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Measuring health inequality with categorical data: some regional patterns

Costa-Font, Joan ORCID: 0000-0001-7174-7919 and Cowell, Frank ORCID: 0000-0002-3778-2152 (2013) Measuring health inequality with categorical data: some regional patterns. Research on Economic Inequality, 21. pp. 53-76. ISSN 1049-2585

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Identification Number: 10.1108/S1049-2585(2013)0000021004

Abstract

Much of the theoretical literature on inequality assumes that the equalisand is a cardinal variable like income or wealth. However, health status is generally measured as a categorical variable expressing a qualitative order. Traditional solutions involve reclassifying the variable by means of qualitative models and relying on inequality measures that are mean independent. We argue that the way status is conceptualised has important theoretical implications for measurement as well as for policy analysis. We also bring to the data a recently proposed approach to measuring self-reported health inequality that meets both rigorous and practical considerations. We draw upon the World Health Survey data to examine alternative pragmatic methods for making health-inequality comparisons. Findings suggest significant differences in health-inequality measurement and that regional and country patterns of inequality orderings do not coincide with any reasonable categorisation of countries by health system organisation.

Item Type: Article
Official URL: http://www.emeraldinsight.com/index.htm
Additional Information: © 2013 Emerald Group Publishing Limited
Divisions: Economics
Social Policy
Centre for Economic Performance
STICERD
Centre for Analysis of Social Exclusion
LSE Health
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HV Social pathology. Social and public welfare. Criminology
R Medicine > RA Public aspects of medicine
Date Deposited: 18 Dec 2013 10:04
Last Modified: 12 Dec 2024 00:28
URI: http://eprints.lse.ac.uk/id/eprint/55004

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