Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42917
Title: The mixture poisson exponential-inverse gaussian regression model: An application in health services
Authors: Gómez Déniz, Emilio 
Calderín Ojeda, Enrique
UNESCO Clasification: 1207 Investigación operativa
Keywords: Modelos econométricos
Salud pública
Issue Date: 2016
Publisher: 1854-0023
Journal: Metodoloski Zvezki 
Abstract: In this paper a mixed Poisson regression model for count data is introduced. This model is derived by mixing the Poisson distribution with the one-parameter continuous exponential-inverse Gaussian distribution. The obtained probability mass function is over-dispersed and unimodal with modal value located at zero. Estimation is performed by maximum likelihood. As an application, the demand for health services among people 65 and over is examined using this regression model since empirical evidence has suggested that the over-dispersion and a large portion of non-users are common features of medical care utilization data.
URI: http://hdl.handle.net/10553/42917
ISSN: 1854-0023
Source: Metodoloski Zvezki[ISSN 1854-0023],v. 13, p. 71-85
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