nine percent of incumbent HDHP enrollees, 41 percent of new HDHP enrollees, and 32 percent of PPO enrollees understand that one can access the same physicians in-network in both plans.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceThere are clear patterns in the raw survey responses that are consistent with limited information, as well as time and hassle costs.
“There are clear patterns in the raw survey responses that are consistent with limited information, as well as time and hassle costs.”
Quote in the paperSubstantial claimMay combine two claims.
Findingreasoning§ C. Frictions: Descriptive EvidenceThose who expect to have lower hassle costs also have lower expenditures and, thus, ignoring utility from those time/hassle costs, should choose the HDHP in higher proportions.
“The figure indicates that those who expect to have lower hassle costs also have lower expenditures and, thus, ignoring utility from those time/hassle costs, should choose the HDHP in higher proportions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone given§ A. Health Insurance ChoicesIf employees want to use these funds for nonmedical expenditures at any point in their lives, they can do so on a post-tax basis.
“If employees want to use these funds for nonmedical expenditures at any point in their lives, they can do so on a post-tax basis.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone given§ A. Health Insurance ChoicesThe HDHP has a substantial deductible equal to $1,500 for individuals, $3,000 for a couple (or parent and one child), and $3,750 for a family.
“Alternatively, the HDHP has a substantial deductible equal to $1,500 for individuals, $3,000 for a couple (or parent and one child), and $3,750 for a family.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ C. Frictions: Descriptive EvidenceOnly 11 percent of PPO enrollees report not being concerned that they may need to spend time managing health care costs compared to 39 percent of existing HDHP enrollees.
“Only 11 percent of PPO enrollees report not being concerned that they may need to spend time managing health care costs compared to 39 percent of existing HDHP enrollees.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceSimilar shares of both groups believe the reverse or are not sure.
“Similar shares of both groups believe the reverse or are”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ A. Health Insurance ChoicesFor 2013, just past the end of the study period, the firm transitioned away from the PPO option and moved all employees previously enrolled there to the HDHP.
“For 2013, just past the end of our study period, the firm transitioned away from the PPO option and moved all employees previously enrolled there to the HDHP.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceA similar pattern holds for questions about post-deductible co-insurance rate and out-of-pocket maximum in the HDHP, though fewer respondents have information on these characteristics relative to the deductible.
“A similar pattern holds for the questions asking about the post-deductible co-insurance rate and the out-of-pocket maximum in the HDHP, though fewer respondents have information on these characteristics, relative to the deductible.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingreasoning§ A. Health Insurance ChoicesThe HDHP subsidy is deposited into the HSA linked to that plan and can be used for medical expenditures on a pretax basis in both the short run and the long run.
“The HDHP subsidy is deposited into the HSA linked to that plan and, thus, can be used for medical expenditures on a pretax basis in both the short run and the long run.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive Evidence29 percent of PPO enrollees answer that they would expect to spend more than 20 hours on HDHP plan administration and logistics, while only 6 percent and 8 percent do in the two HDHP cohorts.
“29 percent of PPO enrollees answer that they would expect to spend more than 20 hours on HDHP plan administration and logistics, while only 6 percent and 8 percent do in the two HDHP cohorts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingreasoning§ A. Health Insurance ChoicesThe linked HSA can provide additional value to employees, above and beyond the subsidy, as employees can contribute their own funds pretax to the HSA, up to a maximum of $3,150 for individuals and $6,250 for all others (gross of the subsidy).
“The linked HSA can also provide additional value to employees, above and beyond the subsidy, as employees can contribute their own funds pretax to the HSA, up to a maximum of $3,150 for individuals and $6,250 for all others (gross of the subsidy).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ A. Health Insurance ChoicesThe PPO option has no in-network deductible, no in-network co-insurance, and no in-network out-of-pocket maximum.
“On the financial dimension, the PPO option is the simpler and more comprehensive of the two options in terms of cost-sharing: it has no in-network deductible, no in-network co-insurance, and no in-network outof-pocket maximum.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone given§ A. Health Insurance ChoicesIn the HDHP, after the deductible, the employee pays co-insurance of 10 percent for in-network providers and 30 percent for out-of-network providers until total spending exceeds the out-of-pocket maximum ($2,500 for individuals, $5,000 for a couple, and $6,250 for a family), at which point all expenditures are paid by the insurer.
“In that plan, once an employee spends an amount in excess of the deductible, he must then pay co-insurance of 10 percent of allowed costs for in-network providers and 30 percent for out-of-network providers until his total spending exceeds the out-of-pocket maximum-$2,500 for individuals, $5,000 for a couple, and $6,250 for a family-at which point all expenditures are paid by the insurer.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ A. Health Insurance ChoicesThe PPO and HDHP have substantial differences in financial characteristics (e.g., premium, deductible, out-of-pocket maximum, HSA benefits) but, conditional on these financial elements, are identical on all other key features.
“The PPO and HDHP have substantial differences in financial characteristics (e.g., premium, deductible, out-of-pocket maximum, HSA benefits) but, conditional on these financial elements, are identical on all other key features.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceMore PPO enrollees answered incorrectly than correctly about the HDHP deductible, though the majority were not sure.
“In fact, more PPO enrollees answered incorrectly than correctly, though the majority were”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ A. Health Insurance ChoicesSince the HDHP introduction, the firm has promoted the financial benefits of that plan to employees in order to incentivize employees to economize on potentially wasteful medical expenditures.
“Since the HDHP introduction, the firm has promoted the financial benefits of that plan to employees in order to incentivize employees to economize on potentially wasteful medical expenditures (while returning some of those savings in the process).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive Evidence37.2 percent of consumers who expected to spend 1-5 hours on plan administration and logistics in the HDHP choose that plan, while only 5.1 percent of those who expect to spend > 20 hours on these activities choose that plan.
“37.2 percent of consumers who expected to spend 1-5 hours on plan administration and logistics in the HDHP choose that plan, while only 5.1 percent of those who expect to spend > 20 hours on these activities choose that plan.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceApproximately 70 percent of HDHP enrollees know the premium difference between the two plans, linked to the HSA subsidy, while only 20 percent of PPO enrollees do.
“Approximately 70 percent of HDHP enrollees know the premium difference between the two plans, linked to the HSA subsidy, while only 20 percent of PPO enrollees do.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceAlmost all HDHP enrollees know that HSA funds can be rolled over from year to year, while approximately 75 percent of PPO enrollees do.
“Almost all HDHP enrollees know that HSA funds can be rolled over from year to year, while approximately 75 percent of PPO enrollees do.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the full model (primary specification, column 3 of Table 4), consumers who believe that the PPO plan has a larger network of medical providers value the HDHP by $2,326 less than someone who correctly knows that these plans grant the same access; this difference is significantly different from 0, with a 95 percent CI upper bound of -$1,286.
“Consumers who believe that the PPO plan has a larger network of medical providers value the HDHP by $2,326 less than someone who correctly knows that these plans grants the same access (significantly different from 0, 95 percent CI upper bound of -$1,286).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Cost ModelThe moral hazard impact is small relative to the overall difference in consumers' plan valuations and does not markedly impact the parameter estimates.
“The results show the moral hazard impact is small relative to the overall difference in consumers' plan valuations and thus does not markedly impact our parameter estimates.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the full model, the point estimates for the effects of underestimating and overestimating total medical expenditures are wrong signed but not statistically different from zero.
“Though the point estimates are wrong signed they are not statistically different from zero.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ F. IdentificationNew employees are slightly more likely to choose the HDHP, likely to be younger, likely to have lower income, and more likely to be single.
“New employees are slightly more likely to choose the HDHP, likely to be younger, likely to have lower income, and more likely to be single.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the full model, the mean gamble interpretation of X is 920.47, lying well above 864.68, the upper bound of the 95 percent confidence interval for the baseline model with inertia.
“For risk preferences, in the full model we estimate a mean gamble interpretation of X = 920.47, lying well above 864.68, the upper bound of the 95 percent confidence interval for the baseline model with inertia.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ D. Types ModelThe distribution of information types is skewed toward uninformed, but with substantial heterogeneity and a non-negligible mass of highly informed consumers.
“The figure reveals that the distribution of types is skewed toward uninformed, but with substantial heterogeneity and a non-negligible mass of highly informed consumers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the baseline model with inertia, employee age is negatively related to risk aversion and significant at the 95 percent level, while female and income are also negatively related but small in magnitude and statistically indistinguishable from zero.
“As in the baseline model, employee age is negatively related to risk aversion, significant at the 95 percent level, while female and income are also negatively related but with effects small in magnitude and statistically indistinguishable from zero.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the incremental models, the coefficients for total medical expenditure knowledge and plan financial characteristic knowledge frictions are negative and large in magnitude, implying a distaste for the HDHP as expected.
“in the incremental models the coefficients for these frictions are negative and large in magnitude, implying a distaste for the HDHP as expected.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the types model, the average effect of frictions on HDHP utility is -$3,056 with standard deviation 2,299, both somewhat larger than these figures for the full model.
“The average effect of frictions on HDHP utility is -$3,056 with standard deviation 2,299 both somewhat larger that these figures for the full model”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ C. Frictions: Descriptive EvidenceAcross the three cohorts, 36-42 percent answer correctly, 29-36 percent overestimate their past expenditures, and 17-24 percent underestimate them.
“Across the three cohorts, 36-42 percent answer the question correctly, 29-36 percent overestimate their past expenditures, and 17-24 percent underestimate them.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the baseline model, the average consumer has a high degree of risk aversion, with a gamble interpretation X = $366.74, the amount the average consumer would be willing to lose to be indifferent about accepting a hypothetical gamble.
“The results reveal that the average consumer has what seems like a high degree of risk aversion with X = $366.74being the amount this consumer would be willing to lose to be just indifferent about accepting the hypothetical gamble.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the types model, the second most informed quartile has an average $1,158 disutility for the HDHP compared with the most informed consumers (top quartile), with values of $3,547 and $6,803 for the third and fourth most informed quartiles respectively.
“The second most informed quartile has an average $1,158 disutility for the HDHP compared with the most informed consumers (top quartile), with values of $3,547 and $6,803 for the third and fourth most informed quartiles respectively”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the structural model (column 4), estimated mean risk aversion yields a mean gamble interpretation of X = 952.89, lying well above the upper bound of the 95 percent confidence interval for the baseline model with inertia (and just above that upper bound for our primary full model estimates).
“Estimated mean risk aversion in this model yields a mean gamble interpretation of X = 952.89, lying well above the upper bound of the 95 percent confidence interval for the baseline model with inertia (and just above that upper bound for our primary full model estimates).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsIn the baseline model with inertia, σγ is much lower than in the baseline model and is approximately 60 percent of the much lower average μγ.
“Notably, σ γ is now much lower in the model with inertia relative to the baseline model as it is approximately 60 percent of the much lower average μ γ .”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ D. Survey Data: LimitationsNew HDHP enrollees exhibit similar information levels to existing enrollees, indicating that people with a full year of plan experience do not know much more than those who just signed up.
“new HDHP enrollees exhibit similar information levels to existing enrollees, indicating that people with a full year of plan experience do not know much more than those who just signed up.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown data§ IV. ResultsThe 95 percent CIs for each informed quartile's disutility do not overlap with each other.
“The 95 percent CIs for each quartile do not overlap with each other.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IV. ResultsThe upper bounds on the 95 percent CIs for the coefficients on time and hassle costs for strong dislike and 'accepts but is concerned' are -$79.74 and -$65.51, respectively.
“These are relatively precise estimates: the upper bounds on the 95 percent CIs for these coefficients are -$79.74and -$65.51,respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ ResultsThe baseline model predicts a mean welfare loss of $1,237 from the forced switch, with a population standard deviation of $851.
“The baseline model, where consumers are estimated to be more risk averse, predicts a mean welfare loss of $1,237 from the forced switch, with a population standard deviation of $851 .”
Quote in the paperSubstantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ VI. ConclusionThe sample is about 80 percent of the size of the mean number of employees present in each year from 2009-2012.
“This sample is about 80 percent of the size of the mean number of employees present in each year from 2009-2012.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ Figure 6This elasticity is 0.197 for the inertial baseline model, 0.178 for the full model, and 0.164 under a simple risk neutral model.
“This elasticity is 0.197 for the inertial baseline model, 0.178 for the full model, and 0.164 under a simple risk neutral model.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Reduced medical expenditures come from reductions in purely wasteful services (for the lower bound calculation).
- The authors state this as an assumption: Rational consumers value foregone services at a rate between zero and the marginal HDHP price (for the upper bound calculation).
- The authors state this as an assumption: The normal distribution for γ heterogeneity is truncated at 0.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone given§ VI. ConclusionVery few employees enroll in the HDHP in 2011 and switch to the PPO in 2012.
“Very few employees enroll in the HDHP in 2011 and switch to the PPO in 2012.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ IV. ResultsExcluding the first-stage inertia estimates substantially increases the impact of both plan financial knowledge measures and total medical expenditure knowledge measures, while moderately impacting other estimates.
“excluding the first-stage inertia estimates substantially increases the impact of both plan financial knowledge measures and total medical expenditure knowledge measures, while moderately impacting other estimates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ ResultsThe baseline model without inertia difference is $511.
“(the baseline model without inertia difference is $511 ).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ ResultsThe full model predicts $62 lower consumer surplus than the risk neutral case, while the baseline model with inertia predicts a $148 relative loss, almost two-and-a-half times as large as that from the full model.
“The full model predicts $62 lower consumer surplus than the risk neutral case, while the baseline model with inertia predicts a $148 relative loss, almost two-and-a-half times as large as that from the full model”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone given§ VI. ConclusionApproximately 5 percent of employees in the relevant locations choose the HMO option, remaining steady over time.
“Since approximately 5 percent of employees in the relevant locations choose this option (remaining steady over time) we exclude those who choose the HMO from our analysis and do not include the HMO option in our choice estimation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ IV. ResultsBoth types models have very high LR test statistics relative to the baseline model with inertia (as do our full model specifications).
“Both types models have very high LR test statistics relative to the baseline model with inertia (as do our full model specifications).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ ResultsThe model with structural frictions predicts mean consumer surplus loss of $741 with standard deviation $1,060.
“while these values are $741 and $1,060 respectively for the model with structural frictions.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
May combine two claims.
Findingown data§ VI. ConclusionBoth information frictions and perceived hassle costs are important factors for consumer health insurance choices at the large employer studied.
“we leveraged novel, individually linked, administrative, and survey data to show that both information frictions and perceived hassle costs are important factors for consumer health insurance choices at the large employer we study.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Figure 6The upper bound on the minimum elasticity to justify the policy change, when foregone medical care is valued at the marginal price, is 0.407 in the baseline model, 0.286 in the inertial baseline model, 0.258 in the full model, and 0.237 for the risk neutral model.
“The upper bound on the minimum elasticity to justify the policy change, when foregone medical care is valued at the marginal price, is 0.407 in the baseline model, 0.286 in the inertial baseline model, 0.258 in the full model, and 0.237 for the risk neutral model.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Reduced medical expenditures come from reductions in purely wasteful services (for the lower bound calculation).
- The authors state this as an assumption: Rational consumers value foregone services at a rate between zero and the marginal HDHP price (for the upper bound calculation).
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Interpretationreasoning§ IntroductionThe additional choice factors studied can matter for choice analysis, welfare analysis, and policy analysis, but the exact implications will depend on the specific context.
“We illustrate here that the additional choice factors we study can matter for choice analysis, welfare analysis, and policy analysis, but the exact implications will depend on the specific context.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ Standard ModelIn the simple case, the insurance plan decision depends on the consumer's out-of-pocket payment under different scenarios and his degree of risk aversion; health insurance is a tool for financial risk protection.
“In this simple case, the insurance plan decision depends on the consumer's out-of-pocket payment under different scenarios and his degree of risk aversion; health insurance is a tool for financial risk protection.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisereasoning§ C. Information Frictions in Plan ChoiceAccordingly, individual choices reflect real preferences for trading off premiums in exchange for shifts in either the distribution of out-of-pocket spending or nonfinancial attributes across different plans.
“Accordingly, individual choices reflect real preferences for trading off premiums in exchange for shifts in either the distribution of out-of-pocket spending or nonfinancial attributes across different plans.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoning§ IntroductionThe survey was conducted after consumers made their plan choices, potentially leading to confirmation bias or consumer forgetting and learning between open enrollment and survey administration.
“Third, the survey was conducted after consumers made their plan choices, potentially leading to (i) confirmation bias or (ii) consumer forgetting and learning between open enrollment and the survey administration.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ B. Nonfinancial Attributes in Plan ChoicePlans differ by the network of physicians and hospitals available, the time and hassle costs associated with dealing with claims, and the tax benefits of linked financial accounts.
“Plans differ by the network of physicians and hospitals available, the time and hassle costs associated with dealing with claims, and the tax benefits of linked financial accounts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone given§ Standard ModelThe individual knows with certainty the density of expenditures, can place a probability weight on each illness, knows treatment costs, and understands the terms of different plan options.
“However, he does know with certainty the density of expenditures-implicitly he is able to place a probability weight on each of the different illnesses that might befall him, know how much the appropriate treatment would cost, and understand the terms of the different plan options that result in different rates of cost sharing depending on expenditures/ illness states.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationreasoning§ IntroductionIncorporating information friction and hassle costs measures into typical insurance choice models could either increase or decrease the extent of estimated risk aversion.
“From a theoretical perspective, incorporating information friction and hassle costs measures into typical insurance choice models could either increase or decrease the extent of estimated risk aversion.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone given§ Standard ModelIndividuals are willing to pay a higher premium for a plan if it reduces the mean or variance of expected out-of-pocket spending, and their willingness to pay for the latter is increasing in risk aversion.
“Individuals are willing to pay a higher premium for a plan if it reduces the mean or variance of expected out-of-pocket spending and their willingness to pay for the latter is increasing in risk aversion.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ C. Information Frictions in Plan ChoiceThe standard model assumes that when individuals make insurance choices they can access and process the information necessary to make correct decisions under uncertainty.
“Importantly, this model assumes that when individuals make insurance choices they can access and process the information necessary to make correct decisions under uncertainty.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ Standard ModelThe model elements can be observed in widely available administrative datasets (e.g., expected expenditures for an individual and the plan options).
“Further, the model elements can be observed in widely available administrative datasets (e.g., expected expenditures for an individual and the plan options).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ IntroductionAll results presented are specific to the large employer context studied.
“We also note that all results presented here are specific to the large employer context that we study.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisereasoning§ B. Nonfinancial Attributes in Plan ChoiceHealth insurance plans are differentiated products across a variety of dimensions beyond simple financial risk protection.
“More generally, health insurance plans are differentiated products across a variety of dimensions beyond simple financial risk protection.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone given§ C. Information Frictions in Plan ChoiceThis assumption is critical and underlies positive analysis of choice patterns throughout the literature on health insurance markets.
“This assumption is critical and underlies positive analysis of choice patterns throughout the literature on health insurance markets.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone given§ IntroductionThe survey data are subject to potential concerns: consumer answers may reflect information about the specific plan dimension studied as well as other correlated factors, implying the answers are signals about information frictions rather than direct measurements.
“First, consumer answers may reflect information about the specific plan dimension studied as well as other correlated factors, implying the answers given are signals about information frictions rather than direct measurements of them.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisecitation§ Standard ModelThe canonical model of preferences for health insurance is based on a risk averse consumer who would prefer to pay a fixed premium to avoid losses in the bad state of the world in which he becomes sick.
“The canonical model of preferences for health insurance is based on a risk averse consumer who would prefer to pay a fixed premium to avoid losses in the bad state of the world in which he becomes sick (see, e.g., Arrow 1963 or Rothschild and Stiglitz 1976).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Arrow 1963
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rothschild and Stiglitz 1976 source
Probably not a substantial claim: may not pass S4 (based).
Premisenone given§ C. Information Frictions in Plan ChoiceIn the standard model, the choice of insurance plan relies entirely on individuals' risk preferences, their expenditure projections, and their values for plan attributes.
“In the model above, the choice of insurance plan relies entirely on individuals' risk preferences, their expenditure projections, and their values for plan attributes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ Standard ModelThe individual making a choice has uncertainty over health care expenditures in different states of the world.
“The individual making a choice has uncertainty over health care expenditures in different states of the world.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Premisereasoning§ B. Nonfinancial Attributes in Plan ChoiceModern health insurance is not a purely financial product.
“To better reflect actual choices, we must account for the fact that modern health insurance is not a purely financial product.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisereasoning§ B. Nonfinancial Attributes in Plan ChoiceIn the extended model, consumers still value plans as tools for risk protection, but may also be willing to pay more for a plan with valuable nonfinancial attributes.
“In this model, consumers still value plans as tools for risk protection, but, in addition, may be willing to pay more for a plan with valuable nonfinancial attributes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone given§ B. Nonfinancial Attributes in Plan ChoiceWith the rise of managed care and alternate benefit designs, the insurance one holds can determine the type of care available, the total price paid, and the hospitals and doctors one can access.
“With the rise of managed care and alternate benefit designs, the insurance one holds can determine the type of care available, the total price paid, and the hospitals and doctors one can access.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ B. Nonfinancial Attributes in Plan ChoiceThe introductions of health savings accounts (HSA) and flexible spending accounts (FSA) have introduced additional plan attributes not directly related to consumer risk protection.
“The introductions of health savings accounts (HSA) and flexible spending accounts (FSA) have introduced additional plan attributes not directly related to consumer risk protection.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ B. Nonfinancial Attributes in Plan ChoicePlans can have varying degrees of time and hassle costs linked to plan administration and logistics (e.g., dealing with medical bills).
“Plans can also have varying degrees of time and hassle costs linked to plan administration and logistics (e.g., dealing with medical bills).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone given§ IntroductionThere may be selection into answering the survey on unobservable dimensions that are correlated with information about health plan choices.
“Second, there may be selection into answering the survey on unobservable dimensions that are correlated with information about health plan choices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ IntroductionThe direction of the effect of incorporating information frictions and hassle costs on estimated risk aversion depends directly on the plans consumers can choose between and the relative information they have about each option.
“The direction of this effect will depend directly on the plans consumers can choose between and the relative information they have about each option.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ II. Data and Descriptive AnalysisThese data, combined with individually-linked survey data, allow us to move beyond this work and study multiple additional micro-foundations that could impact both plan enrollment and consumer welfare.
“These data, combined with individually-linked survey data, allow us to move beyond this work and study multiple additional micro-foundations that could impact both plan enrollment and consumer welfare.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisereasoning§ C. Information Frictions in Plan ChoiceConsumer choices no longer necessarily reflect the exact attributes of the plans (and preferences over those attributes) but, instead, beliefs about those attributes that could be incorrect.
“Consumer choices no longer necessarily reflect the exact attributes of the plans (and preferences over those attributes) but, instead, beliefs about those attributes that could be incorrect.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisereasoning§ C. Information Frictions in Plan ChoiceWithout the assumption of full information, in the standard model where preferences are merely over financial risk, the consumer might not know or understand the financial attributes that differentiate each plan, implying an inability to accurately forecast spending in each option.
“Without the assumption of full information, in the standard model where preferences are merely over financial risk the consumer might not know or understand the financial attributes that differentiate each plan, implying an inability to accurately forecast spending in each option.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ C. Information Frictions in Plan ChoiceIndividuals may not have perfect information on the nonfinancial attributes of plan options (e.g., provider networks and hassle costs), particularly in the absence of having experience with a plan.
“Similarly, individuals may not have perfect information on the nonfinancial attributes of plan options (e.g., provider networks and hassle costs), particularly in the absence of having experience with a plan.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. Information Frictions in Plan ChoiceWithout the assumption of full information, assessing welfare using revealed preference becomes more challenging.
“Without this assumption, assessing welfare using revealed preference becomes more challenging (see, e.g., Spinnewijn 2012 and Bernheim and Rangel 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Spinnewijn 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Bernheim and Rangel 2009 source
May combine two claims.
Interpretationreasoning§ C. Information Frictions in Plan ChoiceWhile choices may be affected by information frictions, these frictions may not impact true, welfare-relevant, utility conditional on enrolling in a given plan option.
“While choices may be affected by information frictions, these frictions may not impact true, welfare-relevant, utility conditional on enrolling in a given plan option (captured in equation (2)).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Premisenone given§ C. Information Frictions in Plan ChoiceThere are many ways that choices could differ from the model described in equation (2).
“There are many ways that choices could differ from the model described in equation (2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductreasoning§ A. Health Insurance ChoicesThis allows us to model relative consumer welfare from plan enrollment as a function of financial characteristics and subsequent risk exposure, rather than medical care differentiation.
“This allows us to model relative consumer welfare from plan enrollment as a function of financial characteristics and subsequent risk exposure, rather than medical care differentiation.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationreasoning§ A. Health Insurance ChoicesThis subsidy should be interpreted as the primary premium for the PPO relative to the HDHP.
“This subsidy should be interpreted as the primary premium for the PPO relative to the HDHP.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown data§ C. Information Frictions in Plan ChoiceOur empirical setting provides exactly that, by combining administrative data on claims and choices of insurance with a detailed survey on consumer information about plan attributes and key risk characteristics.
“Our empirical setting provides exactly that, by combining administrative data on claims and choices of insurance with a detailed survey on consumer information about plan attributes and key risk characteristics.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone given§ C. Information Frictions in Plan ChoiceTo compare the model in equation (2) to equation (3) requires both data on actual choices and plan attributes as well as measures of information and beliefs about plan attributes (or, alternatively, exogenous variation in the choice environment).
“To compare the model in equation (2) to equation (3) requires both data on actual choices and plan attributes as well as measures of information and beliefs about plan attributes (or, alternatively, exogenous variation in the choice environment).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ C. Frictions: Descriptive EvidenceThe answers to the rollover question suggest that there is real information content in the survey question answers, as most PPO enrollees can answer this simple question regarding the HDHP correctly.
“The answers to this question suggest that there is real information content in the survey question answers, as most PPO enrollees can answer this simple question regarding the HDHP correctly (rather than, e.g.,”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisereasoning§ C. Information Frictions in Plan ChoiceAddressing empirically whether information frictions exist and how important they are has been a challenge because the data requirements are substantial.
“Addressing this empirically has been a challenge because the data requirements are substantial.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ C. Information Frictions in Plan ChoiceThe feature that is perhaps most critical and potentially unlikely to hold in practice is that consumers are fully informed about health plan attributes.
“The feature that is perhaps most critical and potentially unlikely to hold in practice is that consumers are fully informed about health plan attributes.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationreasoning§ F. IdentificationIf the impact of frictions is correlated with expected medical spending or other moments of F, this could impact risk preference estimates in the full model.
“if the impact of frictions is correlated with expected medical spending (or other moments of F ), then this could also impact risk preference estimates in the full model.”
Quote in the paperSubstantial claimMay combine two claims.
Premiseown data§ C. Full ModelIn 2011, approximately 85 percent of consumers enroll in the PPO plan, so the β coefficients can be thought of as generally indexing the non-default plan when inertia is explicitly excluded.
“This approach works because, in 2011, approximately 85 percent of consumers enroll in the PPO plan so the β coefficients can also be thought of as generally indexing the non-default plan when inertia is explicitly excluded.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ IV. ResultsThe frictions with respect to total medical expenditure knowledge and plan financial characteristic knowledge imply lower utility for the HDHP plan on their own, but are overpowered by the other friction measures present in the full model.
“This suggests that these frictions do imply lower utility for the HDHP plan on their own, but, are overpowered by the other friction measures present in the full model.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ F. IdentificationIf the assumption that risk preferences and frictions are independent is violated but maintained for estimation, risk aversion could be over- or under-estimated depending on the true correlation between risk preferences and frictions.
“If the assumption that risk preferences and frictions are independent is violated, but we maintain that assumption for estimation, then risk aversion could be over or under estimated depending on the true correlation between risk preferences and frictions.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Risk preferences γ are independent of friction measures Z.
- The authors state this as an assumption: Friction measures are independent of inertia, conditional on demographics.
May combine two claims.
Interpretationown data§ Cost ModelPrivate information and moral hazard effects are likely to be quite small relative to consumers' total relative valuations of the two plans.
“Both effects are likely to be quite small relative to consumers' total relative valuations of the two plans.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ IV. ResultsUnobserved heterogeneity in risk preferences becomes much smaller in the full models with information frictions, time and hassle costs, and inertia, suggesting that unobserved heterogeneity in γ may be capturing information measured directly in the survey data.
“This unobserved heterogeneity becomes much smaller as we move to the full models with information frictions, time/hassle costs, and inertia, suggesting that unobserved heterogeneity in γ may be capturing information that we measure directly in our survey data.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ C. Frictions: Descriptive EvidenceWhile individuals are not well equipped to estimate their total expenditures in the past year, even to the level of expenditure buckets, people do not appear to recognize this lack of understanding.
“Thus, while it appears individuals are not well equipped to estimate their total expenditures in the past year, even to the level of expenditure buckets, people do not appear to recognize this lack of understanding.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ C. Frictions: Descriptive EvidenceThere is meaningful multi-dimensional heterogeneity across these frictions, and modeling them in a disaggregated manner could be fruitful.
“This suggests that there is meaningful multi-dimensional heterogeneity across these frictions, and that modeling them in a disaggregated manner could be fruitful.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ F. IdentificationNew employees span the ranges of age, gender, and income seen in the full population with non-negligible mass, such that estimates of preferences based on observable heterogeneity can credibly be extrapolated from one group to the other.
“Importantly, new employees span the ranges of age, gender, and income seen in the full population with non-negligible mass, such that estimates of preferences based on observable heterogeneity can credibly be extrapolated from one group to the other.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone given§ III. Empirical FrameworkWhile risk preferences impact both choices and welfare, a lack of information may be relevant for choices given a menu of options but may not impact actual welfare conditional on enrollment in an option.
“While risk preferences impact both choices and welfare, a lack of information may be relevant for choices given a menu of options but may not impact actual welfare conditional on enrollment in an option.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ IV. ResultsOverall, these results imply a slightly larger impact of including our additional friction measures on risk preference estimates, and, in turn, the welfare loss from additional risk exposure studied in Section V.
“Overall, these results imply a slightly larger impact of including our additional friction measures on risk preference estimates, and, in turn, the welfare loss from additional risk exposure studied in Section V.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ B. Baseline Model With InertiaIn this setting, if consumers take no action at the time of plan choice in 2012, they will be enrolled in the plan they chose previously as a default option.
“In our setting, if consumers take no action at the time of plan choice in 2012, they will be enrolled in the plan they chose previously as a default option.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown data§ D. Survey Data: LimitationsIf confirmation bias were present, it would have to manifest on different dimensions for different consumers, which the authors believe is less likely than the case where it is present on similar dimensions across consumers.
“This suggests that if confirmation bias were present, it would have to manifest on different dimensions for different consumers, which we believe is less likely than the case where it is present on similar dimensions across consumers.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ D. Survey Data: LimitationsConsumers who answer the survey can be easily classified into informed or uninformed overall, and those classified as uninformed would had to have forgotten everything they know since open enrollment.
“Thus, consumers who answer the survey can be easily classified into informed or uninformed overall, and those classified as uninformed would had to have forgotten everything they know since open enrollment.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ III. Empirical FrameworkThe analysis in the previous section provides evidence that information frictions are present for a variety of key choice dimensions and are correlated with consumers' health plan choices in a manner that implies more informed consumers are choosing plans that provide them more value.
“The analysis in the previous section provides evidence that information frictions are present for a variety of key choice dimensions and are correlated with consumers' health plan choices in a manner that implies more informed consumers are choosing plans that provide them more value.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisecitation§ B. Baseline Model With InertiaPrior work illustrates that inertia, defined as choice persistence not resulting from stable preferences, can have a substantial impact on the choices made and consumer welfare.
“Prior work (e.g., Handel 2013 and Marzilli Ericson 2014) illustrates the inertia, defined as choice persistence not resulting from stable preferences, can have a substantial impact on the choices made and consumer welfare.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown data§ IV. ResultsTaken together, the results across the estimated models reveal our friction measures both enhance choice predictions and impact risk preference estimates.
“Taken together, the results across the estimated models reveal our friction measures both enhance choice predictions and impact risk preference estimates.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone given§ VI. ConclusionThe authors asked simple questions that consumers could easily understand and took a conservative stance in their main analysis on the exact structural meaning of their answers.
“we asked simple questions that consumers could easily understand and took a conservative stance in our main analysis on the exact structural meaning of their answers.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ ResultsThe figure reveals substantial distributional implications of the forced switch and that incorporating additional friction measures drives a clear empirical wedge between demand and the welfare-relevant valuation of the HDHP relative to the PPO.
“The figure reveals both that there are substantial distributional implications of the forced switch (not surprising given underlying heterogeneity in health risk) and that incorporating our additional friction measures drives a clear empirical wedge between demand and the welfare-relevant valuation of the HDHP relative to the PPO.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
May combine two claims.
Interpretationown data§ ResultsThe similarity between the full model results with and without inertia suggests (i) our friction measures do an excellent job of proxying for inertia when it is excluded and (ii) that our welfare conclusions in the full model are robust to the inclusion of inertia estimates from the administrative data.
“Additionally, the similarity between the full model results with and without inertia suggests that (i) our friction measures do an excellent job of proxying for inertia when it is excluded and (ii) that our welfare conclusions in the full model are robust to the inclusion of inertia estimates from the administrative data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ VI. ConclusionGrubb and Osborne (2015) find similar behavior in cellular phone markets, where consumers also chose from menus of potentially complex nonlinear contracts.
“Grubb and Osborne (2015) find similar behavior in cellular phone markets, where consumers also chose from menus of potentially complex nonlinear contracts.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Grubb and Osborne (2015) source
May combine two claims.
Interpretationown data§ V. Policy Analysis: Welfare Impact of Forced HDHP SwitchA key distinction for the full model relative to the baseline models is that the inclusion of information friction measures causes a meaningful change to risk preference estimates without themselves impacting welfare conditional on enrollment.
“A key distinction for the full model relative to the baseline models is that the inclusion of information friction measures causes a meaningful change to risk preference estimates without themselves impacting welfare conditional on enrollment.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
- The authors state this as an assumption: The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
Classified as probably not a substantial claim.
Interpretationreasoning§ VI. ConclusionThe ability to directly compare the authors' results to the structural health insurance literature is a key benefit of not eliciting rich measures of consumer beliefs.
“In our analysis, the ability to directly compare our results to the structural health insurance literature is a key benefit of not taking this approach”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ VI. ConclusionThe sample omits people who select the sparsely chosen HMO option that the authors exclude from the analysis.
“This sample also omits people who select the sparsely chosen HMO option that we exclude from the analysis.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone given§ VI. ConclusionThe counterfactual analysis studies a forced choice, or direct allocation of consumers to plans, rather than the case where consumers choose from a new menu of plans.
“It is important to note that this counterfactual analysis studies a forced choice, or direct allocation of consumers to plans, rather than the case where consumers choose from a new menu of plans.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ V. Policy Analysis: Welfare Impact of Forced HDHP SwitchThe percentage of firms only offering HDHPs is projected to increase to 30 percent in 2015, up from 16 percent in 2014.
“The percentage of firms only offering HDHPs is projected to increase to 30 percent in 2015, up from 16 percent in 2014.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Towers Watson (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ VI. ConclusionThe same logic extends naturally to other information frictions.
“This same logic extends naturally to other information frictions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationown data§ Figure 6The analysis illustrates how an employer insurance decision or insurance regulation decision could be directly impacted when the underlying choice model includes detailed measures of information frictions and hassle costs.
“our analysis illustrates how an employer insurance decision or insurance regulation decision could be directly impacted when the underlying choice model includes detailed measures of information frictions and hassle costs.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ IV. ResultsThe change in risk preference estimates as a result of including frictions directly impacts welfare analysis and the investigation of counterfactual insurance allocation policies.
“The change in risk preference estimates as a result of including frictions directly impacts welfare analysis and the investigation of counterfactual insurance allocation policies, which we now turn to.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ VI. ConclusionBarseghyan et al. (2013) use complementary approaches based on careful modeling, assumptions on the choice process, and administrative data alone.
“That paper, as well as the Barseghyan et al. (2013) paper, use complementary approaches (relative to this paper) based on the combination of careful modeling, assumptions on the choice process, and administrative data alone.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Barseghyan et al. (2013) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ V. Policy Analysis: Welfare Impact of Forced HDHP SwitchFrom 2010 to 2014, enrollment in HDHPs increased from 15 percent to 33 percent.
“This study shows, for example, that from 2010 to 2014 enrollment in HDHPs increased from 15 percent to 33 percent.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Towers Watson (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ VI. ConclusionThe actual question asked to employees is carefully worded so as to define what the authors refer to as time and hassle costs.
“The actual question asked to employees is presented in online Appendix A and is carefully worded so as to define what we refer to as time and hassle costs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Study design and conductreasoning§ VI. ConclusionSurvey data should be interpreted with caution because of issues like selection bias on unobservable characteristics, confirmation bias, and consumer experiential learning and forgetting.
“those data should be interpreted with some caution because of issues like (i) selection bias on unobservable characteristics; (ii) confirmation bias; and (iii) consumer experiential learning and forgetting.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ ResultsWhen the firm actually switched all consumers to the HDHP in 2013, the plan premium and financial characteristics remained constant.
“when the firm actually switched all consumers to the HDHP in 2013, the plan premium and financial characteristics remained constant”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ Figure 6As the models incorporate information frictions and hassle costs and the mean consumer welfare loss from risk exposure due to the policy change decreases, this policy becomes more attractive and is justifiable at lower ξ.
“Thus, as the models incorporate information frictions and hassle costs and the mean consumer welfare loss from risk exposure due to the policy change decreases, this policy becomes more attractive and is justifiable at lower ξ .”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ VI. ConclusionIntegrating survey data with administrative data can produce valuable insights, especially when it is highly unlikely one can obtain rich enough administrative data to answer certain questions.
“we argue that integrating survey data with administrative data can produce valuable insights, especially when it is highly unlikely one can obtain rich enough administrative data to answer certain questions, as in our setting.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ VI. ConclusionThe authors' estimates do not have specific implications for questions like how many plans should be offered in a market, but do have implications for what level of risk exposure regulators allow insurers to offer.
“This implies that, e.g., our estimates do not have specific implications for questions like how many plans should be offered in a market, but do have implications for, e.g., what level of risk exposure regulators allow insurers to offer.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ IV. ResultsThe results on risk preferences are robust to the underlying model of inertia; whether we include first-stage estimates or allow frictions to proxy for inertia, the implications for risk preferences, and our counterfactual welfare analysis, are similar.
“This illustrates the robustness of our results on risk preferences to the underlying model of inertia; whether we include first-stage estimates or allow frictions to proxy for inertia, the implications for risk preferences, and our counterfactual welfare analysis, are similar.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoning§ VI. ConclusionExperiential learning is not an issue for the authors if this learning occurred prior to or during the open enrollment period in 2011 since they use the survey measures as proxies for information and expectations at the time of plan choice; it can only be an issue if it occurs in between open enrollment and the survey administration.
“We note that experiential learning is not an issue for us if this learning occurred prior to or during the open enrollment period in 2011 since we use the survey measures as proxies for information and expectations at the time of plan choice: it can only be an issue if it occurs in between open enrollment and the survey administration.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ V. Policy Analysis: Welfare Impact of Forced HDHP SwitchThe Affordable Care Act (ACA) legislates the actuarial equivalence values (degrees of cost sharing) that private insurance companies can offer to consumers.
“a leading example being the Affordable Care Act (ACA) which legislates the actuarial equivalence values (degrees of cost sharing) that private insurance companies can offer to consumers (Kaiser Family Foundation 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kaiser Family Foundation 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ VI. ConclusionIn markets where consumers have many potential insurance choices, such as Medicare Part D or the state exchanges proposed in the ACA, the information frictions and relative plan hassle cost differences could be much larger than those documented in the authors' setting with only two primary plan options.
“In markets where consumers have many potential insurance choices, such as Medicare Part D or the state exchanges proposed in the ACA, the information frictions and relative plan hassle cost differences could be much larger than those we document in our setting with only two primary plan options.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ VI. ConclusionTime and hassle costs could have tangible welfare implications once enrolled.
“On the other hand, time and hassle costs could have tangible welfare implications once enrolled.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationreasoning§ VI. ConclusionIdentification using survey data will almost always be more open to interpretation than identification using exogenous variation in administrative data.
“identification using survey data will almost always be more open to interpretation than identification using exogenous variation in administrative data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ VI. ConclusionHastings et al. (2013) provide an example of linked survey and administrative data in the context of the economics of education.
“See, e.g., Hastings et al. (2013) for an example of linked survey and administrative data in the context of the economics of education.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hastings et al. (2013) source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationcitation§ VI. ConclusionThis is true broadly for other markets and other empirical questions in economics.
“This is true broadly for other markets and other empirical questions in economics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ VI. ConclusionThe case where time and hassle costs are not welfare-relevant could also represent a counterfactual scenario where relative plan hassle costs are reduced to zero.
“The case where time and hassle costs are not welfare-relevant could also represent a counterfactual scenario where relative plan hassle costs are reduced to zero.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone given§ VI. ConclusionTime and hassle costs are an important friction to include in all models, but do not have a natural fit into a one dimensional type index with information frictions since they are a distinct type of friction.
“Time and hassle costs are an important friction to include in all models, but do not have a natural fit into a one dimensional type index with information frictions since they are a distinct type of friction.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ VI. ConclusionGiven generally low estimates in the literature of the price elasticity of medical expenditures, it is likely such ex post responses would not have a major impact on total ex post utility, implying that lack of knowledge on financial dimensions is not likely to markedly impact ex post behavior.
“Given generally low estimates in the literature of the price elasticity of medical expenditures, it is likely such ex post responses would not have a major impact on total ex post utility, implying that lack of knowledge on financial dimensions is not likely to markedly impact ex post behavior.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ VI. ConclusionThe subsidy in the authors' context may be interpreted differently by consumers than if it were a premium.
“It is worth noting that the subsidy in our context may be interpreted differently by consumers than if it were a premium (see, e.g.,Kőszegi and Rabin 2006 or Kahneman and Tversky 1979) for work that illustrates this point).”
Quote in the paperNot a substantial claim0 of 2 sources checked
The authors state this as an assumption.
A key assumption maintained in all models that include friction measures is that those measures are orthogonal to classical risk preferences, conditional on detailed consumer demographic and health information.
“A key assumption maintained in all models that include friction measures is that those measures are orthogonal to classical risk preferences, conditional on detailed consumer demographic and health information.”
The authors state this as an assumption.
In the counterfactual exercise, the authors assume that even though the frictions they measure impact willingness to pay, conditional on being enrolled in a plan they do not impact welfare.
“we (i) keep all HDHP plan characteristics as observed in our setting and (ii) assume that, even though the frictions we measure impact willingness to pay, conditional on being enrolled in a plan they do not impact welfare.”
The authors state this as an assumption.
The authors assume that individuals observe each type of plan attribute with two types of error.
“We assume that individuals observe each type of plan attribute with two types of error.”
The authors state this as an assumption.
Consumers have a similar amount of information about the simpler PPO option, and their answers to survey questions about the HDHP represent the relative difference in information about the HDHP and PPO.
“An implicit assumption is that consumers have a similar amount of information about the simpler PPO option, and that, consequently, their answers to survey questions about the HDHP represent the relative difference in information about the HDHP and PPO.”
The authors state this as an assumption.
Families' beliefs about their out-of-pocket expenditures conform to F_kj.
“The baseline model assumes that families' beliefs about their out-of-pocket expenditures conform to F kj ( • ) .”
The authors state this as an assumption.
Families know the distributions of their future health expenditure risk F_kj and that this risk conforms to the output of the cost model.
“First, it assumes that families know the distributions of their future health expenditure risk F kj and that this risk conforms to the output of the cost model described later in this section.”
The authors state this as an assumption.
Consumers are fully informed about their own health risk.
“This presumes that consumers (i) are fully informed about their own health risk, and (ii) fully understand the mapping between total health expenses and out-of-pocket expenses in each plan.”
The authors state this as an assumption.
Consumers fully understand the mapping between total health expenses and out-of-pocket expenses in each plan.
“This presumes that consumers (i) are fully informed about their own health risk, and (ii) fully understand the mapping between total health expenses and out-of-pocket expenses in each plan.”
The authors state this as an assumption.
Plans are identical (up to mean zero idiosyncratic ε) on nonfinancial characteristics such as provider network and time/hassle costs.
“Finally, the baseline model also assumes that plans are identical (up to mean zero idiosyncratic ϵ ) on nonfinancial characteristics such as provider network and time/ hassle costs.”
The authors state this as an assumption.
Families have constant absolute risk aversion (CARA) preferences.
“Given this setup, we follow the literature and assume that families have constant absolute risk aversion (CARA) preferences”
The authors state this as an assumption.
The idiosyncratic preference shock ε_kj is mean zero in estimation.
“Here, ϵ kj is a family-plan specific idiosyncratic preference shock that is assumed to be mean zero in estimation.”
The authors state this as an assumption.
Families choose the plan j that maximizes U_kj.
“Subject to this model, families choose the plan j that maximizes U kj .”
The authors state this as an assumption.
U_kj has the von Neumann-Morgenstern expected utility formulation.
“We assume that U kj has the following von Neumann-Morgenstern (vNM) expected utility formulation:”
The authors state this as an assumption.
Inertia can be represented as an implied monetary cost of switching plans when a default option is present.
“We incorporate inertia into the baseline model as an implied monetary cost of switching plans when a default option is present, similar in structural interpretation to a tangible switching cost.”
The authors state this as an assumption.
The model with inertia is identical to the baseline model apart from the inclusion of η.
“Apart from the inclusion of η the model with inertia is identical to the baseline model.”
The authors state this as an assumption.
The value of HSA contributions is equivalent to the value of pretax dollars relative to post-tax dollars, and thus depends on the marginal tax rate.
“The value of these contributions is equivalent to the value of pretax dollars relative to post-tax dollars, and thus depends on marginal tax rate τ k .”
The authors state this as an assumption.
Inertia is modeled as an incremental cost paid conditional on switching plans.
“First, inertia is modeled as an incremental cost paid conditional on switching plans (following, e.g., Handel 2013; Shum 2004; or Dube et al. 2008).”
The authors state this as an assumption.
Risk preferences γ are independent of friction measures Z.
“First, we assume that risk preferences γ are independent of friction measures Z .”
The authors state this as an assumption.
Frictions shift utility by the same amount for all potential realizations of health expenditures from F.
“The full model also assumes that frictions shift utility by the same amount for all potential realizations of health expenditures from F .”
The authors state this as an assumption.
Friction measures are independent of inertia, conditional on demographics.
“Identification of the full model directly follows the fact that our friction measures are observable variables combined with the assumptions that our friction measures are independent of (i) risk preferences and (ii) inertia, conditional on demographics.”
The authors state this as an assumption.
The cost model assumes no private information and no moral hazard; total expenditures do not vary with plan j.
“The cost model assumes that there is no private information and no moral hazard (total expenditures do not vary with j ).”
The authors state this as an assumption.
The model does not capture correlations between health risk and risk preferences.
“In addition, the model does not capture correlations between health risk and risk preferences.”
The authors state this as an assumption.
For the baseline model, inertia, information frictions, and time and hassle costs are assumed away, and consumer beliefs about future expenditures correspond to the output of the cost model Fkj.
“For the baseline model, inertia, information frictions, and time and hassle costs are assumed away and it is assumed that consumer beliefs about future expenditures correspond to the output of the cost model F kj .”
The authors state this as an assumption.
The distribution of risk preferences in the population is identical for new and existing employees, conditional on observable heterogeneity.
“Together with the assumption that the distribution of risk preferences in the population is identical for both groups, conditional on observable heterogeneity, the distinction between new and existing employees identifies inertia separately from risk preferences.”
The authors state this as an assumption.
The new and existing employee groups are identical on dimensions other than inertia and additional frictions.
“Since this model assumes no additional frictions, it assumes that the two groups are identical on those dimensions.”
The authors state this as an assumption.
The random coefficient γk for risk preferences is normally distributed with a mean linearly related to observable characteristics XkA.
“In the primary implementation for each model we assume that the random coefficient γ k for risk preferences is normally distributed with a mean that is linearly related to observable characteristics X k A”
The authors state this as an assumption.
The family-plan specific error terms εkj are i.i.d. normal for each j with zero mean and variance σεj.
“We assume that the family-plan specific error terms ϵ kj are i.i.d.normal for each j with zero mean and variance σ ϵ j .”
The authors state this as an assumption.
The inertia term η(XkB) is related linearly to demographics XkB.
“We assume that the inertia term, η ( X k B ) is related linearly to demographics X k B”
The authors state this as an assumption.
A parametric form is assumed for the population distribution of risk preferences, conditional on demographics.
“we assume a parametric form for the population distribution of risk preferences (conditional on demographics), which leads to point identification of this distribution.”
The authors state this as an assumption.
Correlations between frictions Z and inertia η are not explicitly modeled.
“We do not explicitly model correlations between frictions Z and inertia η .”
The authors state this as an assumption.
All information frictions are non-welfare-relevant conditional on enrollment in the HDHP.
“For our friction measures, we assume that all information frictions are non-welfare-relevant conditional on enrollment.”
The authors state this as an assumption.
The welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.
“In essence, we assume that the welfare-relevant utility (or utility conditional on enrollment) is that of a perfectly informed consumer that faces traditional uncertainty with respect to medical expenditures.”
The authors state this as an assumption.
The price elasticity of medical expenditures is homogeneous in the population.
“To simplify our analysis, we assume a homogeneous elasticity in the population.”
The authors state this as an assumption.
Consumers have a 0 price elasticity for medical utilization throughout the analysis.
“Throughout our analysis we have assumed that consumers have a 0 price elasticity for medical utilization.”
The authors state this as an assumption.
Reduced medical expenditures come from reductions in purely wasteful services (for the lower bound calculation).
“If we directly compare ΔTC to the consumer welfare implications from the choice model, we are implicitly assuming that reduced medical expenditures come from reductions in purely wasteful services.”
The authors state this as an assumption.
Rational consumers value foregone services at a rate between zero and the marginal HDHP price (for the upper bound calculation).
“rational consumers should value the foregone services at a rate in between zero and the marginal HDHP price.”
The authors state this as an assumption.
The normal distribution for γ heterogeneity is truncated at 0.
“given that the normal distribution for γ heterogeneity is truncated at 0.”
The authors state this as an assumption.
Consumers treat the subsidy as a relative premium, or relative difference in money between the plans, regardless of whether it represents a gain or loss from their baseline.
“Throughout our analysis, we presume that consumers treat the subsidy as a relative premium, or relative difference in money between the plans, regardless of whether it represents a gain or loss from their baseline.”
The authors state this as an assumption.
A 35 percent marginal tax rate on income, near the average in the population.
“This analysis assumes a 35 percent marginal tax rate on income, near the average in the population.”
The authors state this as an assumption.
Risk aversion with respect to plan characteristics should not be a welfare relevant component of utility because it does not impact marginal utility in good and bad states of the world.
“we believe this should not be a welfare relevant component of utility, since it does not actually impact marginal utility in good and bad states of the world.”
The authors state this as an assumption.
γ is truncated just above zero, at 10^-15, though this is generally nonbinding.
“We assume that γ is truncated just above zero, at 10 -15 , though this is generally nonbinding.”
The authors state this as an assumption.
New employees have the same distribution of information frictions and hassle costs as existing employees.
“this approach in the full model requires the assumption that new employees have the same distribution of information frictions and hassle costs as existing employees.”
The authors state this as an assumption.
Idiosyncratic preferences ϵ are welfare-relevant.
“We also follow convention and assume that idiosyncratic preferences ϵ are welfare-relevant, though these estimates are small in magnitude so this assumption doesn't impact the analysis in any substantial way.”
The authors state this as an assumption.
Knowledge about HSA tax benefits is non-welfare relevant.
“we also assume that knowledge about HSA tax benefits are also non-welfare relevant, though this is a case where it is plausible that this friction could also impact ex post behavior, by causing the consumer to place less money into the HSA.”
The authors state this as an assumption.
Zero marginal value of medical care forgone.
“These results assume zero marginal value of medical care forgone.”
The authors state this as an assumption.
Employees make no incremental HSA contributions.
“Under the assumption that employees make no incremental HSA contributions, 35 percent would have been better off.”
The authors state this as an assumption.
All employees contribute the maximum amount to their HSA.
“If we assume that all employees contribute the maximum amount to their HSA, 73 percent would have been better off in that plan ex post.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A few studies on health insurance have employed inertia to describe stickiness to alternatives with certain risk levels.
“A few studies on health insurance have employed inertia to describe the stickiness to the alternatives with certain risk levels (Handel 2013; Handel and Kolstad 2015).”
From Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia (2022) · cites this paper as Handel and Kolstad 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Average friction valuation differs between introduction and results
MajorThe introduction reports a $1,694 average shift toward the PPO relative to a frictionless consumer. The results report $1,787 for the average full-model shift on the same comparison.
“Aggregating across all frictions measures we include, the average consumer is willing to pay $1,694 more for the PPO relative to a fully informed consumer with zero perceived hassle costs.”
“Aggregating over all friction measures and estimated coefficients, in the full model the average impact of these frictions on HDHP willingness to pay is -$1,787 with a standard deviation of 1,303.64 .”
Table 5 does not reproduce Table 4's full-model error estimate
MajorTable 5 says it repeats the full model from Table 4, but lists its HDHP preference-shock standard deviation as 17.70. The corresponding full-model entry in Table 4 is 0.11.
“| σ ε , HDHP | 5.01 | 17.70 | 0.07 | 1,929.25 |”
“σ ε , HDHP 149.23 5.01 0.11 0.13”
Provider-network knowledge is assigned to the wrong HDHP cohorts
MinorThe prose assigns roughly 49% to incumbent enrollees and 41% to new enrollees. Table 3 assigns 41.28% to incumbents and 49.39% to new enrollees.
“Forty-nine percent of incumbent HDHP enrollees, 41 percent of new HDHP enrollees, and 32 percent of PPO enrollees understand that one can access the same physicians in-network in both plans.”
“| HDHP: existing | 41.28 | 6.74 | 2.76 | 49.22 | | | | | HDHP: new | 49.39 | 3.33 | 4.20 | 43.08 | | | |”
Survey response rate does not match the counts
MinorThe three cohorts yielded 1,661 responses out of 4,500 invitations, an overall response rate of 36.9%, not 38%.
Reported 38 · recomputed 36.911111
“Of the 1,500 initially contacted in each group, we received responses from 579 incumbent HDHP enrollees, 571 new HDHP enrollees, and 511 PPO enrollees, implying an average overall response rate of 38 percent.”
HDHP premium changes sign between definitions
MinorThe HDHP premium is first defined as the negative of the subsidy and tax benefit, but its later substituted expression is positive. Those definitions imply opposite effects in the stated consumption equation, which subtracts the premium.
“P k, HDHP = -(HS A k S + τ k HS A k C ) .”
“P k, HDHP = HS A k S + τ k ˆ HS A k C”
Introductory gamble values differ from the model results
MinorThe introduction gives loss amounts of $913 for the full model and $924 for the types model. The results section instead gives $920.47 and $930.64 for those models.
“in the full model with all frictions the consumer would be indifferent if the gamble included a 50 percent loss of $913, while in the types model this value is $924.”
“The average consumer "gamble interpretation" in the main types model is X = 930.64, which is similar to X = 920.47 for the full model”
Baseline age effect is described in opposite directions
MinorThe baseline results say risk aversion increases with age. The following paragraph calls a negative age relationship in the inertia model consistent with the baseline model.
“Risk aversion is slightly increasing in age and income”
“As in the baseline model, employee age is negatively related to risk aversion, significant at the 95 percent level”
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Uninformed Choices in PerishablesPreprint
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The Design of the RAND Health Insurance Experiment: A Retrospective
Newhouse, J. P. (2020) · Evaluation Review · doi:10.1177/0193841x20976520 · Cited by 6 · see citing works
The modest effects of fact boxes on cancer screening
Eber, M. R., Sunstein, C. R., Hammitt, J. K., & Yeh, J. M. (2021) · Journal of Risk and Uncertainty · doi:10.1007/s11166-021-09344-x · Cited by 6 · see citing works
Adverse Selection and Consumer Inertia: Empirical Evidence from the Dutch Health Insurance Market
Croes, R. R., Schut, E., & Varkevisser, M. (2022) · The European Journal of Health Economics · doi:10.1007/s10198-024-01725-8 · Cited by 5 · see citing works
Burkovskaya, A., Teperski, A., & Atalay, K. (2021) · Journal of Risk & Insurance · doi:10.1111/jori.12362 · Cited by 5 · see citing works
Withagen-Koster, A. A., van Kleef, R. C., & Eijkenaar, F. (2023) · Health Policy · doi:10.1016/j.healthpol.2023.104763 · Cited by 5 · see citing works
Consumer Responses to Firms’ Voluntary Disclosure of Information
Avery, R. J., Cawley, J., Eddelbuettel, J. C. P., Eisenberg, M. D., Mann, C., & Mathios, A. (2022) · American Journal of Health Economics · doi:10.1086/722269 · Cited by 4 · see citing works
Generic and Branded Pharmaceutical Pricing: Competition Under Switching Costs*
Janssen, A. (2023) · The Economic Journal · doi:10.1093/ej/uead021 · Cited by 4 · see citing works
Myerson, R. M., & Li, H. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3966511 · Cited by 4 · see citing works
When full insurance may not be optimal: The case of restricted substitution
Jaspersen, J. G. (2022) · Health Economics · doi:10.1002/hec.4491 · Cited by 3
The Value of Choice in Mandatory Health InsurancePreprint
Biener, C., & Zou, L. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3778635 · Cited by 3 · see citing works
Demystifying the Communication-Driven Usefulness Hypothesis
Nakayama, M., & Leon, S. (2019) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/ijhisi.2019100104 · Cited by 3 · see citing works
Employer risk‐adjustment transitions with inertial consumers: Evidence from CalPERS
Handel, B., Hong, N., Hua, L. M., & Ito, Y. (2023) · Journal of Risk & Insurance · doi:10.1111/jori.12417 · Cited by 3 · see citing works
Self-citationDo people have a bias for low deductible insurance?
Kunreuther, H., & Pauly, M. V. (2022) · Journal of Risk and Uncertainty · doi:10.1007/s11166-022-09368-x · Cited by 3 · see citing works
High Deductible Health Plans and Use of Free Preventive Services Under the Affordable Care Act
Shafer, P. R., Dusetzina, S. B., Sabik, L. M., Platts‐Mills, T. F., Stearns, S. C., & Trogdon, J. G. (2023) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.1177/00469580231182512 · Cited by 3 · see citing works
Framing as Information DesignPreprint
Caplin, A., & Martin, D. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3124194 · Cited by 3 · see citing works
Age Penalties and Take-Up of Private Health InsurancePreprint
Kettlewell, N., & Zhang, Y. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3983652 · Cited by 2 · see citing works
Dahl, G. B., & Forbes, S. J. (2023) · Journal of Public Economics · doi:10.1016/j.jpubeco.2023.104858 · Cited by 2 · see citing works
Water Tariffs and Consumers' Inaction
Ornaghi, C., & Tonin, M. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3170247 · Cited by 2
Attention Please! Health Plan Choice and (In-)AttentionPreprint
Bischof, T., Gerfin, M., & Müller, T. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4156313 · Cited by 2 · see citing works
Optimal menu when agents make mistakes
Mikhalishchev, S. (2022) · Research in Economics · doi:10.1016/j.rie.2022.12.001 · Cited by 2 · see citing works
Misperceptions and Contract Distortions in Insurance MarketsPreprint
Solomon, A. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3787556 · Cited by 1 · see citing works
Mullainathan, S., & Obermeyer, Z. (2021) · Harvard Dataverse · doi:10.7910/dvn/iumio6 · Cited by 1
Economics as a Multi-Paradigmatic Science: the ‘Best Kept Secret’ of Irrational Choice
Zafirovski, M. Z. (2017) · The American Sociologist · doi:10.1007/s12108-017-9353-1 · Cited by 1 · see citing works
Horizon effects and adverse selection in health insurance markets
Darmouni, O., & Zeltzer, D. (2022) · Canadian Journal of Economics/Revue canadienne d économique · doi:10.1111/caje.12590 · Cited by 1 · see citing works
Abaluck, J., & B, J. G. A. (2011) · ICPSR Data Holdings · doi:10.3886/e112428v1
Obfuscation and Rational Inattention in Digitalized MarketsPreprint
Janssen, A., & Kasinger, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3779853
Competition in Health Care Markets: Treatment Volume and Quality
Boone, J. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3159199
Optimal Credit Scores Under Adverse SelectionPreprint
Immorlica, N., Sztutman, A., & Townsend, R. M. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4113505
Employer‐provided health insurance: Are two options too many?
Collier, T., & Williams, M. L. (2022) · Southern Economic Journal · doi:10.1002/soej.12573
An evaluation of the Be Your Own Baby public awareness campaign
Marthey, D., Rashid, H., Xie, L., et al. (2021) · Health Services Research · doi:10.1111/1475-6773.13698
Tax Refund Uncertainty: Evidence and Welfare Implications
Caldwell, S., Nelson, S., & Waldinger, D. C. (2021) · doi:10.2139/ssrn.3771402
Zhang, C., Ding, Y., & Peng, Q. (2023) · Quality & Quantity · doi:10.1007/s11135-023-01699-4
Comparison Friction: Experimental Evidence from Medicare Drug Plans
Kling, J., Mullainathan, S., Shafir, E., et al. (2011) · doi:10.3386/w17410
Evaluating consumers’ choices of Medicare Part D plans: A study in behavioral welfare economics
Keane, M., Ketcham, J., Kuminoff, N., et al. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2020.07.029
Anell, A., Dietrichson, J., Ellegård, L. M., et al. (2021) · Journal of Public Economics · doi:10.1016/j.jpubeco.2021.104390
Product Proliferation under Rational Inattention: Application to Health Insurance
Brown, Z. Y., & Jeon, J. (2021) · AEA Papers and Proceedings · doi:10.1257/pandp.20211082
Hickey, C., & Tharp, D. T. (2021) · Journal of Consumer Affairs · doi:10.1111/joca.12340
Inertia, Market Power, and Adverse Selection in Health Insurance: Evidence from the ACA Exchanges
Saltzman, E., Swanson, A., & Polsky, D. (2021) · doi:10.2139/ssrn.3897533
Buying control? ‘Locus of control’ and the uptake of supplementary health insurance
Bonsang, E., & Costa-Font, J. (2022) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2022.10.035
The Nature of Risk Preferences: Evidence from Insurance Choices
Barseghyan, L., Molinari, F., O'Donoghue, T., & Teitelbaum, J. C. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2149432
Plantier, M. (2022) · Revue économique · doi:10.3917/reco.735.0811
Vardell, E., & Wang, T. (2022) · Journal of Information Science · doi:10.1177/01655515221108686
How do Optimistic Individuals Affect Insurance Advertisements?
Fujii, Y., Ogaku, M., Okura, M., & Osaki, Y. (2020) · Asia-Pacific Journal of Risk and Insurance · doi:10.1515/apjri-2019-0039
Can transparency increase adverse selection? Evidence from an electronic platform for annuities
Fajnzylber, E., Gabrielli, M. F., & Willington, M. (2023) · Economics Letters · doi:10.1016/j.econlet.2023.111135
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- Stiglitz Joseph E., 1976, Quarterly Journal of Economics, 90, 630
Cited by
Sorted by citations
Adverse Selection and Inertia in Health Insurance Markets: When Nudging Hurts
Handel, B. R. (2013) · American Economic Review · doi:10.1257/aer.103.7.2643 · Cited by 707 · see citing works
Self-citationBrot-Goldberg, Z., Chandra, A., Handel, B., & Kolstad, J. (2017) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx013 · Cited by 418 · see citing works
Self-citationThe Nature of Risk Preferences: Evidence from Insurance Choices
Barseghyan, L., Molinari, F., O'Donoghue, T., & Teitelbaum, J. C. (2013) · American Economic Review · doi:10.1257/aer.103.6.2499 · Cited by 348 · see citing works
Regressive Sin Taxes, with an Application to the Optimal Soda Tax*
Allcott, H., Lockwood, B., & Taubinsky, D. (2019) · The Quarterly Journal of Economics · doi:10.1093/qje/qjz017 · Cited by 341 · see citing works
“(2015) and Handel and Kolstad (2015). The process is to use surveys to elicit proxies of bias, estimate the relationship between bias proxies and quantity consumed, use that relationship to predict the counterfactual quantity consumed if consumers instead maximized normative utility, and transform the quantity differe…”
MethodGabaix, X. (2018) · Handbook of behavioral economics · doi:10.1016/bs.hesbe.2018.11.001 · Cited by 415 · see citing works
Choose to Lose: Health Plan Choices from a Menu with Dominated Option*
Bhargava, S., Loewenstein, G. F., & Sydnor, J. (2017) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx011 · Cited by 296 · see citing works
Consumers’ misunderstanding of health insurance
Loewenstein, G. F., Friedman, J. Y., McGill, B., et al. (2013) · Journal of Health Economics · doi:10.1016/j.jhealeco.2013.04.004 · Cited by 267 · see citing works
Self-citationBehavioral Hazard in Health Insurance *
Baicker, K., Mullainathan, S., & Schwartzstein, J. (2015) · The Quarterly Journal of Economics · doi:10.1093/qje/qjv029 · Cited by 247 · see citing works
Should We Tax Sugar-Sweetened Beverages? An Overview of Theory and Evidence
Allcott, H., Lockwood, B., & Taubinsky, D. (2019) · The Journal of Economic Perspectives · doi:10.1257/jep.33.3.202 · Cited by 235 · see citing works
Upcoding: Evidence from Medicare on Squishy Risk Adjustment
Geruso, M., & Layton, T. (2019) · Journal of Political Economy · doi:10.1086/704756 · Cited by 251 · see citing works
“Handel and Kolstad (2015) show how such perfect information assumptions can be violated in health plan choice. upcoding 995 Generally, however, when the subsidy is endogenous to g and d, inefficiencies will arise.”
Pricing and Welfare in Health Plan Choice
Bundorf, M. K., Levin, J., & Mahoney, N. (2012) · American Economic Review · doi:10.1257/aer.102.7.3214 · Cited by 226 · see citing works
Time versus State in Insurance: Experimental Evidence from Contract Farming in Kenya
Casaburi, L., & Willis, J. (2018) · American Economic Review · doi:10.1257/aer.20171526 · Cited by 194 · see citing works
Do Pharmacists Buy Bayer? Informed Shoppers and the Brand Premium *
Bronnenberg, B. J., Dubé, J., Gentzkow, M. A., & Shapiro, J. M. (2015) · The Quarterly Journal of Economics · doi:10.1093/qje/qjv024 · Cited by 191 · see citing works
Consumer Inertia and Firm Pricing in the Medicare Part D Prescription Drug Insurance Exchange
Ericson, K. M. M. (2014) · American Economic Journal: Economic Policy · doi:10.1257/pol.6.1.38 · Cited by 183 · see citing works
Subsidizing Health Insurance for Low-Income Adults: Evidence from Massachusetts
Finkelstein, A. N., Hendren, N., & Shepard, M. (2019) · American Economic Review · doi:10.1257/aer.20171455 · Cited by 181 · see citing works
Frictions or Mental Gaps: What's Behind the Information We (Don't) Use and When Do We Care?
Handel, B., & Schwartzstein, J. (2018) · The Journal of Economic Perspectives · doi:10.1257/jep.32.1.155 · Cited by 178 · see citing works
Self-citationBehavioral Economics and Public Policy 102: Beyond Nudging
Bhargava, S., & Loewenstein, G. F. (2015) · American Economic Review · doi:10.1257/aer.p20151049 · Cited by 178 · see citing works
Sinking, Swimming, or Learning to Swim in Medicare Part D
Ketcham, J. D., Lucarelli, C., Miravete, E. J., & Roebuck, M. C. (2012) · American Economic Review · doi:10.1257/aer.102.6.2639 · Cited by 182 · see citing works
Bishop, K. C., Kuminoff, N. V., Banzhaf, H. S., et al. (2020) · Review of Environmental Economics and Policy · doi:10.1093/reep/reaa001 · Cited by 167 · see citing works
“…misinformed at the time of purchase even when it comes to high-stakes financial decisions such as choosing a college major (Wiswall and Zafar 2015), choosing a health insurance plan (Handel and Kolstad 2015), or developing a strategy to save money for retirement (Bernheim, Fradkin, and Popov 2015).”
BackgroundEstimating Risk Preferences in the Field
Barseghyan, L., Molinari, F., O’Donoghue, T., & Teitelbaum, J. C. (2018) · Journal of Economic Literature · doi:10.1257/jel.20161148 · Cited by 142 · see citing works
“Going forward, we envision more work emerging in this area, as more field data become available, and researchers are granted ways to design surveys that can reach (a subset of) subjects in the field data (e.g., as in Handel and Kolstad 2015).”
BackgroundPerfect Competition in Markets With Adverse Selection
Azevedo, E. M., & Gottlieb, D. (2017) · Econometrica · doi:10.3982/ecta13434 · Cited by 144 · see citing works
Rees-Jones, A., & Taubinsky, D. (2019) · The Review of Economic Studies · doi:10.1093/restud/rdz045 · Cited by 118 · see citing works
Patient administrative burden in the US health care system
Kyle, M. A., & Frakt, A. B. (2021) · Health Services Research · doi:10.1111/1475-6773.13861 · Cited by 123 · see citing works
How consumers respond to product certification and the value of energy information
Houde, S. (2018) · The RAND Journal of Economics · doi:10.1111/1756-2171.12231 · Cited by 110 · see citing works
Failing to Choose the Best Price: Theory, Evidence, and Policy
Grubb, M. D. (2015) · Review of Industrial Organization · doi:10.1007/s11151-015-9476-x · Cited by 106 · see citing works
Rational Inattention, Competitive Supply, and Psychometrics*
Caplin, A., Csaba, D., Leahy, J. V., & Nov, O. (2020) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaa011 · Cited by 107 · see citing works
Rationality of Choices in Subsidized Crop Insurance Markets
Du, X., Feng, H., & Hennessy, D. A. (2016) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaw035 · Cited by 108 · see citing works
“Handel and Kolstad (2015) show evidence that informational frictions can tilt a consumer toward a lower deductible comprehensive health insurance plan.”
Equilibrium Effects of Food Labeling Policies
Barahona, N., Otero, C., Otero, S., & Kim, J. (2020) · Econometrica · doi:10.3982/ecta19603 · Cited by 124 · see citing works
Imperfect Competition in Selection Markets
Mahoney, N., & Weyl, E. G. (2017) · The Review of Economics and Statistics · doi:10.1162/rest_a_00661 · Cited by 107 · see citing works
Are Consumers Poorly Informed about Fuel Economy? Evidence from Two Experiments
Allcott, H., & Knittel, C. R. (2019) · American Economic Journal Economic Policy · doi:10.1257/pol.20170019 · Cited by 100 · see citing works
Product Design in Selection Markets *
Veiga, A., & Weyl, E. G. (2016) · The Quarterly Journal of Economics · doi:10.1093/qje/qjw007 · Cited by 117 · see citing works
Default Effects And Follow-On Behaviour: Evidence From An Electricity Pricing Program
Fowlie, M., Wolfram, C., Baylis, P., Spurlock, C. A., Todd, A., & Cappers, P. A. (2021) · The Review of Economic Studies · doi:10.1093/restud/rdab018 · Cited by 88 · see citing works
Gabaix, X. (2017) · National Bureau of Economic Research · doi:10.3386/w24096 · Cited by 85 · see citing works
How Consumers Respond to Environmental Certification and the Value of Energy Information
Houde, S. (2014) · National Bureau of Economic Research · doi:10.3386/w20019 · Cited by 91 · see citing works
Inattention and Switching Costs as Sources of Inertia in Medicare Part D
Heiß, F., McFadden, D. L., Winter, J., Wuppermann, A., & Zhou, B. (2021) · American Economic Review · doi:10.1257/aer.20170471 · Cited by 90 · see citing works
Information Frictions and Adverse Selection: Policy Interventions in Health Insurance Markets
Handel, B., Kolstad, J., & Johannes Spinnewijn, Y. (2018) · The Review of Economics and Statistics · doi:10.1162/rest_a_00773 · Cited by 84 · see citing works
Self-citationEinav, L., Finkelstein, A. N., & Polyakova, M. (2018) · American Economic Journal Economic Policy · doi:10.1257/pol.20160355 · Cited by 87 · see citing works
Heterogeneity, Demand for Insurance, and Adverse Selection
Johannes Spinnewijn, Y. (2017) · American Economic Journal Economic Policy · doi:10.1257/pol.20140254 · Cited by 88 · see citing works
Bernheim, B. D., & Taubinsky, D. (2018) · National Bureau of Economic Research · doi:10.3386/w24828 · Cited by 106 · see citing works
Are High-Interest Loans Predatory? Theory and Evidence from Payday Lending
Allcott, H., Kim, J. J., Taubinsky, D., & Zinman, J. (2021) · The Review of Economic Studies · doi:10.1093/restud/rdab066 · Cited by 84 · see citing works
Prescription drug use under Medicare Part D: A linear model of nonlinear budget sets
Abaluck, J., Gruber, J., & Swanson, A. (2018) · Journal of Public Economics · doi:10.1016/j.jpubeco.2018.05.005 · Cited by 81 · see citing works
“(2013), Handel and Kolstad (2015). Incomplete translation of salient characteristics into prices has a substantial impact in the tax context in Feldman, Katuscak, and Kawano (2015).”
InfluentialEquilibrium Effects of Health Care Price Information
Brown, Z. Y. (2018) · The Review of Economics and Statistics · doi:10.1162/rest_a_00765 · Cited by 75 · see citing works
“However, there is evidence that some people may not know this information (Cunningham, Denk, & Sinclair, 2001; Handel & Kolstad, 2015). literature, I use website traffic logs to examine take-up.16 The website has price information for only a limited number of procedures, and individuals are…”
BackgroundBernheim, B., & Taubinsky, D. (2018) · Handbook of behavioral economics · doi:10.1016/bs.hesbe.2018.07.002 · Cited by 145 · see citing works
Polsky, D. E., Cidav, Z., & Swanson, A. (2016) · Health Affairs · doi:10.1377/hlthaff.2016.0693 · Cited by 72 · see citing works
Do Individuals Make Sensible Health Insurance Decisions? Evidence from a Menu with Dominated Options
Bhargava, S., Loewenstein, G. F., & Sydnor, J. (2015) · National Bureau of Economic Research · doi:10.3386/w21160 · Cited by 69 · see citing works
Domurat, R., Menashe, I., & Yin, W. (2019) · The American Economic Review · doi:10.1257/aer.20190823 · Cited by 60 · see citing works
Behavioral Consumers in Industrial Organization: An Overview
Grubb, M. D. (2015) · Review of Industrial Organization · doi:10.1007/s11151-015-9477-9 · Cited by 64 · see citing works
The Questionable Value of Having a Choice of Levels of Health Insurance Coverage
Ericson, K. M. M., & Sydnor, J. (2017) · The Journal of Economic Perspectives · doi:10.1257/jep.31.4.51 · Cited by 63 · see citing works
What do consumers consider before they choose? Identification from asymmetric demand responses
Abaluck, J., & Adams‐Prassl, A. (2017) · doi:10.1920/wp.ifs.2017.1709 · Cited by 61 · see citing works
Trends in Disenrollment and Reenrollment Within US Commercial Health Insurance Plans, 2006-2018
Fang, H., Frean, M., Sylwestrzak, G., & Ukert, B. D. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.0320 · Cited by 66 · see citing works
Structural Behavioral Economics
DellaVigna, S. (2018) · National Bureau of Economic Research · doi:10.3386/w24797 · Cited by 77 · see citing works
“In addition to inertia, Handel and Kolstad (2015) document that employees are remarkably poorly informed about features of different plans, and how, at least, in that setting, poor information largely explains what one could have (erroneously) estimated to be high risk aversion among employees.”
Dynamic Inconsistency in Food Choice: Experimental Evidence from Two Food Deserts
Sadoff, S., Samek, A., & Sprenger, C. D. (2019) · The Review of Economic Studies · doi:10.1093/restud/rdz030 · Cited by 39 · see citing works
Structural Behavioral Economics
DellaVigna, S. (2018) · Handbook of behavioral economics · doi:10.1016/bs.hesbe.2018.07.005 · Cited by 53 · see citing works
Measuring efficiency of health plan payment systems in managed competition health insurance markets
Layton, T., Ellis, R. P., McGuire, T. G., & van Kleef, R. C. (2017) · Journal of Health Economics · doi:10.1016/j.jhealeco.2017.05.004 · Cited by 56 · see citing works
Liquidity Constraints and the Value of Insurance
Ericson, K. M. M., & Sydnor, J. (2018) · National Bureau of Economic Research · doi:10.3386/w24993 · Cited by 57 · see citing works
“There is evidence that people are confused about insurance and that confusion contributes to this behavior (e.g., Johnson et al., 2013; Loewenstein et al., 2013; Handel and Kolstad, 2015; Bhargava et al., 2017).”
The Value of Unemployment Insurance
Landais, C., & Johannes Spinnewijn, Y. (2020) · The Review of Economic Studies · doi:10.1093/restud/rdaa086 · Cited by 11 · see citing works
Adaptation and Adverse Selection in Markets for Natural Disaster InsurancePreprint
Wagner, K. R. H. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3467329 · Cited by 53 · see citing works
Imperfect risk adjustment, risk preferences, and sorting in competitive health insurance markets
Layton, T. (2017) · Journal of Health Economics · doi:10.1016/j.jhealeco.2017.04.004 · Cited by 50 · see citing works
Long-Term Care Insurance: Information Frictions and Selection
Boyer, M. M., Donder, P. D., Fluet, C., Leroux, M., & Michaud, P. (2017) · American Economic Journal Economic Policy · doi:10.1257/pol.20180227 · Cited by 53 · see citing works
Gottlieb, D., & Smetters, K. (2021) · American Economic Review · doi:10.1257/aer.20160868 · Cited by 61 · see citing works
Are Consumers Poorly Informed about Fuel Economy? Evidence from Two Experiments
Allcott, H., & Knittel, C. R. (2017) · National Bureau of Economic Research · doi:10.3386/w23076 · Cited by 50 · see citing works
Is there a demand for flood insurance in Vietnam? Results from a choice experiment
Reynaud, A., Nguyen, M., & Aubert, C. (2017) · Environmental Economics and Policy Studies · doi:10.1007/s10018-017-0207-4 · Cited by 49 · see citing works
Rules of Thumb and Attention Elasticities: Evidence from Under- and Overreaction to Taxes
Morrison, W. G., & Taubinsky, D. (2019) · National Bureau of Economic Research · doi:10.3386/w26180 · Cited by 46 · see citing works
A Denial a Day Keeps the Doctor Away
Dunn, A. C., Gottlieb, J. D., Shapiro, A. H., Sonnenstuhl, D., & Tebaldi, P. (2023) · The Quarterly Journal of Economics · doi:10.1093/qje/qjad035 · Cited by 47 · see citing works
The Social Determinants of Choice Quality: Evidence from Health Insurance in the Netherlands
Handel, B., Kolstad, J., Minten, T., & Johannes Spinnewijn, Y. (2020) · National Bureau of Economic Research · doi:10.3386/w27785 · Cited by 45 · see citing works
Self-citationToward an experimental therapeutics approach in human services research
Raghavan, R., Munson, M. R., & Le, C. (2019) · Psychiatric Services · doi:10.1176/appi.ps.201800577 · Cited by 43 · see citing works
Behavioral economics and health-care markets
Chandra, A., Handel, B., & Schwartzstein, J. (2018) · Handbook of behavioral economics · doi:10.1016/bs.hesbe.2018.11.004 · Cited by 48 · see citing works
Self-citationBargaining in Markets with Exclusion: An Analysis of Health Insurance Networks
Liebman, E. B. (2018) · 7th Annual Conference of the American Society of Health Economists · Cited by 44 · see citing works
DeLeire, T., Chappel, A. R., Finegold, K., & Gee, E. (2017) · Journal of Health Economics · doi:10.1016/j.jhealeco.2017.09.008 · Cited by 42 · see citing works
When Should There Be Vertical Choice in Health Insurance Markets?
Marone, V., & Sabety, A. H. (2021) · American Economic Review · doi:10.1257/aer.20201073 · Cited by 42 · see citing works
The effect of narrow provider networks on health care use
Atwood, A., & Sasso, A. T. L. (2016) · Journal of Health Economics · doi:10.1016/j.jhealeco.2016.09.007 · Cited by 42 · see citing works
“The narrow network can be “grafted” to an insurance policy with virtually any other combination of plan characteristics, though as we show below the narrow network tends to be used in conjunction with systematically less generous plan features.”
BackgroundResultEndogenous Information and Simplifying Insurance Choice
Brown, Z. Y., & Jeon, J. (2024) · Econometrica · doi:10.3982/ecta18555 · Cited by 41 · see citing works
Predicting insurance demand from risk attitudes
Jaspersen, J. G., Ragin, M. A., & Sydnor, J. (2021) · Journal of Risk & Insurance · doi:10.1111/jori.12342 · Cited by 44 · see citing works
Advancing Community Science Literacy
Spitzer, W. J., & Fraser, J. (2020) · Journal of Museum Education · doi:10.1080/10598650.2020.1720403 · Cited by 41 · see citing works
Cognitive decline and household financial decisions at older ages
Angrisani, M., & Lee, J. (2018) · The Journal of the Economics of Ageing · doi:10.1016/j.jeoa.2018.03.003 · Cited by 42 · see citing works
Experimental Evidence on the Effectiveness of Non-Experts for Improving Vaccine Demand
Alsan, M. M., & Eichmeyer, S. (2021) · National Bureau of Economic Research · doi:10.3386/w28593 · Cited by 36 · see citing works
Park, S., Langellier, B. A., & Meyers, D. J. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.46792 · Cited by 38 · see citing works
Rules of Thumb and Attention Elasticities: Evidence from Under- and Overreaction to Taxes
Morrison, W. G., & Taubinsky, D. (2021) · The Review of Economics and Statistics · doi:10.1162/rest_a_01126 · Cited by 36 · see citing works
“…(e.g., Allcott & Taubinsky, 2015), shipping and handling charges (Hossain & Morgan, 2006), various features of health insurance contracts (e.g., Handel & Kolstad, 2015; Bhargava et al., 2017), less significant digits (Lacetera et al., 2012), shrouded financial fees (Heidhues et al., 2017),…”
Wang, Q., & Yan, W. (2022) · British Journal of Management · doi:10.1111/1467-8551.12649 · Cited by 38 · see citing works
When Less is More: Improving Choices in Health Insurance Markets
Abaluck, J., & Gruber, J. (2023) · The Review of Economic Studies · doi:10.1093/restud/rdac050 · Cited by 36 · see citing works
Managing Intelligence: Skilled Experts and AI in Markets for Complex Products
B, J. G. A., Handel, B., Kina, S., & Kolstad, J. (2020) · National Bureau of Economic Research · doi:10.3386/w27038 · Cited by 35 · see citing works
Self-citationMatch or Mismatch? Learning and Inertia in School ChoicePreprint
Narita, Y. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3198417 · Cited by 34 · see citing works
Default Effects and Follow-On Behavior: Evidence from an Electricity Pricing Program
Fowlie, M., Wolfram, C., Spurlock, C. A., Todd, A., Baylis, P., & Cappers, P. A. (2017) · National Bureau of Economic Research · doi:10.3386/w23553 · Cited by 36 · see citing works
When Discounts Raise Costs: The Effect of Copay Coupons on Generic Utilization
Dafny, L., Ody, C. J., & Schmitt, M. (2017) · American Economic Journal Economic Policy · doi:10.1257/pol.20150588 · Cited by 37 · see citing works
Are High-Interest Loans Predatory? Theory and Evidence from Payday Lending
Allcott, H., Kim, J. J., Taubinsky, D., & Zinman, J. (2021) · National Bureau of Economic Research · doi:10.3386/w28799 · Cited by 35 · see citing works
C ONSUMER ‐D IRECTED H EALTH P LANS : A R EVIEW OF THE E VIDENCE
Bundorf, M. K. (2016) · Journal of Risk & Insurance · doi:10.1111/jori.12141 · Cited by 34 · see citing works
Adverse Selection in ACA Exchange Markets: Evidence from Colorado
Panhans, M. T. (2017) · American Economic Journal Applied Economics · doi:10.1257/app.20170117 · Cited by 45 · see citing works
What health plans do people prefer? The trade-off between premium and provider choice
Determann, D., Lambooij, M., de Bekker-Grob, E. W., Hayen, A. P., Varkevisser, M., Schut, E., & de Wit, G. A. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.07.022 · Cited by 34 · see citing works
The Behavioral Foundations of Default Effects: Theory and Evidence from Medicare Part D
Brot-Goldberg, Z., Layton, T., Vabson, B., & Wang, A. Y. (2023) · American Economic Review · doi:10.1257/aer.20210013 · Cited by 32 · see citing works
Experimental Evidence on the Effectiveness of Nonexperts for Improving Vaccine Demand
Alsan, M. M., & Eichmeyer, S. (2024) · American Economic Journal Economic Policy · doi:10.1257/pol.20210393 · Cited by 32 · see citing works
“…also relate to growing scholarship on misperceptions in the net benefits of preventive care (i.e. behavioral hazard) leading to underutilization (Handel and Kolstad 2015; Bhargava, Loewenstein and Benartzi 2017; Ericson and Sydnor 2017; Brot-Goldberg 1The seasonal influenza vaccine alone averts…”
BackgroundWerbeck, A., Wübker, A., & Ziebarth, N. R. (2021) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2021.05.028 · Cited by 29 · see citing works
Regressive Sin Taxes, With an Application to the Optimal Soda Tax
Allcott, H., Lockwood, B., & Taubinsky, D. (2019) · National Bureau of Economic Research · doi:10.3386/w25841 · Cited by 29 · see citing works
What Do Consumers Consider Before They Choose? Identification from Asymmetric Demand Responses
Abaluck, J., & Adams‐Prassl, A. (2017) · National Bureau of Economic Research · doi:10.3386/w23566 · Cited by 29 · see citing works
Sources of inertia in the individual health insurance market
Drake, C., Ryan, C., & Dowd, B. E. (2022) · Journal of Public Economics · doi:10.1016/j.jpubeco.2022.104622 · Cited by 28 · see citing works
The Two-Margin Problem in Insurance Markets
Geruso, M., Layton, T., McCormack, G., & Shepard, M. (2021) · The Review of Economics and Statistics · doi:10.1162/rest_a_01070 · Cited by 27 · see citing works
A Denial a Day Keeps the Doctor Away
Dunn, A. C., Gottlieb, J. D., Shapiro, A. H., Sonnenstuhl, D., & Tebaldi, P. (2021) · National Bureau of Economic Research · doi:10.3386/w29010 · Cited by 28 · see citing works
Are consumers attentive to local energy costs? Evidence from the appliance market
Houde, S., & Myers, E. C. (2021) · Journal of Public Economics · doi:10.1016/j.jpubeco.2021.104480 · Cited by 26 · see citing works
“…make systematic mistakes in their choices for a wide range of products, such as health care plans (Abaluck and Gruber 2011; Kling et al. 2012; Handel and Kolstad 2015), mutual funds (Barber et al. 2005), schools (Jensen 2010), and which foods to consume (Bollinger et al. 2011), among many…”
The Effect of Health Insurance on the Substitution between Public and Private Hospital Care
Doiron, D., & Kettlewell, N. (2018) · Economic Record · doi:10.1111/1475-4932.12394 · Cited by 27 · see citing works
Myerson, R. M., Tilipman, N., Feher, A., et al. (2022) · Health Affairs · doi:10.1377/hlthaff.2021.01000 · Cited by 26 · see citing works
Kautish, P., Khare, A., & Sharma, R. (2022) · Journal of Marketing Analytics · doi:10.1057/s41270-021-00134-7 · Cited by 25 · see citing works
- Authors
- Handel, B. R., & Kolstad, J. T.
- Affiliations
- University of California, Berkeley (US)
- ORCID
- Kolstad, Jonathan T.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2015-08-01
- Volume
- 105
- Issue
- 8
- Pages
- 2449-2500
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2118208023
- Semantic Scholar
- e5ac08690cbc4c68e718cd2b1691c9b3995cf0be
- Cited by
- 427
- References
- 51
- Citations by year
- 2026: 28 · 2025: 24 · 2024: 35 · 2023: 55 · 2022: 40 · 2021: 48 · 2020: 34 · 2019: 41 · 2018: 40 · 2017: 36 · 2016: 16 · 2015: 16 · 2014: 4 · 2013: 7 · 2012: 3
- FWCI
- 87.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Economic Review (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- University of Pennsylvania
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Keywords
- health insurance choice, information frictions, risk preferences, consumer welfare, hassle costs, administrative claims data
- MeSH terms
- Choice Behavior, Consumer Behavior, Deductibles and Coinsurance, Health Benefit Plans, Employee, Humans, Insurance, Health, Models, Theoretical, Preferred Provider Organizations, United States, Medical Savings Accounts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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