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Monte Carlo Benchmarks for Discrete Response Valuation Methods

  • Ju-Chin Huang
  • V. Kerry Smith

This paper argues that the belief that discrete contingent valuation (CV) questions yield substantially larger estimates of the mean (and the median) willingness to pay (WTP) for nonmarket resources in comparison to open-ended CV questions is unfounded. Monte Carlo experiments estimate the factors influencing the performance of WTP estimates based on discrete response models. Most of the error arises from the specification errors common to the empirical models in the literature. These experiments suggest models where WTP is dominated by nonuse (or passive use) values are likely to have smaller errors than where large use values influence these decisions.

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Article provided by University of Wisconsin Press in its journal Land Economics.

Volume (Year): 74 (1998)
Issue (Month): 2 ()
Pages: 186-202

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Handle: RePEc:uwp:landec:v:74:y:1998:i:2:p:186-202
Contact details of provider: Web page: http://le.uwpress.org/

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  1. Kling, Catherine L., 1988. "Comparing Welfare Estimates of Environmental Quality Changes from Recreation Demand Models," Staff General Research Papers 1584, Iowa State University, Department of Economics.
  2. Joseph Cooper & John Loomis, 1992. "Sensitivity of Willingness-to-Pay Estimates to Bid Design in Dichotomous Choice Contingent Valuation Models," Land Economics, University of Wisconsin Press, vol. 68(2), pages 211-224.
  3. Richard C. Ready & Jean C. Buzby & Dayuan Hu, 1996. "Differences between Continuous and Discrete Contingent Value Estimates," Land Economics, University of Wisconsin Press, vol. 72(3), pages 397-411.
  4. 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.
  5. Trudy Ann Cameron, 1992. "Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods," Land Economics, University of Wisconsin Press, vol. 68(3), pages 302-317.
  6. 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.
  7. Bengt Kriström, 1993. "Comparing continuous and discrete contingent valuation questions," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 3(1), pages 63-71, February.
  8. Holmes Thomas P. & Kramer Randall A., 1995. "An Independent Sample Test of Yea-Saying and Starting Point Bias in Dichotomous-Choice Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 29(1), pages 121-132, July.
  9. 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.
  10. 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.
  11. Kevin J. Boyle & F. Reed Johnson & Daniel W. McCollum & William H. Desvousges & Richard W. Dunford & Sara P. Hudson, 1996. "Valuing Public Goods: Discrete versus Continuous Contingent-Valuation Responses," Land Economics, University of Wisconsin Press, vol. 72(3), pages 381-396.
  12. Anna Alberini, 1995. "Testing Willingness-to-Pay Models of Discrete Choice Contingent Valuation Survey Data," Land Economics, University of Wisconsin Press, vol. 71(1), pages 83-95.
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