Bayesian inference for health inequality and welfare using qualitative data

David Gunawan, William E. Griffiths, Duangkamon Chotikapanich

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)


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 S-dominance are described, along with methodology for obtaining posterior densities for health inequality indexes. The techniques are applied to four years of data on Australian self-reported health status.

Original languageEnglish
Pages (from-to)76-80
Number of pages5
JournalEconomics Letters
Publication statusPublished - 1 Jan 2018


  • Dominance probabilities
  • Inequality indexes
  • Ordinal data

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