Template-Type: ReDIF-Paper 1.0
Author-Name: Markus Jochmann
Author-Name-First: Markus
Author-Name-Last: Jochmann
Author-Email: markus.jochmann@strath.ac.uk
Author-Workplace-Name: Department of Economics, University of Strathclyde
Title: What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care
Abstract: t Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care
Abstract:  This paper develops stochastic search variable selection (SSVS) for zero-inflated count models which are commonly used in health economics. This allows for
either model averaging or model selection in situations with many potential regressors. The proposed techniques are applied to a data set from Germany
considering the demand for health care. A package for the free statistical software environment R is provided.
Length: 21 pages
Creation-Date: 2009-10
Revision-Date: 
Publication-Status: 
File-URL:  http://www.strath.ac.uk/media/1newwebsite/departmentsubject/economics/research/researchdiscussionpapers/2009/09-23.pdf
File-Format: Application/pdf
Number: 0923
Classification-JEL: C11, C25, I11
Keywords: Bayesian, model selection, model averaging, count data, zero-inflation, demand for health care
Handle: RePEc:str:wpaper:0923