The Economic Consequences of Hospital Admissions
Open accessAbstract
We use an event study approach to examine the economic consequences of hospital admissions for adults in two datasets: survey data from the Health and Retirement Study, and hospitalization data linked to credit reports. For non-elderly adults with health insurance, hospital admissions increase out-of-pocket medical spending, unpaid medical bills, and bankruptcy, and reduce earnings, income, access to credit, and consumer borrowing. The earnings decline is substantial compared to the out-of-pocket spending increase, and is minimally insured prior to age-eligibility for Social Security Retirement Income. Relative to the insured non-elderly, the uninsured non-elderly experience much larger increases in unpaid medical bills and bankruptcy rates following a hospital admission. Hospital admissions trigger fewer than 5 percent of all bankruptcies in our sample. (JEL D14, G22, I11, I13)
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Empirical researchers commonly adjust for the extrapolation of a linear trend from the pre-treatment periods when there are concerns about violations of the parallel trends assumption, which is valid if the difference in trends is exactly linear.
“Empirical researchers commonly adjust for the extrapolation of a linear trend from the pre-treatment periods when there are concerns about violations of the parallel trends assumption, which is valid if the difference in trends is exactly linear (e.g.Bhuller et al., 2013;Dobkin et al., 2018;Goodman-Bacon, 2018, 2021).”
From A More Credible Approach to Parallel Trends (2023) · cites this paper as Dobkin et al., 2018
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Experimental — accuracy not yet measuredIn settings where researchers are worried about confounding from secular trends that they suspect evolve smoothly over time, it is common for empirical researchers to control for a linear group-specific time trend.
“In such settings, it is common for empirical researchers to control for a linear group-specific time trend.”
From A More Credible Approach to Parallel Trends (2023) · cites this paper as Dobkin et al., 2018
Section 2.2 says the authors include a linear trend in event time because their non-parametric results suggest it captures secular trends in outcomes. It supports an example of this approach, but does not say that linear group-specific time trends are common among empirical researchers. (LLM, conf=0.82)
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- Authors
- Dobkin, C., Finkelstein, A., Kluender, R., & Notowidigdo, M. J.
- Affiliations
- University of California, Santa Cruz (US)
- Northwestern University (US)
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2018-02-01
- Volume
- 108
- Issue
- 2
- Pages
- 308-352
- ISSN
- 0002-8282 (ISSN-L)
- PMC
- PMC5809140
- OpenAlex
- W2412862172
- Cited by
- 555
- References
- 45
- Citations by year
- 2026: 59 · 2025: 101 · 2024: 102 · 2023: 76 · 2022: 73 · 2021: 48 · 2020: 36 · 2019: 37 · 2018: 18 · 2017: 3 · 2015: 1
- FWCI
- 52.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Economic Review (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation (1122374)
- National Institute on Aging (R01AG032449, P01AG005842, R37AG032449)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Financial Impacts of Cancer
- Keywords
- hospitalization, unpaid medical bills, bankruptcy, earnings, income, access to credit, consumer borrowing, health insurance, uninsured adults, non-elderly adults
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