Goodness-of-fit Techniques for Count Data Models: An Application to the Demand for Den

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dc.contributor.author Delgado, Miguel A.
dc.contributor.author Álvarez, Begoña
dc.date.accessioned 2009-05-04T11:06:42Z
dc.date.available 2009-05-04T11:06:42Z
dc.date.issued 2002
dc.identifier.bibliographicCitation Empirical Economics. 2002, vol. 27, nº. 3, p. 543-567
dc.identifier.issn 1435-8921
dc.identifier.uri http://hdl.handle.net/10016/2488
dc.description.abstract This paper compares the practical performance of alternative goodness-of-fit techniques for count data models in the context of a study of the determinants of demand for dental care in Spain. We apply alternative goodness-of-fit techniques to different specifications. In particular, we implement recently proposed specification tests which are consistent in the direction of general nonparametric alternatives. The analysis suggests that a negative binomial model is an appropriate specification for dental care demand. Dental health and income are identified as important predictors of individuals' behavior.
dc.format.mimetype text/plain
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.publisher Springer
dc.rights © Springer
dc.subject.other Poisson regression
dc.subject.other negative binomial regression
dc.subject.other hurdle model
dc.subject.other specification tests
dc.subject.other dental care
dc.title Goodness-of-fit Techniques for Count Data Models: An Application to the Demand for Den
dc.type article
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1007/s001810100095
dc.subject.eciencia Economía
dc.identifier.doi 10.1007/s001810100095
dc.rights.accessRights openAccess
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