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Mitigating Hypothetical Bias: Evidence on the Effects of Correctives from a Large Field Study

Author

Listed:
  • Mark A. Andor

    (RWI - Leibniz Institut für Wirtschaftsforschung)

  • Manuel Frondel

    (RWI - Leibniz Institut für Wirtschaftsforschung
    Ruhr University Bochum)

  • Colin Vance

    (RWI - Leibniz Institut für Wirtschaftsforschung
    Jacobs University Bremen)

Abstract

The overestimation of willingness-to-pay (WTP) in hypothetical responses is a well-known finding in the literature. Various techniques have been proposed to remove or, at least, reduce this bias. Using about 30,000 responses on WTP for a variety of power mixes from a panel of 6500 German households and the fixed-effects estimator to control for unobserved heterogeneity, this article simultaneously explores the effects of two common ex-ante approaches—cheap talk and consequential script—and the ex-post certainty approach to calibrating hypothetical WTP responses. Based on a switching regression model that accounts for the potential endogeneity of respondent certainty, we find evidence for a lower WTP among those respondents who classify themselves as definitely certain about their answers. Although neither cheap talk nor the consequential-script corrective reduce WTP estimates, receiving either of these scripts increases the probability that respondents indicate definite certainty about their WTP bids.

Suggested Citation

  • Mark A. Andor & Manuel Frondel & Colin Vance, 2017. "Mitigating Hypothetical Bias: Evidence on the Effects of Correctives from a Large Field Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 777-796, November.
  • Handle: RePEc:kap:enreec:v:68:y:2017:i:3:d:10.1007_s10640-016-0047-x
    DOI: 10.1007/s10640-016-0047-x
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    Cited by:

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    3. Picard, Julien & Banerjee, Sanchayan, 2023. "Behavioural spillovers unpacked: estimating the side effects of social norm nudges," LSE Research Online Documents on Economics 120566, London School of Economics and Political Science, LSE Library.
    4. Eßer, Jana & Frondel, Manuel & Sommer, Stephan, 2021. "Soziale Normen und der Emissionsausgleich bei Flügen: Evidenz für deutsche Haushalte," RWI Materialien 139, RWI - Leibniz-Institut für Wirtschaftsforschung.
    5. Mark A. Andor & Manuel Frondel & Stephan Sommer, 2018. "Equity and the willingness to pay for green electricity in Germany," Nature Energy, Nature, vol. 3(10), pages 876-881, October.
    6. Zawojska, Ewa & Bartczak, Anna & Czajkowski, Mikołaj, 2019. "Disentangling the effects of policy and payment consequentiality and risk attitudes on stated preferences," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 63-84.
    7. Simora, Michael & Frondel, Manuel & Vance, Colin, 2018. "Does financial compensation increase the acceptance of power lines? Evidence from Germany," Ruhr Economic Papers 742, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Mark A. Andor & Manuel Frondel & Marco Horvath, 2021. "Consequentiality, Elicitation Formats, and the Willingness to Pay for Green Electricity: Evidence from Germany," Land Economics, University of Wisconsin Press, vol. 97(3), pages 626-640.
    9. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    10. Simora, Michael & Frondel, Manuel & Vance, Colin, 2020. "Do financial incentives increase the acceptance of power lines? Evidence from Germany," Regional Science and Urban Economics, Elsevier, vol. 85(C).

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    Keywords

    Willingness-to-pay; Cheap talk; Certainty approach;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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