IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/30891.html
   My bibliography  Save this article

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

Author

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

Abstract

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%.

Suggested Citation

  • Scrogin, David & Berrens, Robert P. & Bohara, Alok K., 2000. "Policy Changes And The Demand For Lottery-Rationed Big Game Hunting Licenses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-19, December.
    • Handle: RePEc:ags:jlaare:30891
    DOI: 10.22004/ag.econ.30891
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30891/files/25020501.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.30891?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. Peter H. Nickerson, 1990. "Demand for the Regulation of Recreation: The Case of Elk and Deer Hunting in Washington State," Land Economics, University of Wisconsin Press, vol. 66(4), pages 437-447.
    2. Kling, Catherine L., 1988. "Comparing welfare estimates of environmental quality changes from recreation demand models," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 331-340, September.
    3. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    4. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    5. Mumy, Gene E & Hanke, Steve H, 1975. "Public Investment Criteria for Underpriced Public Products," American Economic Review, American Economic Association, vol. 65(4), pages 712-720, September.
    6. 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.
    7. 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, March.
    8. 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.
    9. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    10. V. Kerry Smith & Raymond J. Kopp, 1980. "The Spatial Limits of the Travel Cost Recreational Demand Model," Land Economics, University of Wisconsin Press, vol. 56(1), pages 64-72.
    11. 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.
    12. 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.
    13. Ozuna, Teofilo, Jr & Gomez, Irma Adriana, 1995. "Specification and Testing of Count Data Recreation Demand Functions," Empirical Economics, Springer, vol. 20(3), pages 543-550.
    14. William G. Brown & Farid Nawas, 1973. "Impact of Aggregation on the Estimation of Outdoor Recreation Demand Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 246-249.
    15. Boyce, John R, 1994. "Allocation of Goods by Lottery," Economic Inquiry, Western Economic Association International, vol. 32(3), pages 457-476, July.
    16. 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.
    17. 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 469-477, October.
    18. Saha, Atanu & Dong, Diangsheng, 1997. "Estimating Nested Count Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(3), pages 423-430, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yoder, Jonathan K. & Ohler, Adrienne M. & Chouinard, Hayley H., 2014. "What floats your boat? Preference revelation from lotteries over complex goods," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 412-430.
    2. Joseph M. Little & Kristine M. Grimsrud & Patricia A. Champ & Robert P. Berrens, 2006. "Investigation of Stated and Revealed Preferences for an Elk Hunting Raffle," Land Economics, University of Wisconsin Press, vol. 82(4), pages 623-640.
    3. Reeling, Carson & Verdier, Valentin & Lupi, Frank, 2016. "Valuing Natural Resources Allocated by Dynamic Lottery," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235673, Agricultural and Applied Economics Association.
    4. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    5. David O. Scrogin & Robert P. Berrens, 2003. "Rationed Access and Welfare: The Case of Public Resource Lotteries," Land Economics, University of Wisconsin Press, vol. 79(2), pages 137-148.
    6. Adrienne Ohler & Hayley Chouinard & Jonathan Yoder, 2014. "Interest group incentives for post-lottery trade restrictions," Journal of Regulatory Economics, Springer, vol. 45(3), pages 281-304, June.
    7. Matthew D. Mitchell, 2019. "Uncontestable favoritism," Public Choice, Springer, vol. 181(1), pages 167-190, October.
    8. Ohler, Adrienne & Chouinard, Hayley H. & Yoder, Jonathan K., 2007. "Welfare Trade-offs between Transferable and Non-Transferable Lotteries," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 7363, Western Agricultural Economics Association.

    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. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
    2. Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
    3. 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.
    4. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    5. Serge Garcia & Julien Jacob, 2010. "La valeur récréative de la forêt en France : une approche par les coûts de déplacement," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(1), pages 43-71.
    6. Bowker, James Michael & English, Donald B.K. & Bergstrom, John C. & Starbuck, C. Meghan, 2005. "Valuing National Forest Recreation Access: Using a Stratified On-Site Sample to Generate Values Across Activities for a Nationally Pooled Sample," 2005 Annual meeting, July 24-27, Providence, RI 19506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. David O. Scrogin & Robert P. Berrens, 2003. "Rationed Access and Welfare: The Case of Public Resource Lotteries," Land Economics, University of Wisconsin Press, vol. 79(2), pages 137-148.
    8. R. Martínez-Espiñeira, 2007. "‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(2), pages 335-360, June.
    9. Scrogin, David, 2005. "Lottery-rationed public access under alternative tariff arrangements: changes in quality, quantity, and expected utility," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 189-211, July.
    10. Yoder, Jonathan K. & Ohler, Adrienne M. & Chouinard, Hayley H., 2014. "What floats your boat? Preference revelation from lotteries over complex goods," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 412-430.
    11. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.
    12. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    13. Feinerman, Eli & Fleischer, Aliza & Simhon, Avi, 2004. "Distributional Welfare Impacts of Public Spending: The Case of Urban versus National Parks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(2), pages 1-17, August.
    14. Lundevaller, Erling Häggström, 2009. "The effect of travel cost on frequencies of shopping and recreational trips in Sweden," Journal of Transport Geography, Elsevier, vol. 17(3), pages 208-215.
    15. John Rolfe & Brenda Dyack, 2010. "Testing for convergent validity between travel cost and contingent valuation estimates of recreation values in the Coorong, Australia ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 583-599, October.
    16. Isabel Mendes & Isabel Proença, 2009. "Measuring the Social Recreation Per-Day Net Benefit of Wildlife Amenities of a National Park: A Count-Data Travel Cost Approach," Working Papers Department of Economics 2009/35, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    17. Aliza Fleischer & Yacov Tsur, 2003. "Measuring the Recreational Value of Open Space," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(2), pages 269-283, July.
    18. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
    19. Donato Romano & Riccardo Scarpa & Fiorenza Spalatro & Laura Viganò, 2000. "Modelling Determinants of Participation, Number of Trips and Site Choice for Outdoor Recreation in Protected Areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 224-238, May.
    20. Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.

    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:jlaare:30891. 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/waeaaea.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.