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The Measurement of Health Inequalities: Does Status Matter?

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  • Joan Costa-i-Font
  • Frank Cowell

Abstract

The measurement of health inequalities usually involves either estimating the concentration of health outcomes using an income-based measure of status or applying conventional inequality-measurement tools to a health variable that is non-continuous or, in many cases, categorical. However, these approaches are problematic as they ignore less restrictive approaches to status. The approach in this paper is based on measuring inequality conditional on an individual’s position in the distribution of health outcomes: this enables us to deal consistently with categorical data. We examine several status concepts to examine self-assessed health inequality using the sample of world countries contained in the World Health Survey. We also perform correlation and regression analysis on the determinants of inequality estimates assuming an arbitrary cardinalisation. Our findings indicate major heterogeneity in health inequality estimates depending on the status approach, distributional-sensitivity parameter and measure adopted. We find evidence that pure health inequalities vary with median health status alongside measures of government quality.

Suggested Citation

  • Joan Costa-i-Font & Frank Cowell, 2016. "The Measurement of Health Inequalities: Does Status Matter?," CESifo Working Paper Series 6117, CESifo.
  • Handle: RePEc:ces:ceswps:_6117
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The Measurement of Health Inequalities: Does Status Matter?
      by maximorossi in NEP-LTV blog on 2019-08-22 20:27:34

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    Cited by:

    1. Costa-Font, Joan & Knust, Niklas, 2023. "Does exposure to democracy decrease health inequality?," LSE Research Online Documents on Economics 119444, London School of Economics and Political Science, LSE Library.
    2. Joan Costa-Font & Frank A. Cowell, 2022. "The measurement of health inequalities: does status matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 299-325, June.
    3. Costa-Font, Joan & Cowell, Frank & Shi, Xuezhu, 2024. "Health inequality and health insurance coverage: The United States and China compared," Economics & Human Biology, Elsevier, vol. 52(C).
    4. Joan Costa-Font & Frank Cowell & Xuezhu Shi & Joan Costa-i-Font, 2023. "Health Inequality and Health Insurance Coverage: The United States and China Compared," CESifo Working Paper Series 10807, CESifo.
    5. Joan Costa‐Font & Frank A. Cowell & Belen Saenz de Miera, 2021. "Measuring pure health inequality and mobility during a health insurance expansion: Evidence from Mexico," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1833-1848, August.

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    More about this item

    Keywords

    health inequality; categorical data; entropy measures; health surveys; upward status; downward status;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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