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Specification and Testing of Count Data Recreation Demand Functions

Author

Listed:
  • Ozuna, Teofilo, Jr
  • Gomez, Irma Adriana

Abstract

This article examines the effects of alternative formulations of count data recreation demand models on parameter estimates, model selection, and consumer surplus. The results indicate that large parameter and consumer surplus differences exists across the various count model formulations. More importantly, the results show that distributional assumptions, heteroscedastic functional forms, and overdispersion can have a substantial effect on consumer surplus estimates.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:empeco:v:20:y:1995:i:3:p:543-50
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    Citations

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    Cited by:

    1. 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.
    2. Margarita E. Romero Rodríguez & Enrique Los Arcos & Victor Cano Fernández & Miguel Sánchez Padrón, 2001. "Modelo para datos de recuentro de corte transversal con exceso de ceros. Aplicación a citas patentes," Documentos de trabajo conjunto ULL-ULPGC 2001-05, Facultad de Ciencias Económicas de la ULPGC.
    3. Joaquín Alegre & Sara Mateo & Llorenç Pou, 2009. "Participation in Tourism Consumption and the Intensity of Participation: An Analysis of Their Socio-Demographic and Economic Determinants," Tourism Economics, , vol. 15(3), pages 531-546, September.
    4. Richard T. Woodward & Dhazn Gillig & Wade L. Griffin & Teofilo Ozuna, Jr., 2001. "The Welfare Impacts of Unanticipated Trip Limitations in Travel Cost Models," Land Economics, University of Wisconsin Press, vol. 77(3), pages 327-338.
    5. 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).
    6. 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.
    7. Moritz Berger & Gerhard Tutz, 2021. "Transition models for count data: a flexible alternative to fixed distribution models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1259-1283, October.
    8. 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.
    9. Joaquín Alegre & Llorenç Pou, 2006. "An Analysis of the Microeconomic Determinants of Travel Frequency," DEA Working Papers 18, Universitat de les Illes Balears, Departament d'Economía Aplicada.

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