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Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model

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  • Hynes, Stephen
  • Greene, William

Abstract

In this paper, we present an extension of Shaw’s (1988) and Englin and Shonkwiler’s (1995) count data travel cost models corrected for on-site sampling to a panel data setting. We develop a panel data negative binomial count data model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification which assumes that the observations are drawn from a finite number of segments, where the distributions differ in the intercept and the coefficients of the explanatory variables. Results of this model are compared to some of the more common modelling approached in the literature. The chosen models are applied to revealed and contingent travel data obtained from a survey of visitors to a beach on the outskirts of Galway city in Ireland. The paper argues that count data panel models corrected for on-site sampling may still be inadequate and potentially misleading if the population of interest is heterogeneous with respect to the impact of the chosen explanatory variables.

Suggested Citation

  • Hynes, Stephen & Greene, William, 2011. "Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model," Working Papers 135171, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
  • Handle: RePEc:ags:semrui:135171
    DOI: 10.22004/ag.econ.135171
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    1. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
    2. Wang, Peiming & Cockburn, Iain M & Puterman, Martin L, 1998. "Analysis of Patent Data--A Mixed-Poisson-Regression-Model Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 27-41, January.
    3. Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
    4. W. Douglass Shaw & Peter Feather, 1999. "Possibilities for Including the Opportunity Cost of Time in Recreation Demand Systems," Land Economics, University of Wisconsin Press, vol. 75(4), pages 592-602.
    5. 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.
    6. Beaumais, Olivier & Appéré, Gildas, 2010. "Recreational shellfish harvesting and health risks: A pseudo-panel approach combining revealed and stated preference data with correction for on-site sampling," Ecological Economics, Elsevier, vol. 69(12), pages 2315-2322, October.
    7. John Whitehead & Daniel Phaneuf & Christopher Dumas & Jim Herstine & Jeffery Hill & Bob Buerger, 2010. "Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 91-112, January.
    8. 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.
    9. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    10. 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.
    11. Christopher D. Azevedo & Joseph A. Herriges & Catherine L. Kling, 2003. "Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 525-537.
    12. Loomis, John B., 1997. "Panel Estimators To Combine Revealed And Stated Preference Dichotomous Choice Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-13, December.
    13. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.
    14. Cathal Buckley & Stephen Hynes & Tom van Rensburg & Edel Doherty, 2009. "Walking in the Irish countryside: landowner preferences and attitudes to improved public access provision," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(8), pages 1053-1070.
    15. Peiming Wang & Iain Cockburn & Martin L. Puterman, "undated". "A Mixed Poisson Regression Model for Analysis of Patent Data," Computing in Economics and Finance 1996 _049, Society for Computational Economics.
    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. Morey, Edward R., 1981. "The demand for site-specific recreational activities: A characteristics approach," Journal of Environmental Economics and Management, Elsevier, vol. 8(4), pages 345-371, December.
    18. Jeffrey Englin & Trudy Cameron, 1996. "Augmenting travel cost models with contingent behavior data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 133-147, March.
    19. 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.
    20. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    21. Hesseln, Hayley & Loomis, John B. & González-Cabán, Armando, 2004. "Comparing the economic effects of fire on hiking demand in Montana and Colorado," Journal of Forest Economics, Elsevier, vol. 10(1), pages 21-35, May.
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