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What Kind of Inequality Do You Prefer? Evaluating Measures of Income and Health Inequality Using Choice Experiments

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When measuring inequality using conventional inequality measures, ethical assumptions about distributional preferences are often implicitly made. In this paper, we ask whether the ethical assumptions underlying the concentration index for income-related inequality in health and the Gini index for income inequality are supported in a representative sample of the Swedish population using an internet-based survey. We find that the median subject has preferences regarding income-related inequality in health that are in line with the ethical assumptions implied by the concentration index, but put higher weight on the poor than what is implied by the Gini index of income inequality. We find that women and individuals with a poorer health status put higher weight on the poor than men and healthier individuals. Ethically flexible inequality measures, such as the s-Gini index and the extended concentration index, imply that researchers have to choose from a toolbox of infinitely many inequality indices. The results of this paper are indicative of which indices (i.e. which parameter values) reflect the views of the population regarding how inequality should be defined.

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  • Hardardottir, Hjördis & Gerdtham, Ulf-G. & Wengström, Erik, 2019. "What Kind of Inequality Do You Prefer? Evaluating Measures of Income and Health Inequality Using Choice Experiments," Working Papers 2019:7, Lund University, Department of Economics, revised 31 May 2019.
  • Handle: RePEc:hhs:lunewp:2019_007
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    1. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    2. Corneo, Giacomo & Fong, Christina M., 2008. "What's the monetary value of distributive justice," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 289-308, February.
    3. Alexander W. Cappelen & Knut Nygaard & Erik Ø. Sørensen & Bertil Tungodden, 2015. "Social Preferences in the Lab: A Comparison of Students and a Representative Population," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(4), pages 1306-1326, October.
    4. Erreygers, Guido & Clarke, Philip & Van Ourti, Tom, 2012. "“Mirror, mirror, on the wall, who in this land is fairest of all?”—Distributional sensitivity in the measurement of socioeconomic inequality of health," Journal of Health Economics, Elsevier, vol. 31(1), pages 257-270.
    5. Wagstaff, Adam, 2002. "Inequality aversion, health inequalities and health achievement," Journal of Health Economics, Elsevier, vol. 21(4), pages 627-641, July.
    6. Matthew Robson & Miqdad Asaria & Richard Cookson & Aki Tsuchiya & Shehzad Ali, 2017. "Eliciting the Level of Health Inequality Aversion in England," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1328-1334, October.
    7. Wagstaff, Adam, 2009. "Correcting the concentration index: A comment," Journal of Health Economics, Elsevier, vol. 28(2), pages 516-520, March.
    8. Jean-Yves Duclos, 2000. "Gini Indices and the Redistribution of Income," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 7(2), pages 141-162, March.
    9. Yitzhaki, Shlomo, 1983. "On an Extension of the Gini Inequality Index," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(3), pages 617-628, October.
    10. Persson, Torsten & Tabellini, Guido, 1994. "Is Inequality Harmful for Growth?," American Economic Review, American Economic Association, vol. 84(3), pages 600-621, June.
    11. Kjellsson, Gustav & Gerdtham, Ulf-G., 2013. "On correcting the concentration index for binary variables," Journal of Health Economics, Elsevier, vol. 32(3), pages 659-670.
    12. Fisman, Raymond & Jakiela, Pamela & Kariv, Shachar, 2017. "Distributional preferences and political behavior," Journal of Public Economics, Elsevier, vol. 155(C), pages 1-10.
    13. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David B. Huffman & Uwe Sunde, 2017. "Global Evidence on Economic Preferences," NBER Working Papers 23943, National Bureau of Economic Research, Inc.
    14. Ana Marta Urrutia Careaga & Francisco José Goerlich Gisbert & Mª Casilda Lasso de la Vega, 2009. "Generalizing the S-Gini Family: Some Properties," Working Papers. Serie AD 2009-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    15. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1645-1692.
    16. Paul Dolan & Aki Tsuchiya, 2011. "Determining the parameters in a social welfare function using stated preference data: an application to health," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2241-2250.
    17. Kristin J. Forbes, 2000. "A Reassessment of the Relationship between Inequality and Growth," American Economic Review, American Economic Association, vol. 90(4), pages 869-887, September.
    18. repec:bla:econom:v:72:y:2005:i:3:p:375-396 is not listed on IDEAS
    19. Pickett, Kate E. & Wilkinson, Richard G., 2015. "Income inequality and health: A causal review," Social Science & Medicine, Elsevier, vol. 128(C), pages 316-326.
    20. Li, Jing & Dow, William H & Kariv, Shachar, 2017. "Social preferences of future physicians," Department of Economics, Working Paper Series qt5vw9g5tj, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    21. Charles Bellemare & Sabine Kröger & Arthur van Soest, 2008. "Measuring Inequity Aversion in a Heterogeneous Population Using Experimental Decisions and Subjective Probabilities," Econometrica, Econometric Society, vol. 76(4), pages 815-839, July.
    22. Raymond Fisman & Pamela Jakiela & Shachar Kariv, 2014. "The Distributional Preferences of Americans," NBER Working Papers 20145, National Bureau of Economic Research, Inc.
    23. Donaldson, David & Weymark, John A., 1980. "A single-parameter generalization of the Gini indices of inequality," Journal of Economic Theory, Elsevier, vol. 22(1), pages 67-86, February.
    24. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
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    1. Campos-Mercade, Pol & Meier, Armando N. & Schneider, Florian H. & Wengström, Erik, 2021. "Prosociality predicts health behaviors during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).

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    More about this item

    Keywords

    Socioeconomic inequality in health; Income inequality; Extended concentration index; S-Gini index; Distributional preferences;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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