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

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URI: https://hdl.handle.net/10016/2488
ISSN: 1435-8921
DOI: 10.1007/s001810100095
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Goodness_EE_2002.pdf (387.98 KB)
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2002
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Springer
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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.
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Poisson regression, negative binomial regression, hurdle model, specification tests, dental care
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Empirical Economics. 2002, vol. 27, nº. 3, p. 543-567
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