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A Note on a Bayesian Approach to a Dichotomous Choice Environmental Valuation Model

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  • Seung-Hoon Yoo

Abstract

As an alternative to the classical approach for analysing dichotomous choice environmental valuation data, this note develops a Bayesian approach by using the idea of Gibbs sampling and data augmentation. A by-product from the approach is a welfare measure, such as the mean willingness to pay, and its confidence interval, which can be used for policy analysis.

Suggested Citation

  • Seung-Hoon Yoo, 2004. "A Note on a Bayesian Approach to a Dichotomous Choice Environmental Valuation Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(10), pages 1203-1209.
    • Handle: RePEc:taf:japsta:v:31:y:2004:i:10:p:1203-1209
    DOI: 10.1080/0266476042000285558
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    Cited by:

    1. Loomis, John B. & Mueller, Julie M., 2013. "A Spatial Probit Modeling Approach to Account for Spatial Spillover Effects in Dicotomous Choice Contingent Valuation Surveys," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(1), pages 1-11, February.
    2. Li, Hui & Jenkins-Smith, Hank C. & Silva, Carol L. & Berrens, Robert P. & Herron, Kerry G., 2009. "Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development," Ecological Economics, Elsevier, vol. 68(3), pages 731-742, January.
    3. Andy Vekeman & Michel Meulders & Alain Praet & Jan Colpaert & Tom Van Puyenbroeck, 2015. "Contingent Valuation of a Classic Cycling Race," Journal of Sports Economics, , vol. 16(3), pages 268-294, April.

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