Latent class models for utilisation of health care
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 of creation:||Jun 2005|
|Date of revision:|
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