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 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 language | English |
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Pages (from-to) | 76-80 |
Number of pages | 5 |
Journal | Economics Letters |
Volume | 162 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Keywords
- Dominance probabilities
- Inequality indexes
- Ordinal data