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Can time-inconsistent preferences explain hypothetical biases?

Author

Listed:
  • Ondřej Krčál

    (Masaryk University)

  • Stefanie Peer

    (Vienna University of Economics and Business)

  • Rostislav Staněk

    (Masaryk University)

Abstract

We investigate whether the value of time (VOT) depends on when the corresponding preferences are measured: in advance, just before, or after the time period for which the time preferences are being evaluated. We find that the VOT is highest when elicited just before the time period. This is an indication of the VOT being affected by time-inconsistent, and more specifically, present-biased preferences. We argue that this result may explain why time valuations based on stated preference (SP) data are typically found to be lower than those based on revealed preference (RP) data: most RP surveys evaluate the preferences of respondents close to the time period for which the preferences are being measured, whereas the time instances for which preferences are evaluated in SP surveys tend to be more abstract, or referencing past or future time periods.

Suggested Citation

  • Ondřej Krčál & Stefanie Peer & Rostislav Staněk, 2021. "Can time-inconsistent preferences explain hypothetical biases?," MUNI ECON Working Papers 2021-01, Masaryk University, revised Feb 2023.
  • Handle: RePEc:mub:wpaper:2021-01
    DOI: 10.5817/WP_MUNI_ECON_2021-01
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    1. Ghosh, Arindam, 2001. "Valuing Time and Reliability: Commuters' Mode Choice from a Real Time Congestion Pricing Experiment," University of California Transportation Center, Working Papers qt9fz0z9kq, University of California Transportation Center.
    2. Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," NBER Working Papers 28208, National Bureau of Economic Research, Inc.
    3. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    4. Richard Batley & John Bates & Michiel Bliemer & Maria Börjesson & Jeremy Bourdon & Manuel Ojeda Cabral & Phani Kumar Chintakayala & Charisma Choudhury & Andrew Daly & Thijs Dekker & Efie Drivyla & Ton, 2019. "New appraisal values of travel time saving and reliability in Great Britain," Transportation, Springer, vol. 46(3), pages 583-621, June.
    5. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    6. Felix Koelle & Lukas Wenner, 2018. "Present-Biased Generosity: Time Inconsistency across Individual and Social Contexts," Discussion Papers 2018-02, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    7. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    8. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    9. Ned Augenblick & Muriel Niederle & Charles Sprenger, 2015. "Editor's Choice Working over Time: Dynamic Inconsistency in Real Effort Tasks," The Quarterly Journal of Economics, Oxford University Press, vol. 130(3), pages 1067-1115.
    10. Uttara Balakrishnan & Johannes Haushofer & Pamela Jakiela, 2020. "How soon is now? Evidence of present bias from convex time budget experiments," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 294-321, June.
    11. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    12. Brownstone, David & Small, Kenneth A., 2005. "Valuing time and reliability: assessing the evidence from road pricing demonstrations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 279-293, May.
    13. Carmit Segal, 2012. "Working When No One Is Watching: Motivation, Test Scores, and Economic Success," Management Science, INFORMS, vol. 58(8), pages 1438-1457, August.
    14. 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.
    15. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    16. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    17. Zachary Breig & Matthew Gibson & Jeffrey Shrader, 2019. "Why Do We Procrastinate? Present Bias and Optimism," Department of Economics Working Papers 2019-15, Department of Economics, Williams College.
    18. Kouwenhoven, Marco & de Jong, Gerard C. & Koster, Paul & van den Berg, Vincent A.C. & Verhoef, Erik T. & Bates, John & Warffemius, Pim M.J., 2014. "New values of time and reliability in passenger transport in The Netherlands," Research in Transportation Economics, Elsevier, vol. 47(C), pages 37-49.
    19. Maurice Doyon & Stéphane Bergeron, 2016. "Understanding Strategic Behavior and Its Contribution to Hypothetical Bias When Eliciting Values for a Private Good," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(4), pages 653-666, December.
    20. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability," Econometrica, Econometric Society, vol. 73(4), pages 1367-1382, July.
    21. Isacsson, Gunnar, 2007. "The trade off between time and money: Is there a difference between real and hypothetical choices?," Working Papers 2007:3, Swedish National Road & Transport Research Institute (VTI).
    22. Peer, Stefanie & Börjesson, Maria, 2018. "Temporal framing of stated preference experiments: does it affect valuations?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 319-333.
    23. Jayson Lusk & Leatta McLaughlin & Sara Jaeger, 2007. "Strategy and response to purchase intention questions," Marketing Letters, Springer, vol. 18(1), pages 31-44, June.
    24. Peer, Stefanie & Knockaert, Jasper & Koster, Paul & Verhoef, Erik T., 2014. "Over-reporting vs. overreacting: Commuters’ perceptions of travel times," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 476-494.
    25. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav & Karlínová, Bára, 2019. "Real consequences matter: Why hypothetical biases in the valuation of time persist even in controlled lab experiments," Economics of Transportation, Elsevier, vol. 20(C).
    26. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    27. Fischer, Carolyn, 2001. "Read this paper later: procrastination with time-consistent preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 46(3), pages 249-269, November.
    28. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    29. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," Review of Economic Studies, Oxford University Press, vol. 23(3), pages 165-180.
    30. Faruk Gul & Wolfgang Pesendorfer, 2001. "Temptation and Self-Control," Econometrica, Econometric Society, vol. 69(6), pages 1403-1435, November.
    31. Leandro S. Carvalho & Stephan Meier & Stephanie W. Wang, 2016. "Poverty and Economic Decision-Making: Evidence from Changes in Financial Resources at Payday," American Economic Review, American Economic Association, vol. 106(2), pages 260-284, February.
    32. James Murphy & Thomas Stevens & Darryl Weatherhead, 2005. "Is Cheap Talk Effective at Eliminating Hypothetical Bias in a Provision Point Mechanism?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 327-343, March.
    33. Loomis, John B., 2014. "2013 WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-13, April.
    34. David Hensher, 2001. "The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications," Transportation, Springer, vol. 28(2), pages 101-118, May.
    35. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    36. Lars Hultkrantz & Selen Savsin, 2018. "Is ‘referencing’ a remedy to hypothetical bias in value of time elicitation? Evidence from economic experiments," Transportation, Springer, vol. 45(6), pages 1827-1847, November.
    37. Ted O'Donoghue & Matthew Rabin, 2015. "Present Bias: Lessons Learned and to Be Learned," American Economic Review, American Economic Association, vol. 105(5), pages 273-279, May.
    38. Hsiao, Yu-Chin & Kemp, Simon & Servátka, Maroš & Ward, Matt & Zhang, Le, 2021. "Time Costs and Search Behavior," MPRA Paper 105412, University Library of Munich, Germany.
    39. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    40. John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, April.
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    More about this item

    Keywords

    valuation of time; time inconsistency; present bias; hypothetical bias; lab experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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