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‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife

  • R. Martínez-Espiñeira


The willingness to pay (WTP) for a coyote conservation program is estimated using a novel payment-vehicle, based on how many ‚problem’ coyotes respondents would be willing to sponsor for a year. This hypothetical scenario mimics an increasingly popular type of actual market. Data from a phone survey conducted in Prince Edward Island are analyzed using count data models that consider different processes explaining zero responses and the level of positive responses. This is particularly important in the case of coyotes, often regarded as an economic bad. Estimates of WTP per coyote per year around $18–$22 and annual WTP per contributor of about $46–$57 are obtained. Copyright Springer Science+Business Media, Inc. 2007

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Article provided by Springer & European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics.

Volume (Year): 37 (2007)
Issue (Month): 2 (June)
Pages: 335-360

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Handle: RePEc:kap:enreec:v:37:y:2007:i:2:p:335-360
DOI: 10.1007/s10640-006-9051-x
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  1. Thomas H. Stevens & Jaime Echeverria & Ronald J. Glass & Tim Hager & Thomas A. More, 1991. "Measuring the Existence Value of Wildlife: What Do CVM Estimates Really Show?," Land Economics, University of Wisconsin Press, vol. 67(4), pages 390-400.
  2. Joseph Hilbe, 1999. "Zero-truncated Poisson and negative binomial regression," Stata Technical Bulletin, StataCorp LP, vol. 8(47).
  3. Laura Nahuelhual-Muñoz & Maria Loureiro & John Loomis, 2004. "Addressing Heterogeneous Preferences Using Parametric Extended Spike Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(3), pages 297-311, March.
  4. Clem Tisdell & Clevo Wilson, 2006. "Information, Wildlife Valuation, Conservation: Experiments And Policy," Contemporary Economic Policy, Western Economic Association International, vol. 24(1), pages 144-159, 01.
  5. Göran Bostedt, 1999. "Threatened Species as Public Goods and Public Bads," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 13(1), pages 59-73, January.
  6. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
  7. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
  8. John W. Duffield & David A. Patterson, 1991. "Inference and Optimal Design for a Welfare Measure in Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 67(2), pages 225-239.
  9. Jeffrey Englin & Klaus Moeltner, 2004. "The Value of Snowfall to Skiers and Boarders," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(1), pages 123-136, September.
  10. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
  11. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-44, September.
  12. Robert Mitchell, 2002. "On Designing Constructed Markets in Valuation Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 297-321, June.
  13. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  14. Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December.
  15. Andreas Kontoleon & Timothy Swanson, 2003. "The Willingness to Pay for Property Rights for the Giant Panda: Can a Charismatic Species Be an Instrument for Nature Conservation?," Land Economics, University of Wisconsin Press, vol. 79(4), pages 483-499.
  16. Kristin Jakobsson & Andrew Dragun, 2001. "The Worth of a Possum: Valuing Species with the Contingent Valuation Method," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(3), pages 211-227, July.
  17. Allen McDowell, 2003. "From the help desk: hurdle models," Stata Journal, StataCorp LP, vol. 3(2), pages 178-184, June.
  18. Lin, Tsai-Fen & Schmidt, Peter, 1984. "A Test of the Tobit Specification against an Alternative Suggested by Cragg," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 174-77, February.
  19. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
  20. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
  21. Nancy E. Bockstael & Ivar E. Strand, Jr., 1987. "The Effect of Common Sources of Regression Error on Benefit Estimates," Land Economics, University of Wisconsin Press, vol. 63(1), pages 11-20.
  22. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-12, February.
  23. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
  24. Loomis, John B. & White, Douglas S., 1996. "Economic benefits of rare and endangered species: summary and meta-analysis," Ecological Economics, Elsevier, vol. 18(3), pages 197-206, September.
  25. Jeffrey Englin & Trudy Cameron, 1996. "Augmenting travel cost models with contingent behavior data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 133-147, March.
  26. David S. Brookshire & Larry S. Eubanks & Alan Randall, 1983. "Estimating Option Prices and Existence Values for Wildlife Resources," Land Economics, University of Wisconsin Press, vol. 59(1), pages 1-15.
  27. Carter Betz & John Bergstrom & J. M. Bowker, 2003. "A Contingent Trip Model for Estimating Rail-trail Demand," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 46(1), pages 79-96.
  28. Garcia, Jaume & Labeaga, Jose M, 1996. "Alternative Approaches to Modelling Zero Expenditure: An Application to Spanish Demand for Tobacco," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 489-506, August.
  29. Gurmu, Shiferaw & Trivedi, Pravin K, 1996. "Excess Zeros in Count Models for Recreational Trips," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 469-77, October.
  30. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-75, June.
  31. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
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