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Hypothetical Bias, Consequentiality and Choice Experiments

Author

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  • Craig D. Broadbent

    () (Illinois Wesleyan University)

Abstract

The presence of hypothetical bias in stated preference methods has led many researchers to look for methods to ameliorate the bias. This paper investigates the use of a consequentiality question to calibrate stated preference data from a controlled laboratory experiment using a choice experimental framework. Results suggest evidence of hypothetical bias using a likelihood ratio test, however, when comparing marginal willingness to pay results statistical evidence of the bias is not found. The finding of equal marginal willingness to pay could be due to the high number of participants who perceived the survey as potentially consequential.

Suggested Citation

  • Craig D. Broadbent, 2012. "Hypothetical Bias, Consequentiality and Choice Experiments," Economics Bulletin, AccessEcon, vol. 32(3), pages 2490-2499.
  • Handle: RePEc:ebl:ecbull:eb-12-00414
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    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I3-P239.pdf
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    References listed on IDEAS

    as
    1. Poe, Gregory L. & Vossler, Christian A., 2009. "Consequentiality and contingent values: an emerging paradigm," MPRA Paper 38864, University Library of Munich, Germany.
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    3. Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
    4. Joseph Cook & Dale Whittington & Do Gia Canh & F. Reed Johnson & Andrew Nyamete, 2007. "Reliability Of Stated Preferences For Cholera And Typhoid Vaccines With Time To Think In Hue, Vietnam," Economic Inquiry, Western Economic Association International, vol. 45(1), pages 100-114, January.
    5. Vossler, Christian A. & Evans, Mary F., 2009. "Bridging the gap between the field and the lab: Environmental goods, policy maker input, and consequentiality," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 338-345, November.
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    10. List John A. & Sinha Paramita & Taylor Michael H., 2006. "Using Choice Experiments to Value Non-Market Goods and Services: Evidence from Field Experiments," The B.E. Journal of Economic Analysis & Policy, De Gruyter, pages 1-39.
    11. Herriges, Joseph & Kling, Catherine & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 67-81, January.
    12. Brown, Thomas C. & Ajzen, Icek & Hrubes, Daniel, 2003. "Further tests of entreaties to avoid hypothetical bias in referendum contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 353-361, September.
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    14. Dmitriy Volinskiy & Wiktor Adamowicz & Michele Veeman, 2011. "Predicting versus testing: a conditional cross‐forecasting accuracy measure for hypothetical bias," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, pages 429-450.
    15. Darren Hudson & Karina Gallardo & Terry Hanson, 2005. "Hypothetical (Non)Bias In Choice Experiments: Evidence From Freshwater Prawns," Experimental 0503003, EconWPA.
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    Cited by:

    1. Ewa Zawojska & Anna Bartczak & Mikołaj Czajkowski, 2018. "Disentangling the effects of policy and payment consequentiality and risk attitudes on stated preferences," Working Papers 2018-01, Faculty of Economic Sciences, University of Warsaw.
    2. Pfarr, Christian & Schmid, Andreas & Ulrich, Volker, 2013. "You can't always get what you want - East and West Germans' attitudes and preferences regarding the welfare state," MPRA Paper 47240, University Library of Munich, Germany.
    3. Christian Pfarr & Andreas Schmid, 2016. "Redistribution through social health insurance: evidence on citizen preferences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(5), pages 611-628, June.

    More about this item

    Keywords

    hypothetical bias; choice experiments; consequential;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • H4 - Public Economics - - Publicly Provided Goods

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