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Preference Heterogeneity in a Count Data Model of Demand for Off-Highway Vehicle Recreation

Author

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  • Holmes, Thomas P.
  • Englin, Jeffrey E.

Abstract

This paper examines heterogeneity in the preferences for OHV recreation by applying the random parameters Poisson model to a data set of off-highway vehicle (OHV) users at four National Forest sites in North Carolina. The analysis develops estimates of individual consumer surplus and finds that estimates are systematically affected by the random parameter specification. There is also substantial evidence that accounting for individual heterogeneity improves the statistical fit of the models and provides a more informative description of OHV riders.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:arerjl:59334
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    File URL: http://purl.umn.edu/59334
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    Cited by:

    1. Stephen Hynes & William Greene, 2016. "Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 348-367, June.
    2. 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.
    3. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.

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