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Masaki Narukawa and Katsuhito Nohara
''Semiparametric estimation of on-stie count data models''
( 2011, Vol. 31 No.1 )
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
JEL: C2 - Single Equation Models; Single Variables: General
Q5 - Environmental Economics: General
Manuscript Received : Jul 26 2010 Manuscript Accepted : Feb 15 2011

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