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Antonello Maruotti () and Valentina Raponi
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Valentina Raponi: University of Rome La Sapienza

No 212, Working Papers from CREI Università degli Studi Roma Tre

Abstract: We describe a mixed-effects hurdle model for zero-inflated longitudinal count data, where a baseline variable is included in the model specification. Association between the count data process and the endogenous baseline variable is modeled through a latent structure, assumed to be dependent across equations. We show how model parameters can be estimated in a fnite mixture context, allowing for overdispersion, multivariate association and endogeneity of the baseline variable. The model behavior is investigated through a large scale simulation experiment. An empirical example on health care utilization data is provided.

Keywords: Hurdle; model; -; Baseline; conditions; -; Longitudinal; count; data; -; Zero-inflation. (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
Date: 2012, Revised 2012
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