What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care

Authors:
Markus Jochmann
Affiliations:
Newcastle University, Newcastle upon Tyne, UK
Venue:
Computational Statistics
Year:
2013

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Abstract

This paper develops a Bayesian spike and slab model for zero-inflated count models which are commonly used in health economics. We account for model uncertainty and allow for model averaging in situations with many potential regressors. The proposed techniques are applied to a German data set analyzing the demand for health care. An accompanying package for the free statistical software environment R is provided.