ON BASELINE CONDITIONS FOR ZERO-INFLATED LONGITUDINAL COUNT DATA
Antonello Maruotti () and
Additional contact information
Valentina Raponi: University of Rome La Sapienza
No 212, Working Papers from CREI Università degli Studi Roma Tre
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
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://host.uniroma3.it/centri/crei/pubblicazioni/ ... 012/CREI_02_2012.pdf First version, 2012 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:rcr:wpaper:02_12
Access Statistics for this paper
More papers in Working Papers from CREI Università degli Studi Roma Tre Contact information at EDIRC.
Bibliographic data for series maintained by Francesca Vaino ().