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The Value Of Increasing The Length Of Deer Season In Ohio

Author

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  • Schwabe, Kurt A.
  • Schuhmann, Peter W.

Abstract

Growing deer populations are controlled through changes in hunting regulations including changes in both hunter bag limits and season length. Such action results in direct benefits to hunters and indirect benefits to motorists and the agricultural sector as a lower deer population leads to fewer incidences of human-deer encounters. Traditional recreation demand models are often employed to examine the welfare implications of changes in daily hunting bag limits. Studies measuring the effects of changes in season length, however, are noticeably absent from the literature. This study uses a nested random utility model to examine hunter choice over site and season selection to derive the welfare implications of changes in season length.

Suggested Citation

  • Schwabe, Kurt A. & Schuhmann, Peter W., 1999. "The Value Of Increasing The Length Of Deer Season In Ohio," 1999 Annual meeting, August 8-11, Nashville, TN 21574, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea99:21574
    DOI: 10.22004/ag.econ.21574
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    References listed on IDEAS

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    1. 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.
    2. Yoshiaki Kaoru & V. Kerry Smith & Jin Long Liu, 1995. "Using Random Utility Models to Estimate the Recreational Value of Estuarine Resources," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 141-151.
    3. Joseph A. Herriges & Catherine L. Kling & Daniel J. Phaneuf, 1999. "Corner Solution Models of Recreation Demand: A Comparison of Competing Frameworks," Chapters, in: Joseph A. Herriges & Catherine L. Kling (ed.), Valuing Recreation and the Environment, chapter 6, pages 163-198, Edward Elgar Publishing.
    4. 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.
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