Estimating mean willingness to pay from dichotomous choice contingent valuation studies

Buckland, S.T. and MacMillan, D.C. and Duff, E.I. and Hanley, N. (1999) Estimating mean willingness to pay from dichotomous choice contingent valuation studies. Journal of the Royal Statistical Society Series D - The Statistician, 48 (1). pp. 109-124. ISSN 0039-0526. (Full text available)

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Official URL
http://dx.doi.org/10.1111/1467-9884.00175

Abstract

Methods for estimating mean willingness to pay for some environmental goal are reviewed. Logistic regression analysis of data from dichotomous choice contingent valuation studies often models the willingness-to-pay curve poorly. We develop solutions to this problem. We also show how to model responses as a function of several covariates, and how to model the case in which a proportion of respondents is not willing to pay anything. Analytic and bootstrap methods for quantifying precision are developed. We illustrate the methods by using an example in which biodiversity losses due to acid rain deposition in Scotland are valued.

Item Type: Article
Uncontrolled keywords: Acid rain • Contingent valuation studies • Dichotomous choice • Logistic regression • Mean willingness to pay
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QA Mathematics (inc Computing science) > QA273 Probabilities
Divisions: Faculties > Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Depositing User: Douglas MacMillan
Date Deposited: 23 Oct 2009 10:55
Last Modified: 04 Mar 2013 14:24
Resource URI: http://kar.kent.ac.uk/id/eprint/23106 (The current URI for this page, for reference purposes)
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