What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care

Markus Jochmann ()

Computational Statistics, 2013, vol. 28, issue 5, 1947-1964

Abstract: This paper develops a Bayesian spike and slab model for zero-inflated count models which are commonly used in health economics. We account for model uncertainty and allow for model averaging in situations with many potential regressors. The proposed techniques are applied to a German data set analyzing the demand for health care. An accompanying package for the free statistical software environment R is provided. Copyright Springer-Verlag Berlin Heidelberg 2013

Keywords: Bayesian; Spike and slab model; Model uncertainty; Model averaging; Count data; Zero-inflation; Demand for health care; C11; C25; I11 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00180-012-0388-z (text/html)
Access to full text is restricted to subscribers.

Related works:
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)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:28:y:2013:i:5:p:1947-1964

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-012-0388-z

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().