What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care

Markus Jochmann ()

No 2009-54, SIRE Discussion Papers from Scottish Institute for Research in Economics (SIRE)

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.

Keywords: Bayesian; model selection; model averaging; count data; zero-in ation; demand for health care (search for similar items in EconPapers)
Date: 2009
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http://hdl.handle.net/10943/81
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Related works:
Journal Article: What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care (2013)
Working Paper: What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care (2009)
Working Paper: What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:edn:sirdps:81

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