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The Value of Changes in Deer Season Length: An Application of the Nested Multinomial Logit Model

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  • Kurt Schwabe

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  • Peter Schuhmann
  • Roy Boyd
  • Khosrow Doroodian
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    Abstract

    Increasing deer populations can be controlled through manipulatingharvest limits or season length. While such actions often result in benefitsto hunters, both motorists and the agricultural sector also benefit as alower deer population leads to fewer incidences of harmful human-deerencounters. Traditional recreation demand models are often employed toexamine the welfare implications of changes in daily hunting bag limits.Studies measuring the effects of changes in season length, however, arenoticeably absent from the literature. This study uses a nested randomutility model to examine hunter choice over site and season selection toderive the values of changes in season length. Copyright Kluwer Academic Publishers 2001

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    Bibliographic Info

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

    Volume (Year): 19 (2001)
    Issue (Month): 2 (June)
    Pages: 131-147

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    Handle: RePEc:kap:enreec:v:19:y:2001:i:2:p:131-147

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    Web page: http://www.springerlink.com/link.asp?id=100263

    Related research

    Keywords: deer; discrete choice; nested multinomial logit; random utility; recreation;

    References

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    1. Keith, John E. & Lyon, Kenneth S., 1985. "Valuing Wildlife Management: A Utah Deer Herd," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(02), December.
    2. Joseph Cooper, 1993. "A bioeconomic model for estimating the optimal level of deer and tag sales," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 3(6), pages 563-579, December.
    3. Herriges, Joseph A. & Kling, Catherine L., 1997. "Performance of Nested Logit Models when Welfare Estimation Is the Goal (The)," Staff General Research Papers 1480, Iowa State University, Department of Economics.
    4. Herriges, Joseph A. & Kling, Catherine L., 1999. "Valuing Recreation and the Environment: Revealed Preference Methods in Theory and Practice, New Horizons in Environmental Economics," Staff General Research Papers 12330, Iowa State University, Department of Economics.
    5. Daniel McFadden, 1987. "A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Working papers 464, Massachusetts Institute of Technology (MIT), Department of Economics.
    6. Herriges, Joseph A. & Kling, Catherine L., 1996. "Testing the consistency of nested logit models with utility maximization," Economics Letters, Elsevier, vol. 50(1), pages 33-39, January.
    7. Daniel McFadden, 1977. "Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments," Cowles Foundation Discussion Papers 474, Cowles Foundation for Research in Economics, Yale University.
    8. Kling, Catherine L. & Thomson, Cynthia J., 1996. "Implications of Model Specification for Welfare Estimation in Nested Logit Models (The)," Staff General Research Papers 1599, Iowa State University, Department of Economics.
    9. Kling, Catherine L. & Bockstael, Nancy & Hanemann, W. Michael, 1987. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers 1594, Iowa State University, Department of Economics.
    10. Joseph A. Herriges & Catherine L. Kling, 1997. "The Performance of Nested Logit Models When Welfare Estimation Is the Goal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 792-802.
    11. Herriges, Joseph A. & Kling, Catherine L. & Phaneuf, Daniel J., 1999. "Corner Solution Models of Recreation Demand: A Comparison of Competing Frameworks," Staff General Research Papers 1513, Iowa State University, Department of Economics.
    12. Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
    13. Herriges, Joseph A. & Kling, Catherine L., 2003. "Recreation Demand Models," Staff General Research Papers 10211, Iowa State University, Department of Economics.
    14. Borsch-Supan, Axel, 1990. "On the compatibility of nested logit models with utility maximization," Journal of Econometrics, Elsevier, vol. 43(3), pages 373-388, March.
    15. Parsons George R. & Kealy Mary Jo, 1995. "A Demand Theory for Number of Trips in a Random Utility Model of Recreation," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 357-367, November.
    16. Kling, Catherine L. & Herriges, Joseph A., 1995. "Empirical Investigation of the Consistency of Nested Logit Models with Utility Maximization (An)," Staff General Research Papers 1499, Iowa State University, Department of Economics.
    17. Catherine L. Kling & Cynthia J. Thomson, 1996. "The Implications of Model Specification for Welfare Estimation in Nested Logit Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 103-114.
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    Cited by:
    1. Knoche, Scott & Lupi, Frank, 2007. "Valuing deer hunting ecosystem services from farm landscapes," Ecological Economics, Elsevier, vol. 64(2), pages 313-320, December.
    2. Batabyal, Amitrajeet A., 2002. "On temporal controls and the stochastic behaviour of renewable natural resources," Resources Policy, Elsevier, vol. 28(1-2), pages 7-12.
    3. Mogas, Joan & Riera, Pere & Bennett, Jeff, 2006. "A comparison of contingent valuation and choice modelling with second-order interactions," Journal of Forest Economics, Elsevier, vol. 12(1), pages 5-30, March.
    4. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761 Elsevier.

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