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

Markus Jochmann

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

Markus Jochmann

Economics

Research output: Working paper › Discussion paper

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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.

Original language	English
Place of Publication	Glasgow
Publisher	University of Strathclyde
Pages	1-20
Number of pages	21
Volume	04
Publication status	Published - Oct 2009

Keywords

bayesian
model selection
model averaging
count data
zero-inflation
demand for health care

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Jochmann-2009-Zero-inflated-count-models-with-an-application-to-the-demand-for-health-careFinal published version, 258 KB

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title = "What 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-inflatedcount models which are commonly used in health economics. This allows foreither model averaging or model selection in situations with many potentialregressors. The proposed techniques are applied to a data set from Germanyconsidering the demand for health care. A package for the free statistical software environment R is provided.",

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PY - 2009/10

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N2 - This paper develops stochastic search variable selection (SSVS) for zero-inflatedcount models which are commonly used in health economics. This allows foreither model averaging or model selection in situations with many potentialregressors. The proposed techniques are applied to a data set from Germanyconsidering the demand for health care. A package for the free statistical software environment R is provided.

AB - This paper develops stochastic search variable selection (SSVS) for zero-inflatedcount models which are commonly used in health economics. This allows foreither model averaging or model selection in situations with many potentialregressors. The proposed techniques are applied to a data set from Germanyconsidering the demand for health care. A package for the free statistical software environment R is provided.

KW - bayesian

KW - model selection

KW - model averaging

KW - count data

KW - zero-inflation

KW - demand for health care

M3 - Discussion paper

VL - 04

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EP - 20

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

PB - University of Strathclyde

CY - Glasgow

ER -

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

Abstract

Keywords

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