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Measuring Time Preferences

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  • Jonathan Cohen
  • Keith Marzilli Ericson
  • David Laibson
  • John Myles White

Abstract

We review research that measures time preferences—i.e., preferences over intertemporal trade-offs. We distinguish between studies using financial flows, which we call "money earlier or later" (MEL) decisions, and studies that use time-dated consumption/effort. Under different structural models, we show how to translate what MEL experiments directly measure (required rates of return for financial flows) into a discount function over utils. We summarize empirical regularities found in MEL studies and the predictive power of those studies. We explain why MEL choices are driven in part by some factors that are distinct from underlying time preferences.

Suggested Citation

  • Jonathan Cohen & Keith Marzilli Ericson & David Laibson & John Myles White, 2020. "Measuring Time Preferences," Journal of Economic Literature, American Economic Association, vol. 58(2), pages 299-347, June.
  • Handle: RePEc:aea:jeclit:v:58:y:2020:i:2:p:299-347
    DOI: 10.1257/jel.20191074
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    1. Gretchen B. Chapman & Arthur S. Elstein, 1995. "Valuing the Future," Medical Decision Making, , vol. 15(4), pages 373-386, October.
    2. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    3. Bassem Ben Halima & Mohamed Ali Ben Halima, 2009. "Time Preferences and Job Search: Evidence from France," LABOUR, CEIS, vol. 23(3), pages 535-558, September.
    4. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
    5. Badger, Gary J. & Bickel, Warren K. & Giordano, Louis A. & Jacobs, Eric A. & Loewenstein, George & Marsch, Lisa, 2007. "Altered states: The impact of immediate craving on the valuation of current and future opioids," Journal of Health Economics, Elsevier, vol. 26(5), pages 865-876, September.
    6. Bisin, Alberto & Hyndman, Kyle, 2020. "Present-bias, procrastination and deadlines in a field experiment," Games and Economic Behavior, Elsevier, vol. 119(C), pages 339-357.
    7. Anke Becker & Thomas Deckers & Thomas Dohmen & Armin Falk & Fabian Kosse, 2012. "The Relationship Between Economic Preferences and Psychological Personality Measures," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 453-478, July.
    8. Falk, A. & Becker, A. & Dohmen, T.J. & Enke, B. & Huffman, D. & Sunde, U., 2015. "The nature and predictive power of preferences: Global evidence," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Camerer, Colin F & Hogarth, Robin M, 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
    10. Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2013. "Are Consumers Myopic? Evidence from New and Used Car Purchases," American Economic Review, American Economic Association, vol. 103(1), pages 220-256, February.
    11. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    12. Burks, Stephen & Carpenter, Jeffrey & Götte, Lorenz & Rustichini, Aldo, 2012. "Which measures of time preference best predict outcomes: Evidence from a large-scale field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 308-320.
    13. Dreyfus, Mark K & Viscusi, W Kip, 1995. "Rates of Time Preference and Consumer Valuations of Automobile Safety and Fuel Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 38(1), pages 79-105, April.
    14. Andreoni, James & Kuhn, Michael A. & Sprenger, Charles, 2015. "Measuring time preferences: A comparison of experimental methods," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 451-464.
    15. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    16. Stephen L. Cheung, 2015. "Risk Preferences Are Not Time Preferences: On the Elicitation of Time Preference under Conditions of Risk: Comment," American Economic Review, American Economic Association, vol. 105(7), pages 2242-2260, July.
    17. Broda, Christian & Parker, Jonathan A., 2014. "The Economic Stimulus Payments of 2008 and the aggregate demand for consumption," Journal of Monetary Economics, Elsevier, vol. 68(S), pages 20-36.
    18. Orazio P. Attanasio & Guglielmo Weber, 2010. "Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy," Journal of Economic Literature, American Economic Association, vol. 48(3), pages 693-751, September.
    19. Lisa Anderson & Sarah Stafford, 2009. "Individual decision-making experiments with risk and intertemporal choice," Journal of Risk and Uncertainty, Springer, vol. 38(1), pages 51-72, February.
    20. Ned Augenblick & Muriel Niederle & Charles Sprenger, 2015. "Editor's Choice Working over Time: Dynamic Inconsistency in Real Effort Tasks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1067-1115.
    21. ., 2005. "Conclusion: Adam Smith on Market and State," Chapters, in: Democracy and Exchange, chapter 12, Edward Elgar Publishing.
    22. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    23. Daniel J. Benjamin & Sebastian A. Brown & Jesse M. Shapiro, 2013. "Who Is ‘Behavioral’? Cognitive Ability And Anomalous Preferences," Journal of the European Economic Association, European Economic Association, vol. 11(6), pages 1231-1255, December.
    24. Uri Benzion & Amnon Rapoport & Joseph Yagil, 1989. "Discount Rates Inferred from Decisions: An Experimental Study," Management Science, INFORMS, vol. 35(3), pages 270-284, March.
    25. Anke Becker & Thomas Deckers & Thomas Dohmen & Armin Falk & Fabian Kosse, 2012. "The Relationship Between Economic Preferences and Psychological Personality Measures," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 453-478, July.
    26. Nava Ashraf & Dean Karlan & Wesley Yin, 2006. "Tying Odysseus to the Mast: Evidence From a Commitment Savings Product in the Philippines," The Quarterly Journal of Economics, Oxford University Press, vol. 121(2), pages 635-672.
    27. Andrew Caplin & John Leahy, 2004. "The Social Discount Rate," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1257-1268, December.
    28. Bettinger, Eric & Slonim, Robert, 2007. "Patience among children," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 343-363, February.
    29. Stefano DellaVigna & M. Daniele Paserman, 2005. "Job Search and Impatience," Journal of Labor Economics, University of Chicago Press, vol. 23(3), pages 527-588, July.
    30. Nava Ashraf & Colin F. Camerer & George Loewenstein, 2005. "Adam Smith, Behavioral Economist," Journal of Economic Perspectives, American Economic Association, vol. 19(3), pages 131-145, Summer.
    31. Michal Bauer & Julie Chytilova & Jonathan Morduch, 2012. "Behavioral Foundations of Microcredit: Experimental and Survey Evidence from Rural India," American Economic Review, American Economic Association, vol. 102(2), pages 1118-1139, April.
    32. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, E. Elisabet, 2010. "Preference heterogeneity in experiments: Comparing the field and laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 73(2), pages 209-224, February.
    33. Brian C. Cadena & Benjamin J. Keys, 2015. "Human Capital and the Lifetime Costs of Impatience," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 126-153, August.
    34. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
    35. Mohammed Abdellaoui & ArthurE. Attema & Han Bleichrodt, 2010. "Intertemporal Tradeoffs for Gains and Losses: An Experimental Measurement of Discounted Utility," Economic Journal, Royal Economic Society, vol. 120(545), pages 845-866, June.
    36. Jane E. J. Ebert & Drazen Prelec, 2007. "The Fragility of Time: Time-Insensitivity and Valuation of the Near and Far Future," Management Science, INFORMS, vol. 53(9), pages 1423-1438, September.
    37. Kirstin Appelt & David Hardisty & Elke Weber, 2011. "Asymmetric discounting of gains and losses: A query theory account," Journal of Risk and Uncertainty, Springer, vol. 43(2), pages 107-126, October.
    38. Thomas Epper & Helga Fehr-Duda & Adrian Bruhin, 2011. "Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 169-203, December.
    39. repec:ran:wpaper:895 is not listed on IDEAS
    40. Castillo, Marco & Ferraro, Paul J. & Jordan, Jeffrey L. & Petrie, Ragan, 2011. "The today and tomorrow of kids: Time preferences and educational outcomes of children," Journal of Public Economics, Elsevier, vol. 95(11), pages 1377-1385.
    41. Thomas Epper & Helga Fehr-Duda, 2015. "Risk Preferences Are Not Time Preferences: Balancing on a Budget Line: Comment," American Economic Review, American Economic Association, vol. 105(7), pages 2261-2271, July.
    42. Timothy N. Cason & Charles R. Plott, 2014. "Misconceptions and Game Form Recognition: Challenges to Theories of Revealed Preference and Framing," Journal of Political Economy, University of Chicago Press, vol. 122(6), pages 1235-1270.
    43. Keith Marzilli Ericson & Jawwad Noor, 2015. "Delay Functions as the Foundation of Time Preference: Testing for Separable Discounted Utility," NBER Working Papers 21095, National Bureau of Economic Research, Inc.
    44. Guido Baltussen & G. Post & Martijn Assem & Peter Wakker, 2012. "Random incentive systems in a dynamic choice experiment," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 418-443, September.
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    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving

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