A Semiparametric Bayesian Approach to a New Dynamic Zero-Inflated Model

Kiranmoy Das (), Bhuvanesh Pareek (), Sarah Brown () and Pulak Ghosh ()
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Kiranmoy Das: Indian Statistical Institute
Bhuvanesh Pareek: Indian Institute of Management
Pulak Ghosh: Department of Decision Sciences and Information Systems, Indian Institute of Management

No 2017001, Working Papers from The University of Sheffield, Department of Economics

Abstract: We develop a dynamic zero-inflated model to analyse the number of hospital admissions within an aging population, which allows for the considerable number of zero hospital admissions at the individual level and occurrence dependence. In addition, certain health conditions may lead to groups of individuals having similar hospital admission rates. We analyse the US Health and Retirement Survey, which includes selfassessed health (SAH), which can be predictive of hospital admissions. Our modelling framework embeds a dynamic hierarchical matrix stick-breaking process to flexibly characterize this dynamic group structure allowing individuals to belong to different SAH groups at different points in time.

Keywords: Bayesian models; Dirichlet process; Dynamic hurdle; Lasso; Matrix stickbreaking process; Zero-inflated data. (search for similar items in EconPapers)
JEL-codes: C11 C14 I12 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2017-01
New Economics Papers: this item is included in nep-age, nep-ecm and nep-ore
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