What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care
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.
zero-inflation demand for health care bayesian spike and slab model model uncertainty model averaging count data c11 c25 i11