Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables
AbstractIn this paper, we examine heterogeneity in the trip preferences of recreationists by applying a random parameters negative binomial model and a latent class negative binomial model to a panel data set of beach users at a site on the west coast of Ireland. This is the first such attempt in the literature to account for heterogeneity with respect to the impact of the chosen explanatory variables in contingent behaviour travel cost models of demand where the researcher also must account for the fact that the sample data has been collected on-site. The analysis also develops individual consumer surplus estimates and finds that estimates are systematically affected by both the random parameter and latent class specifications. There is also evidence that accounting for individual heterogeneity improves the statistical fit of the models and provides a more informative description of the drivers of recreationalist trip behaviour.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Socio-Economic Marine Research Unit, National University of Ireland, Galway in its series Working Papers with number 148834.
Date of creation: 2012
Date of revision:
Contingent behaviour; travel cost; count data; heterogeneity; latent class; random parameter; endogenous stratification; truncation; negative binomial; consumer surplus; Environmental Economics and Policy; Research Methods/ Statistical Methods;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-05-24 (All new papers)
- NEP-DCM-2013-05-24 (Discrete Choice Models)
- NEP-TRE-2013-05-24 (Transport Economics)
- NEP-TUR-2013-05-24 (Tourism Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
- 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.
- 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.
- John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2005.
"Combining Revealed and Stated Preference Data to Estimate the Nonmarket Value of Ecological Services: An Assessment of the State of the Science,"
05-19, Department of Economics, Appalachian State University, revised 2007.
- 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.
- Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
- 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.
- Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
- Nick Hanley & Begona Alvarez-Farizo, .
"Valuing the Benefits of Coastal Water Quality Improvements using Contingent and Real Behaviour,"
2002_9, Business School - Economics, University of Glasgow, revised Sep 2002.
- Nick Hanley & David Bell & Begona Alvarez-Farizo, 2003. "Valuing the Benefits of Coastal Water Quality Improvements Using Contingent and Real Behaviour," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 24(3), pages 273-285, March.
- Christie, Michael & Hanley, Nick & Hynes, Stephen, 2007. "Valuing enhancements to forest recreation using choice experiment and contingent behaviour methods," Journal of Forest Economics, Elsevier, vol. 13(2-3), pages 75-102, August.
- 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.
- Egan, Kevin J. & Herriges, Joseph A., 2006.
"Multivariate Count Data Regression Models with Individual Panel Data from an On-Site Sample,"
Staff General Research Papers
12573, Iowa State University, Department of Economics.
- Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
- Holmes, Thomas P. & Englin, Jeffrey E., 2010. "Preference Heterogeneity in a Count Data Model of Demand for Off-Highway Vehicle Recreation," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(1), February.
- 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.
- Kenneth A. Baerenklau, 2010. "A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 86(4), pages 800-816.
- Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
- Riccardo Scarpa & Mara Thiene & Tiziano Tempesta, 2007. "Latent class count models of total visitation demand: days out hiking in the eastern Alps," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 38(4), pages 447-460, December.
- Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.