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Mitigating Hypothetical Bias in Value of Time Studies: Lab-Experiment Results

Author

Listed:
  • Hultkrantz, Lars

    (Department of Business, Economics, Statistics and Informatics)

  • Shengcong, Xue

    (Department of Business, Economics, Statistics and Informatics)

Abstract

We present results from a series of willingness to-accept value-of-time choice experiments with students in Sweden and China, using both real and hypothetical purchases of the students´ time. Our results confirm negative hypothetical bias in stated choice elicitation of value-of-time. However, we find no evidence of hypothetical bias in a choice experiment where respondents to hypothetical or real offers have equal reference points (i.e., for purchase of their time “here and now”). Moreover, at least in the Chinese sample, we find that ex-post mitigation of negative hypothetical bias by certainty calibration, through recoding of uncertain “yes” responses into “no”, overshoots, while calibration by restricting estimations to confident “yes” and “no” responses possibly performs better.

Suggested Citation

  • Hultkrantz, Lars & Shengcong, Xue, 2009. "Mitigating Hypothetical Bias in Value of Time Studies: Lab-Experiment Results," Working Papers 2009:14, Örebro University, School of Business, revised 01 Nov 2010.
  • Handle: RePEc:hhs:oruesi:2009_014
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    References listed on IDEAS

    as
    1. Lars Hultkrantz & Gunnar Lindberg & Camilla Andersson, 2006. "The value of improved road safety," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 151-170, March.
    2. Gaudry, Marc J. I. & Jara-Diaz, Sergio R. & Ortuzar, Juan de Dios, 1989. "Value of time sensitivity to model specification," Transportation Research Part B: Methodological, Elsevier, vol. 23(2), pages 151-158, April.
    3. List, John A. & Shogren, Jason F., 1998. "Calibration of the difference between actual and hypothetical valuations in a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 37(2), pages 193-205, October.
    4. 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.
    5. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    6. Magnus Johannesson & Bengt Liljas & Per-Olov Johansson, 1998. "An experimental comparison of dichotomous choice contingent valuation questions and real purchase decisions," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 643-647.
    7. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 842-856, November.
    8. Glenn Harrison, 2006. "Experimental Evidence on Alternative Environmental Valuation Methods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 125-162, May.
    9. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    10. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Akter, Sonia & Bennett, Jeff & Akhter, Sanzida, 2008. "Preference uncertainty in contingent valuation," Ecological Economics, Elsevier, vol. 67(3), pages 345-351, October.
    13. Karen Blumenschein & Glenn C. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, January.
    14. Karen Blumenschein & Magnus Johannesson & Glenn C. Blomquist & Bengt Liljas & Richard M. O’Conor, 1998. "Experimental Results on Expressed Certainty and Hypothetical Bias in Contingent Valuation," Southern Economic Journal, John Wiley & Sons, vol. 65(1), pages 169-177, July.
    15. Svensson, Mikael, 2006. "The Value of a Statistical Life in Sweden Estimates from Two Studies using the "Certainty Approach" Calibration," Working Papers 2006:6, Örebro University, School of Business, revised 12 May 2009.
    16. Glenn Blomquist & Karen Blumenschein & Magnus Johannesson, 2009. "Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(4), pages 473-502, August.
    17. Sund, Björn, 2009. "Certainty calibration in contingent valuation - exploring the within-difference between dichotomous choice and open-ended answers as a certainty measure," Working Papers 2009:1, Örebro University, School of Business.
    18. 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.
    19. Jara-Díaz, Sergio R. & Videla, Jorge, 1989. "Detection of income effect in mode choice: Theory and application," Transportation Research Part B: Methodological, Elsevier, vol. 23(6), pages 393-400, December.
    20. DeSerpa, A C, 1971. "A Theory of the Economics of Time," Economic Journal, Royal Economic Society, vol. 81(324), pages 828-846, December.
    21. Lars Hultkrantz & Reza Mortazavi, 2001. "Anomalies in the Value of Travel-Time Changes," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 285-299, May.
    22. Patricia Champ & Richard Bishop, 2001. "Donation Payment Mechanisms and Contingent Valuation: An Empirical Study of Hypothetical Bias," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(4), pages 383-402, August.
    23. Harrison, Glenn W. & Rutström, E. Elisabet, 2008. "Experimental Evidence on the Existence of Hypothetical Bias in Value Elicitation Methods," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 81, pages 752-767, Elsevier.
    24. Johannesson, Magnus & Blomquist, Glenn C. & Blumenschein, Karen & Johansson, Per-olov & Liljas, Bengt & O'Conor, Richard M., 1999. "Calibrating Hypothetical Willingness to Pay Responses," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 21-32, April.
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    Cited by:

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    More about this item

    Keywords

    Stated choice; Certainty calibration; Preference certainty;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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