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Policy Changes And The Demand For Lottery-Rationed Big Game Hunting Licenses

  • Scrogin, David
  • Berrens, Robert P.
  • Bohara, Alok K.

Lotteries are commonly used to allocate big game hunting privileges. In this study, lottery demand and consumer surplus are modeled before and after policy changes designed to increase participation. The application is to New Mexico elk hunt lotteries. Given the volume and variety of hunts, we adopt a disaggregated and flexible count modeling approach. Two welfare measures are estimated: Marshallian surplus and a proposed measure that incorporates consumer uncertainty. The Marshallian measure produces smaller and slightly less precise estimates. However, regardless of the surplus measure examined, welfare increased significantly with the policy changes, while revenues changed by less than 1%.

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File URL: http://purl.umn.edu/30891
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Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 25 (2000)
Issue (Month): 02 (December)
Pages:

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Handle: RePEc:ags:jlaare:30891
Contact details of provider: Web page: http://waeaonline.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. Feather, Peter & Shaw, W. Douglass, 1998. "Estimating The Cost Of Leisure Time For Recreation Demand Models," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20855, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Boyce, John R, 1994. "Allocation of Goods by Lottery," Economic Inquiry, Western Economic Association International, vol. 32(3), pages 457-76, July.
  4. Peter C. Boxall, 1995. "The Economic Value of Lottery-rationed Recreational Hunting," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 43(1), pages 119-131, 03.
  5. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  6. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
  7. Timothy C. Haab & Kenneth E. McConnell, 1996. "Count Data Models and the Problem of Zeros in Recreation Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 89-102.
  8. 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.
  9. Christine Seller & John R. Stoll & Jean-Paul Chavas, 1985. "Validation of Empirical Measures of Welfare Change: A Comparison of Nonmarket Techniques," Land Economics, University of Wisconsin Press, vol. 62(2), pages 156-175.
  10. Creel, Michael D. & Loomis, John B., 1992. "Modeling hunting demand in the presence of a bag limit, with tests of alternative specifications," Journal of Environmental Economics and Management, Elsevier, vol. 22(2), pages 99-113, March.
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