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Comparing Models For Contingent Valuation Surveys: Statistical Efficiency And The Precision Of Benefit Estimates

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  • Park, Timothy A.
  • Loomis, John B.

Abstract

This paper empirically tested the three conditions identified by McConnell for equivalence of the linear utility difference model and the valuation function approach to dichotomous choice contingent valuation. Using a contingent valuation survey for deer hunting in California, two of the three conditions were violated. Even though the models are not simple linear transforms of each other for this survey, estimates of mean willingness to pay and their associated 95% confidence intervals around the mean were quite similar for the valuation methods.

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File URL: http://purl.umn.edu/29009
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Bibliographic Info

Article provided by Northeastern Agricultural and Resource Economics Association in its journal Northeastern Journal of Agricultural and Resource Economics.

Volume (Year): 21 (1992)
Issue (Month): 2 (October)
Pages:

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Handle: RePEc:ags:nejare:29009

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Web page: http://www.narea.org/
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Related research

Keywords: Resource /Energy Economics and Policy;

References

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  1. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
  2. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-19, November.
  3. McConnell, K. E., 1990. "Models for referendum data: The structure of discrete choice models for contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 19-34, January.
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Cited by:
  1. Souter, Ray A. & Bowker, James Michael, 1996. "A Note On Nonlinearity Bias And Dichotomous Choice Cvm: Implications For Aggregate Benefits Estimation," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(1), April.

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