Monte Carlo Benchmarks for Discrete Response Valuation Methods
This paper argues that the widespread belief that discrete contingent valuation (CV) questions yield substantially larger estimates of the mean (and the median) willingness to pay (WTP) for nonmarket environmental resources in comparison to estimates from open-ended CV questions is unfounded. A set of Monte Carlo experiments estimate the factors influencing the performance of WTP estimates based on discrete response models. Most of the error in the WTP estimates arises from the specification errors that are common in most of the empirical models used in the literature. These experiments suggest models based on choices where WTP is dominated by non use (or passive use) values are likely to have smaller errors than where large use values influence these decisions.
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|Date of creation:||1996|
|Date of revision:|
|Publication status:||Published in LAND ECONOMICS, Vol. 74, 1998, pages 186-202|
|Contact details of provider:|| Postal: Department of Economics Duke University 213 Social Sciences Building Box 90097 Durham, NC 27708-0097|
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- Cropper, Maureen L & Deck, Leland B & McConnell, Kenneth E, 1988. "On the Choice of Functional Form for Hedonic Price Functions," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 668-75, November.
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"Comparing welfare estimates of environmental quality changes from recreation demand models,"
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- T.A. Cameron & D.D. Huppert, 1988. ""Referendum" Contingent Valuation Estimates: Sensitivity to the Assignment of Offered Values," UCLA Economics Working Papers 519, UCLA Department of Economics.
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