A Model of Reference-Dependent Preferences
Open accessAbstract
We develop a model of reference-dependent preferences and loss aversion where “gain-loss utility” is derived from standard “consumption utility” and the reference point is determined endogenously by the economic environment. We assume that a person's reference point is her rational expectations held in the recent past about outcomes, which are determined in a personal equilibrium by the requirement that they must be consistent with optimal behavior given expectations. In deterministic environments, choices maximize consumption utility, but gain-loss utility influences behavior when there is uncertainty. Applying the model to consumer behavior, we show that willingness to pay for a good is increasing in the expected probability of purchase and in the expected prices conditional on purchase. In within-day labor-supply decisions, a worker is less likely to continue work if income earned thus far is unexpectedly high, but more likely to show up as well as continue work if expected income is high.
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The 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).”
From Health Insurance for “Humans”: Information Frictions, Plan Choice, and Consumer Welfare (2015) · cites this paper as Kőszegi and Rabin 2006
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524 · see citing works
Golden eggs and hyperbolic discounting
Laibson, D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555253 · Cited by 6,122 · see citing works
Status quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897 · see citing works
A perspective on judgment and choice: mapping bounded rationality.
Kahneman, D. (2003) · American Psychologist · doi:10.1037/0003-066x.58.9.697 · Cited by 5,540 · see citing works
Does Market Experience Eliminate Market Anomalies?
List, J. A. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360535144 · Cited by 1,183 · see citing works
Myles, G. D. (1993) · European Journal of Political Economy · doi:10.1016/0176-2680(93)90012-j · Cited by 875 · see citing works
Rational choice with status quo bias
Masatlioglu, Y., & Ok, E. A. (2005) · Journal of Economic Theory · doi:10.1016/j.jet.2004.03.007 · Cited by 343 · see citing works
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The Neurobiology of Decision: Consensus and Controversy
Kable, J. W., & Glimcher, P. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.003 · Cited by 928 · see citing works
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Handel, B. R., & Kolstad, J. T. (2015) · American Economic Review · doi:10.1257/aer.20131126 · Cited by 427 · see citing works
Sydnor, J. (2010) · American Economic Journal: Applied Economics · doi:10.1257/app.2.4.177 · Cited by 389 · see citing works
Lim, S.-L., O'Doherty, J. P., & Rangel, A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1246-11.2011 · Cited by 329 · see citing works
The effect of cognitive load on economic decision making: A survey and new experiments
Deck, C., & Jahedi, S. (2015) · European Economic Review · doi:10.1016/j.euroecorev.2015.05.004 · Cited by 304 · see citing works
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The Malleability of Intertemporal Choice
Lempert, K. M., & Phelps, E. A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.09.005 · Cited by 207 · see citing works
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Stauffer, W. R., Lak, A., & Schultz, W. (2014) · Current Biology · doi:10.1016/j.cub.2014.08.064 · Cited by 204 · see citing works
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De Martino, B., Kumaran, D., Holt, B., & Dolan, R. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4832-08.2009 · Cited by 174 · see citing works
Chib, V. S., De Martino, B., Shimojo, S., & O'Doherty, J. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.038 · Cited by 130 · see citing works
Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show
Post, T., van den Assem, M. J., Baltussen, G., & Thaler, R. H. (2008) · American Economic Review · doi:10.1257/aer.98.1.38 · Cited by 110 · see citing works
Personalized pricing and price fairness
Richards, T. J., Liaukonyte, J., & Streletskaya, N. A. (2016) · International Journal of Industrial Organization · doi:10.1016/j.ijindorg.2015.11.004 · Cited by 99 · see citing works
Satisficing: Integrating Two Traditions
Artinger, F. M., Gigerenzer, G., & Jacobs, P. (2022) · Journal of Economic Literature · doi:10.1257/jel.20201396 · Cited by 90 · see citing works
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Levi, R., Singhvi, S., & Zheng, Y. (2022) · Manufacturing & Service Operations Management · doi:10.1287/msom.2021.1010 · Cited by 40 · see citing works
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Fehr, D., Fink, G., & Jack, K. (2019) · doi:10.3386/w26357 · Cited by 40 · see citing works
Kikuta, K., & Uesugi, M. (2023) · International Organization · doi:10.1017/s0020818322000261 · Cited by 17 · see citing works
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Burke, C. J., Dreher, J.-C., Seymour, B., & Tobler, P. N. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00193 · Cited by 4 · see citing works
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- Authors
- Koszegi, B., & Rabin, M.
- Affiliations
- University of California, Berkeley (US)
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11-01
- Volume
- 121
- Issue
- 4
- Pages
- 1133-1165
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W1501279792
- Cited by
- 2,728
- References
- 7
- Citations by year
- 2026: 39 · 2025: 134 · 2024: 180 · 2023: 147 · 2022: 174 · 2021: 162 · 2020: 147 · 2019: 201 · 2018: 191 · 2017: 192 · 2016: 170 · 2015: 176 · 2014: 153 · 2013: 131 · 2012: 117
- FWCI
- 40.12
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Locations
- The Quarterly Journal of Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Keywords
- reference-dependent preferences, loss aversion, endogenous reference points, rational expectations, consumer behavior, willingness to pay, purchase probability, labor supply, income risk, expected income
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