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The trade off between time and money: Is there a difference between real and hypothetical choices?

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  • Isacsson, Gunnar

    (VTI)

Abstract

This paper reports the results from one experiment and one quasi-experiment used to investigate the potential problem of “hypothetical bias” in surveys involving an individual’s valuation of time. The experiment compares hypothetical and real choices regarding an offer to participate in a survey in exchange for money. The quasi-experiment compares hypothetical and real choices regarding two bus journeys, one fast and expensive and the other slow and cheap. In both of these experiments, real choices differ significantly from hypothetical ones. The paper estimates parametric distributions of the value of time by applying the general method of moments (GMM) estimator. Since the samples are relatively small a parametric bootstrap is used to obtain asymptotic refinement of statistical tests. The results in the experiment as well as in the quasi-experiment suggest a value of time which is higher when the choice is for real than when the choice is hypothetical. Assuming that the value of time distribution is exponential, real choices produce a mean value of time twice as large as the corresponding hypothetical value.

Suggested Citation

  • 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).
  • Handle: RePEc:hhs:vtiwps:2007_003
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    File URL: http://www.transportportal.se/SWoPEc/Hypo%20bias%20feb07.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Ait Ali, Abderrahman & Eliasson, Jonas & Warg, Jennifer, 2022. "Are commuter train timetables consistent with passengers’ valuations of waiting times and in-vehicle crowding?," Transport Policy, Elsevier, vol. 116(C), pages 188-198.
    3. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    4. Dixit, Vinayak & Jian, Sisi & Hassan, Asif & Robson, Edward, 2019. "Eliciting perceptions of travel time risk and exploring its impact on value of time," Transport Policy, Elsevier, vol. 82(C), pages 36-45.
    5. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    6. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    7. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    8. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav, 2021. "Can time-inconsistent preferences explain hypothetical biases?," Economics of Transportation, Elsevier, vol. 25(C).
    9. 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.
    10. 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.
    11. 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).
    12. Jerrod M. Penn & Wuyang Hu, 2021. "The Extent of Hypothetical Bias in Willingness to Accept," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 126-141, January.
    13. 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.
    14. Jan-Erik Swärdh & Staffan Algers, 2016. "Willingness to accept commuting time within the household: stated preference evidence," Transportation, Springer, vol. 43(2), pages 219-241, March.
    15. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    16. Tidwell, James B. & Terris-Prestholt, Fern & Quaife, Matthew & Aunger, Robert, 2019. "Understanding demand for higher quality sanitation in peri-urban Lusaka, Zambia through stated and revealed preference analysis," Social Science & Medicine, Elsevier, vol. 232(C), pages 139-147.
    17. Di Fang & Rodolfo M. Nayga & Grant H. West & Claudia Bazzani & Wei Yang & Benjamin C. Lok & Charles E. Levy & Heather A. Snell, 2021. "On the Use of Virtual Reality in Mitigating Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 142-161, January.

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    More about this item

    Keywords

    Hypothetical bias; Experiment; Value of time; Generalized Method of Moments estimator; Bootstrap; Asymptotic refinement;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

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