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Mitigating strategic misrepresentation of values in open-ended stated preference surveys by using negative reinforcement

Author

Listed:
  • Romain Crastes Dit Sourd

    (University of Leeds)

  • Ewa Zawojska

    (UW - Uniwersytet Warszawski [Polska] = University of Warsaw [Poland] = Université de Varsovie [Pologne])

  • Pierre-Alexandre Mahieu

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Jordan Louviere

    (University of South Australia [Adelaide])

Abstract

pen-ended questions are used in stated preference surveys to elicit values that individuals assign to goods and services. In some settings, the open-ended format can incite respondents to strategically misrepresent these values and, hence, it may lead to biased welfare measures. Literature has developed several methods, such as an oath or a cheap talk, to encourage truthful disclosure of preferences. These methods rely primarily on positive reinforcement by invoking positive associations of trust, honour and honesty, among others. In this paper, we propose a new approach that seeks to mitigate strategic misrepresentation of preferences by means of negative reinforcement, which arouses negative associations of, for example, mistrust and insincerity. The proposed negative reinforcement approach involves punishment for dishonesty in the form of unfavourable recoding of stated values if those are suspected of being untruthful. The approach is examined in a field survey concerning valuation of an entertainment event in the Plant Garden in Nantes, France. The survey makes value overstatement potentially attractive to respondents. We find that respondents who are aware of subsequent unfavourable recoding of insincere (i.e., overstated) values to zeros state significantly lower willingness-to-pay values than respondents who are not faced with the possible recoding of their answers. The effectiveness of the proposed negative reinforcement approach in reducing value overstatement is assessed against an existing positive reinforcement approach, namely against using the oath. Both approaches are observed to generate statistically equivalent value estimates, pointing to their similar effectiveness in mitigating incentives to overstate values.

Suggested Citation

  • Romain Crastes Dit Sourd & Ewa Zawojska & Pierre-Alexandre Mahieu & Jordan Louviere, 2018. "Mitigating strategic misrepresentation of values in open-ended stated preference surveys by using negative reinforcement," Post-Print hal-03714048, HAL.
  • Handle: RePEc:hal:journl:hal-03714048
    DOI: 10.1016/j.jocm.2018.06.001
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    Cited by:

    1. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.

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    Keywords

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    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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