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Specification and testing of count data recreation demand functions
Authors:Teofilo Ozuna Jr  Irma Adriana Gomez
Institution:1. Department of Agricultural Economics, Texas A&M University College Station, 77843-2124, TX, USA
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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