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Using a Generalized Linear Mixed Model to Analyze Dichotomous Choice Contingent Valuation Data

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  • Ian H. Langford

Abstract

Willingness-to-pay (WTP) responses from dichotomous choice contingent valuation studies are often modeled using logistic regression, from which estimates of mean or median WTP are calculated. However, a great many factors influence an individual's WTP, some of which may be unobserved. Hence, the regression model may have inadequate explanatory power, and parameter estimates may be biased and their significance overestimated. The effects of this overdispersion are examined within a generalized linear mixed modeling framework, and an example given using published data from Cooper and Loomis (1992).

Suggested Citation

  • Ian H. Langford, 1994. "Using a Generalized Linear Mixed Model to Analyze Dichotomous Choice Contingent Valuation Data," Land Economics, University of Wisconsin Press, vol. 70(4), pages 507-514.
    • Handle: RePEc:uwp:landec:v:70:y:1994:i:4:p:507-514
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    Cited by:

    1. Bishai, David M. & Lang, Hui Chu, 2000. "The willingness to pay for wait reduction: the disutility of queues for cataract surgery in Canada, Denmark, and Spain," Journal of Health Economics, Elsevier, vol. 19(2), pages 219-230, March.
    2. Langford, Ian H. & Bateman, Ian J., 1996. "Elicitation and truncation effects in contingent valuation studies," Ecological Economics, Elsevier, vol. 19(3), pages 265-267, December.

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