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Semiparametric estimation of on-stie count data models

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  • Masaki Narukawa

    ()
    (Tohoku University)

  • Katsuhito Nohara

    ()
    (Tohoku University)

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    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.

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    File URL: http://www.accessecon.com/Pubs/EB/2011/Volume31/EB-11-V31-I1-P56.pdf
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    Bibliographic Info

    Article provided by AccessEcon in its journal Economics Bulletin.

    Volume (Year): 31 (2011)
    Issue (Month): 1 ()
    Pages: 584-590

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    Handle: RePEc:ebl:ecbull:eb-10-00463

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    Related research

    Keywords: On-site sampling; Semiparametric estimation; Series expansion; Unobserved heterogeneity;

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    1. 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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