Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring with data on self-reported health status. Procedures for computing probabilities for first and second order stochastic dominance and equality or S-dominance are described, along with methodology for obtaining posterior densities for health inequality indices. The techniques are applied to four years of data on Australian self-reported health status."

David Gunawan, William Griffths () and Duangkamon Chotikapanich
Additional contact information
David Gunawan: University of New South Wales
William Griffths: Department of Economics, The University of Melbourne, https://www.findanexpert.unimelb.edu.au/display/person7036
Duangkamon Chotikapanich: Monash University

Department of Economics - Working Papers Series from The University of Melbourne

Keywords: Dominance probabilities; ordinal data; inequality indices. (search for similar items in EconPapers)
JEL-codes: C11 I14 I31 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2017-06
New Economics Papers: this item is included in nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://fbe.unimelb.edu.au/__data/assets/pdf_file/0 ... ominanceJune2017.pdf (application/pdf)

Related works:
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:mlb:wpaper:2031

Access Statistics for this paper

More papers in Department of Economics - Working Papers Series from The University of Melbourne Department of Economics, The University of Melbourne, 4th Floor, FBE Building, Level 4, 111 Barry Street. Victoria, 3010, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Dandapani Lokanathan ().