AI Article Synopsis
- This paper presents the mean deviation concentration curve as a new graphical tool for analyzing socioeconomic health inequality.
- It establishes dominance conditions that determine robust rankings of health inequality, taking into account established principles in health economics.
- The authors also provide methods for conducting statistical tests to apply these findings to survey data, demonstrated through an empirical analysis of income and health behaviors in the United States.
Article Abstract
This paper introduces a new graphical tool: the mean deviation concentration curve. Using a unified approach, we derive the associated dominance conditions that identify robust rankings of absolute socioeconomic health inequality for all indices obeying Bleichrodt and van Doorslaer's (J Health Econ 25:945-957, 2006) principle of income-related health transfer. We also derive dominance conditions that are compatible with other transfer principles available in the literature. To make the identification of all robust orderings implementable using survey data, we discuss statistical inference for these dominance tests. To illustrate the empirical relevance of the proposed approach, we compare joint distributions of income and health-related behavior in the United States.
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| http://dx.doi.org/10.1007/s10198-022-01448-8 | DOI Listing |
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