Latent class models for utilisation of health care

Teresa Bago d’Uva
Authors registered in the RePEc Author Service: Teresa Bago d'Uva

Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York

Abstract: This paper explores different approaches to econometric modelling of count measures of health care utilisation, with an emphasis on latent class models. A new model is proposed that combines the features of the two most common approaches- the hurdle model and the finite mixture Negative Binomial. Additionally, the panel structure of the data is taken into account. The proposed model is shown to perform better than the existing models for a particular application with data from the RAND Health Insurance Experiment.

Date: 2005-06
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Citations: View citations in EconPapers (2)

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Journal Article: Latent class models for utilisation of health care (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:yor:hectdg:05/01

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