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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.

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Bibliographic Info

Paper provided by Socio-Economic Marine Research Unit, National University of Ireland, Galway in its series Working Papers with number 135171.

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Date of creation: 2011
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Handle: RePEc:ags:semrui:135171

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Web page: http://www.nuigalway.ie/semru/index.html
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Keywords: Demand and Price Analysis; Environmental Economics and Policy; Land Economics/Use;

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  1. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  2. Jeffrey Englin & Trudy Cameron, 1996. "Augmenting travel cost models with contingent behavior data," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 7(2), pages 133-147, March.
  3. 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.
  4. 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.
  5. 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.
  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. 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 - School of Economics and Management, Department of Economics, University of Lisbon.
  8. 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.
  9. 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 104-12, February.
  10. 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.
  11. John C. Whitehead & Daniel Phaneuf & Christopher F. Dumas & Jim Herstine & Jeffrey Hill & Bob Buerger, 2007. "Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands," Working Papers 07-17, Department of Economics, Appalachian State University, revised 2008.
  12. 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.
  13. 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.
  14. 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.
  15. 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(02), December.
  16. 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.
  17. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  18. Klaus Moeltner & J. Scott Shonkweiler, 2007. "Intercept and Recall: Examining Avidity Carryover in On-Site Collected Travel Data," Working Papers 07-014, University of Nevada, Reno, Department of Economics & University of Nevada, Reno , Department of Resource Economics.
  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, EconWPA.
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