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Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park

Author

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  • Roberto Martinez-Espineira

    (St Francis Xavier University)

  • Joe Amoako-Tuffour

    (St Francis Xavier University)

Abstract

Using on-site survey data from Gros Morne National Park in Newfoundland, this paper estimates and compares several truncated count data models of recreation demand. The model that not only accounts for the truncated and overdispersed nature of the data but also for endogenous stratification duet o the oversampling of avid users, while allowing for flexible specification of the overdispersion parameter dominates on the basis of goodness of fit. The results are used to estimate the users’ value of access to the park.

Suggested Citation

  • 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.
  • Handle: RePEc:wpa:wuwpem:0511007
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    References listed on IDEAS

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    Cited by:

    1. Morrissey, Karyn & Moran, Caroline, 2011. "The Non-Market Value of Water Based Activities in the West of Ireland," Working Papers 148922, Socio-Economic Marine Research Unit, National University of Ireland, Galway.
    2. Grilli, Gianluca & Curtis, John & Hynes, Stephen & O’Reilly, Paul, 2018. "Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort," Ecological Economics, Elsevier, vol. 149(C), pages 285-293.
    3. 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 148925, Socio-Economic Marine Research Unit, National University of Ireland, Galway.
    4. Bénédicte Rulleau & Jeoffrey Dehez & Patrick Point, 2011. "The tourist recreational demand for coastal forests: Do forests really matter?," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 92(3), pages 291-310.
    5. Mahadev Bhat & Ramachandra Bhatta & Mohamed Shumais, 2014. "Sustainable funding policies for environmental protection: the case of Maldivian atolls," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 45-67, January.
    6. Rolfe, John & Dyack, Brenda, 2010. "Testing for convergent validity between travel cost and contingent valuation estimates of recreation values in the Coorong, Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 0(Issue 4), pages 1-17.
    7. Mario Du Preez & Deborah Ellen Lee & Stephen Gerald Hosking, 2011. "The recreational value of beaches in the Nelson Mandela Bay area, South Africa," Working Papers 239, Economic Research Southern Africa.
    8. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    9. 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.
    10. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, Socio-Economic Marine Research Unit, National University of Ireland, Galway.
    11. Richard Melstrom, 2014. "Valuing historic battlefields: an application of the travel cost method to three American Civil War battlefields," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(3), pages 223-236, August.
    12. 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.
    13. Kim, Seung Gyu & Bowker, James Michael & Cho, Seong-Hoon & Lambert, Dayton M. & English, Donald B.K. & Starbuck, C. Meghan, 2010. "Estimating Travel Cost Model: Spatial Approach," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61774, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    on-site sampling; endogenous stratification; consumer surplus; count data; overdispersion; recreation demand; travel cost method; truncation.;

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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