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Hurdle Count-Data Models In Recreation Demand Analysis

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  • Shonkwiler, John Scott
  • Shaw, W. Douglass

Abstract

When a sample of recreators is drawn from the general population using a survey, many in the sample will not recreate at a recreation site of interest. This study focuses on nonparticipation in recreation demand modeling and the use of modified count-data models. We clarify the meaning of the single-hurdle Poisson (SHP) model and derive the double-hurdle Poisson (DHP) model. The latter is contrasted with the SHP and we show the DHP is consistent with Johnson and Kotz's zero-modified Poisson model.

Suggested Citation

  • Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December.
  • Handle: RePEc:ags:jlaare:31027
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    File URL: http://purl.umn.edu/31027
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    1. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    2. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    3. 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.
    4. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    5. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    6. George R. Parsons & Michael S. Needelman, 1992. "Site Aggregation in a Random Utility Model of Recreation," Land Economics, University of Wisconsin Press, vol. 68(4), pages 418-433.
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    Citations

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    Cited by:

    1. 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.
    2. Shaw, W. Douglass & Jakus, Paul M., 1996. "Travel Cost Models Of The Demand For Rock Climbing," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), October.
    3. Bilgic, Abdulbaki & Florkowski, Wojciech J., 2003. "Application Of Hurdle Negative Binomial Count Data Model To Demand For Black Bass Fishing In The Southeastern United States," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35079, Southern Agricultural Economics Association.
    4. 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.
    5. Lambert, Dayton M. & English, Burton C. & Harper, David C. & Larkin, Sherry L. & Larson, James A. & Mooney, Daniel F. & Roberts, Roland K. & Velandia, Margarita & Reeves, Jeanne M., 2014. "Adoption and Frequency of Precision Soil Testing in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), April.
    6. Nick Hanley & Gary Koop & Begoña Álvarez-Farizo & Robert E. Wright & Ceara Nevin, 2001. "Go climb a mountain: an application of recreation demand modelling to rock climbing in Scotland," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 36-52.
    7. Jakus, Paul M. & Dowell, Paula & Murray, Matthew N., 2000. "The Effect Of Fluctuating Water Levels On Reservoir Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
    8. 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.
    9. Hoyos, David & Riera, Pere, 2013. "Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country, Spain," Journal of Forest Economics, Elsevier, vol. 19(3), pages 234-248.
    10. Jiang, Yuan & Kim, Hyeyoung & House, Lisa & Percival, Susan S., 2016. "Zero inflated ordered probit approach to modeling mushroom consumption in the US," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236007, Agricultural and Applied Economics Association.
    11. Harris, Thomas R. & Yen, Steven T. & Deller, Steven C., 2000. "Estimation Of Minimum Demand Thresholds: An Application Of Count Data Procedures With The Existence Of Excess Zero Observations," 2000 Annual meeting, July 30-August 2, Tampa, FL 21849, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Fabio Sigrist & Werner A. Stahel, 2010. "Using The Censored Gamma Distribution for Modeling Fractional Response Variables with an Application to Loss Given Default," Papers 1011.1796, arXiv.org, revised May 2012.
    13. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    14. Roger Haefen, 2008. "Latent Consideration Sets and Continuous Demand Systems," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 363-379, November.
    15. Jiang, Yuan & House, Lisa & Tejera, Christian & Percival, Susan S., 2015. "Consumption of Mushrooms: A double-hurdle Approach," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196902, Southern Agricultural Economics Association.
    16. Meisner, Craig & Wang, Hua & Laplante, Benoit, 2006. "Welfare measurement bias in household and on-site surveying of water-based recreation : an application to Lake Sevan, Armenia," Policy Research Working Paper Series 3932, The World Bank.
    17. von Haefen, Roger H. & Adamowicz, Wiktor L., 2003. "Not Playing The Game: Non-Particpation In Repeated Discrete Choice Models," 2003 Annual meeting, July 27-30, Montreal, Canada 22037, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Brown, Zachary S. & Dickinson, Katherine L. & Paskewitz, Susan, 2015. "A generalized latent class logit model of discontinuous preferences in repeated discrete choice data: an application to mosquito control in Madison, Wisconsin," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205613, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    19. Pruitt, J. Ross & Tilley, Daniel S., 2008. "Location Patterns of Confectionery Manufacturers in a Post NAFTA Environment," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6802, Southern Agricultural Economics Association.
    20. Elizabeth Fadali & W. Douglass Shaw, 1998. "Can Recreation Values For A Lake Constitute A Market For Banked Agricultural Water?," Contemporary Economic Policy, Western Economic Association International, vol. 16(4), pages 433-441, October.
    21. 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, EconWPA.
    22. Murray Smith, 2003. "On dependency in double-hurdle models," Statistical Papers, Springer, vol. 44(4), pages 581-595, October.

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