[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ags/aaea99/21574.html
   My bibliography  Save this paper

The Value Of Increasing The Length Of Deer Season In Ohio

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21574/files/sp99sc01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.21574?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    5. 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.
    6. 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 Archive 1594, Iowa State University, Department of Economics.
    7. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    8. 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 Archive 12330, Iowa State University, Department of Economics.
    9. 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.
    10. Catherine L. Kling & Joseph A. Herriges, 1995. "An Empirical Investigation of the Consistency of Nested Logit Models with Utility Maximization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 875-884.
    11. 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.
    12. Herriges, Joseph A. & Kling, Catherine L., 2003. "Recreation Demand Models," Staff General Research Papers Archive 10211, Iowa State University, Department of Economics.
    13. Kling, Catherine L. & Herriges, Joseph A., 1997. "Model Performance of Nested Logit Models when Welfare Estimation is the Goal, The," Staff General Research Papers Archive 12331, Iowa State University, Department of Economics.
    14. Edward R. Morey & Robert D. Rowe & Michael Watson, 1993. "A Repeated Nested-Logit Model of Atlantic Salmon Fishing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 578-592.
    15. Joseph A. Herriges & Catherine L. Kling (ed.), 1999. "Valuing Recreation and the Environment," Books, Edward Elgar Publishing, number 1315.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kurt Schwabe & Peter Schuhmann & Roy Boyd & Khosrow Doroodian, 2001. "The Value of Changes in Deer Season Length: An Application of the Nested Multinomial Logit Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 131-147, June.
    2. 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.
    3. W. Shaw & Michael Ozog, 1999. "Modeling Overnight Recreation Trip Choice: Application of a Repeated Nested Multinomial Logit Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 13(4), pages 397-414, June.
    4. Herriges, Joseph A. & Phaneuf, Daniel J., 1999. "Controlling for Correlation Across Choice Occasions and Sites in a Repeated Mixed Logit Model of Recreation Demand," Western Region Archives 321717, Western Region - Western Extension Directors Association (WEDA).
    5. Bujosa Bestard, Angel & Riera Font, Antoni, 2010. "Estimating the aggregate value of forest recreation in a regional context," Journal of Forest Economics, Elsevier, vol. 16(3), pages 205-216, August.
    6. Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
    7. Parsons, George R. & Jakus, Paul M. & Tomasi, Ted, 1999. "A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 143-157, September.
    8. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    9. Crooker, John & Kling, Catherine L., 2000. "Nonparametric Bounds on Welfare Measures: A New Tool for Nonmarket Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 39(2), pages 145-161, March.
    10. Yongjie Ji & Joseph A. Herriges & Catherine L. Kling, 2016. "Modeling Recreation Demand When the Access Point Is Unknown," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 860-880.
    11. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    12. Catalina M. Torres Figuerola & Nick Hanley & Antoni Riera Font, 2008. "The implications of incorrect utility function specification for welfare measurement in choice experiments," CRE Working Papers (Documents de treball del CRE) 2008/6, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
    13. Dundas, Steven J. & von Haefen, Roger H., 2019. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," CEnREP Working Papers 283949, North Carolina State University, Department of Agricultural and Resource Economics.
    14. Mara Thiene & Riccardo Scarpa, 2009. "Deriving and Testing Efficient Estimates of WTP Distributions in Destination Choice Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(3), pages 379-395, November.
    15. Lupi, Frank & Feather, Peter M., 1997. "Using Partial Site Aggregation to Reduce Bias in Random Utility Travel Cost Models," Staff Paper Series 201220, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    16. Thiene, Mara & Swait, Joffre & Scarpa, Riccardo, 2017. "Choice set formation for outdoor destinations: The role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 152-173.
    17. Mara Thiene & Riccardo Scarpa, 2008. "Hiking in the Alps: Exploring Substitution Patterns of Hiking Destinations," Tourism Economics, , vol. 14(2), pages 263-282, June.
    18. Newbold, Stephen C. & Massey, D. Matthew, 2010. "Recreation demand estimation and valuation in spatially connected systems," Resource and Energy Economics, Elsevier, vol. 32(2), pages 222-240, April.
    19. Dundas, Steven J. & von Haefen, Roger H., 2015. "Weather Effects on the Demand for Coastal Recreational Fishing: Implications for a Changing Climate," CEnREP Working Papers 264980, North Carolina State University, Department of Agricultural and Resource Economics.
    20. Catalina M. Torres Figuerola & Nick Hanley & Sergio Colombo, 2011. "Incorrectly accounting for taste heterogeneity in choice experiments: Does it really matter for welfare measurement?," CRE Working Papers (Documents de treball del CRE) 2011/1, Centre de Recerca Econòmica (UIB ·"Sa Nostra").

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea99:21574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.