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.
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Technical Article No. 30216 of the Texas Agricultural Experiment Station, Texas A&M University System, College Station, Texas.
The authors are grateful to Lonnie L. Jones and Badi Baltagi for their helpful comments and to John R. Stoll for providing the data for the empirical illustration. The authors also wish to thank two anonymous referees for constructive comments on earlier drafts of this article.
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Ozuna, T., Gomez, I.A. Specification and testing of count data recreation demand functions. Empirical Economics 20, 543–550 (1995). https://doi.org/10.1007/BF01180682
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DOI: https://doi.org/10.1007/BF01180682