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.
Original language | English |
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Pages (from-to) | 584-590 |
Number of pages | 7 |
Journal | Economics Bulletin |
Volume | 31 |
Issue number | 1 |
Publication status | Published - Mar 11 2011 |
Externally published | Yes |
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)