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A mixed approach to payment certainty calibration in discrete choice welfare estimation

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  • Roy Brouwer

Abstract

This article provides further empirical evidence of payment uncertainty in dichotomous choice (DC) Contingent Valuation (CV) and proposes an alternative way of certainty calibration, moving away from conventional recoding of uncertain responses. In an international CV application, the main sources of payment uncertainty are identified related to imperfect knowledge and information about the public good involved, future supply levels, income constraints, price levels and the survey instrument. Together these sources of uncertainty are responsible for a third of the error variance in the estimated discrete choice model. Accounting for the heterogeneity induced by payment uncertainty in the welfare estimation procedure with the help of a mixed probit model yields a significantly lower welfare measure albeit at the expense of estimation precision.

Suggested Citation

  • Roy Brouwer, 2011. "A mixed approach to payment certainty calibration in discrete choice welfare estimation," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2129-2142.
  • Handle: RePEc:taf:applec:v:43:y:2011:i:17:p:2129-2142
    DOI: 10.1080/00036840903035977
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    Cited by:

    1. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    2. Virpi Lehtoranta & Anna-Kaisa Kosenius & Elina Seppälä, 2017. "Watershed Management Benefits in a Hypothetical, Real Intention and Real Willingness to Pay Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4117-4132, October.
    3. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    4. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    5. Zhang, Yixiang & Song, Bowei, 2023. "Does energy-efficiency label affect appliance price? Empirical analysis of the new national standard air conditioners in China," Energy, Elsevier, vol. 269(C).

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