Semiparametric estimation of on-stie count data models
AbstractThis 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.
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Bibliographic InfoArticle provided by AccessEcon in its journal Economics Bulletin.
Volume (Year): 31 (2011)
Issue (Month): 1 ()
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On-site sampling; Semiparametric estimation; Series expansion; Unobserved heterogeneity;
Find related papers by JEL classification:
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
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- Santos Silva, J. M. C., 1997. "Unobservables in count data models for on-site samples," Economics Letters, Elsevier, vol. 54(3), pages 217-220, July.
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