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Nonparametric Estimation of Mean Willingness to Pay from Discrete Response Valuation Data

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  • Masahide Watanabe

Abstract

This article develops a nonparametric method to consistently estimate mean willingness to pay (WTP) in various discrete response valuation methods. The advantage of this method is that it can consistently estimate unconditional mean WTP with astonishing ease under some assumptions of the bid distribution. In addition, we develop a method for estimating the best linear predictor for conditional mean WTP using a linear projection. This method is applicable to single-bounded and double-bounded contingent valuation, and some forms of choice experiment. Copyright 2010, Oxford University Press.

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  • Masahide Watanabe, 2010. "Nonparametric Estimation of Mean Willingness to Pay from Discrete Response Valuation Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1114-1135.
    • Handle: RePEc:oup:ajagec:v:92:y:2010:i:4:p:1114-1135
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    File URL: http://hdl.handle.net/10.1093/ajae/aaq034
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    Cited by:

    1. Kang, Heechan & Haab, Timothy C. & Interis, Matthew G., 2013. "Identifying inconsistent responses in dichotomous choice contingent valuation with follow-up questions," Resource and Energy Economics, Elsevier, vol. 35(3), pages 396-411.
    2. Bellemare, Marc F., 2012. "As You Sow, So Shall You Reap: The Welfare Impacts of Contract Farming," World Development, Elsevier, vol. 40(7), pages 1418-1434.
    3. Marcella Veronesi & Anna Alberini & Joseph Cooper, 2011. "Implications of Bid Design and Willingness-To-Pay Distribution for Starting Point Bias in Double-Bounded Dichotomous Choice Contingent Valuation Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 199-215, June.
    4. Zapata, Samuel D. & Carpio, Carlos E., . "Distribution-Free Methods to Estimate Willingness to Pay Models Using Discrete Response Valuation Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(1).
    5. Zapata, Samuel D. & Carpio, Carlos E., 2014. "Distribution-free Methods for Estimation of Willingness to Pay Models Using Discrete Response Valuation Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170453, Agricultural and Applied Economics Association.
    6. Mikołaj Czajkowski & Ewa Zawojska & Norman Meade & Ronaldo Seroa da Motta & Mike Welsh & Ramon Arigoni Ortiz, 2022. "On the inference about willingness to pay distribution using contingent valuation data," Working Papers 2022-08, Faculty of Economic Sciences, University of Warsaw.
    7. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    8. Akanksha Negi & Jeffrey M. Wooldridge, 2020. "Robust and Efficient Estimation of Potential Outcome Means under Random Assignment," Papers 2010.01800, arXiv.org.
    9. Jorge Araña & Carmelo León, 2013. "Can Defaults Save the Climate? Evidence from a Field Experiment on Carbon Offsetting Programs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 613-626, April.

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