Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data
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DOI: 10.1016/j.socscimed.2016.12.033
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Cited by:
- Frank A Cowell & Martyna Kobus & Radoslaw Kurek, 2017. "Welfare and Inequality Comparisons for Uni- and Multi-dimensional Distributions of Ordinal Data," STICERD - Public Economics Programme Discussion Papers 31, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- I. Josa & A. Aguado, 2020. "Measuring Unidimensional Inequality: Practical Framework for the Choice of an Appropriate Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 541-570, June.
- Paul Allanson, 2022. "Ordinal health disparities between population subgroups: measurement and multivariate analysis with an application to the North-South divide in England," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 841-860, December.
- Paul Allanson & Richard Cookson, 2022. "Comparing healthcare quality: A common framework for both ordinal and cardinal data with an application to primary care variation in England," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2593-2608, December.
- Valérie Bérenger & Jacques Silber, 2022. "On the Measurement of Happiness and of its Inequality," Journal of Happiness Studies, Springer, vol. 23(3), pages 861-902, March.
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More about this item
Keywords
Headcount index; Income-related health stratification; Regional analysis; Ordinal data;All these keywords.
JEL classification:
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
Statistics
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