Semiparametric estimation of on-stie count data models

Masaki Narukawa () and Katsuhito Nohara
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Masaki Narukawa: Tohoku University

Economics Bulletin, 2011, vol. 31, issue 1, 584-590

Abstract: This article proposes semiparametric estimation of on-site count data models based on a series expansion approach of Gurmu, Rilstone and Stern (1999, Journal of Econometrics 88, 123-150), which is flexible and adaptable for a form of overdispersion as long as the exponential mean parameterization is given. We also provide the empirical illustration of demand for a recreation site. The result suggests that the existing parametric approaches will cause wrong statistical inference for the on-site count data.

Keywords: On-site sampling; Semiparametric estimation; Series expansion; Unobserved heterogeneity (search for similar items in EconPapers)
JEL-codes: C2 Q5 (search for similar items in EconPapers)
Date: 2011-02-15
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Citations: View citations in EconPapers (1)

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