What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care
Jochmann, Markus (2009) What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care. Discussion paper. University of Strathclyde, Glasgow.
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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.
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Item type: Monograph(Discussion paper) ID code: 67790 Dates: DateEventOctober 2009PublishedNotes: Published as a paper within the Discussion Papers in Economics, No. 09-23 (2009) Keywords: bayesian, model selection, model averaging, count data, zero-inflation, demand for health care, Economic Theory, Public health. Hygiene. Preventive Medicine, Regional economics. Space in economics, Economics, Econometrics and Finance(all), Public Health, Environmental and Occupational Health Subjects: Social Sciences > Economic Theory
Medicine > Public aspects of medicine > Public health. Hygiene. Preventive Medicine
Social Sciences > Communities. Classes. Races > Regional economics. Space in economicsDepartment: Strathclyde Business School > Economics Depositing user: Pure Administrator Date deposited: 14 May 2019 09:46 Last modified: 18 Jan 2023 12:49 URI: https://strathprints.strath.ac.uk/id/eprint/67790
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