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The distributive fairness of out-of-pocket healthcare expenditure in the Russian Federation

Author

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  • Pavitra Paul

    (University of Eastern Finland
    Aix-Marseille Université)

Abstract

This article examines the effects of socioeconomic position and urban–rural settlement on the distribution of out-of-pocket expenditure (OPE) for health in the Russian Federation. Data comes from 2005 to 2016 waves of the Russian Longitudinal Monitoring Survey. Concentration index reflects changes in the distribution of OPE between the worse-off and the better-off Russians over a 12-year period. Finally, unconditional quantile regression—a recentred influence function approach estimates differential impacts of covariates along the distribution of OPE. OPE is concentrated amongst the better-off Russians in 2016. Urban settlements contribute to top end OPE distribution for the richest and town settlements, at the median for the richest and the poorest. Our model for the analysis is unique in the context of study population, as it marginalises the effect over the distributions of other covariates used in the model.

Suggested Citation

  • Pavitra Paul, 2020. "The distributive fairness of out-of-pocket healthcare expenditure in the Russian Federation," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 13-40, March.
    • Handle: RePEc:kap:ijhcfe:v:20:y:2020:i:1:d:10.1007_s10754-019-09268-9
    DOI: 10.1007/s10754-019-09268-9
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    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Martin Ravallion & Michael Lokshin, 2001. "Identifying Welfare Effects from Subjective Questions," Economica, London School of Economics and Political Science, vol. 68(271), pages 335-357, August.
    3. Pollak, Robert A., 1991. "Welfare comparisons and situation comparisons," Journal of Econometrics, Elsevier, vol. 50(1-2), pages 31-48, October.
    4. Magnus Lindelow, 2002. "Sometimes more equal than others: How the choice of welfare indicator can affect the measurement of health inequalities and the incidence of public spending," CSAE Working Paper Series 2002-15, Centre for the Study of African Economies, University of Oxford.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    7. Wagstaff, Adam & van Doorslaer, Eddy & van der Burg, Hattem & Calonge, Samuel & Christiansen, Terkel & Citoni, Guido & Gerdtham, Ulf-G & Gerfin, Mike & Gross, Lorna & Hakinnen, Unto, 1999. "Equity in the finance of health care: some further international comparisons1," Journal of Health Economics, Elsevier, vol. 18(3), pages 263-290, June.
    8. Binder, Martin & Coad, Alex, 2011. "From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 275-290, August.
    9. Waters, Hugh R. & Anderson, Gerard F. & Mays, Jim, 2004. "Measuring financial protection in health in the United States," Health Policy, Elsevier, vol. 69(3), pages 339-349, September.
    10. Michael Lokshin & Martin Ravallion, 2000. "Welfare Impacts of the 1998 Financial Crisis in Russia and the Response of the Public Safety Net," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 8(2), pages 269-295, July.
    11. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    12. Cortinovis, I. & Vella, V. & Ndiku, J., 1993. "Construction of a socio-economic index to facilitate analysis of health data in developing countries," Social Science & Medicine, Elsevier, vol. 36(8), pages 1087-1097, April.
    13. Magnus Lindelow, 2002. "Sometimes More Equal than Others How the choice of welfare indicator can affect the measurement of health inequalities and the incidence of public spending," Economics Series Working Papers WPS/2002-15, University of Oxford, Department of Economics.
    14. Mark Montgomery & Michele Gragnolati & Kathleen Burke & Edmundo Paredes, 2000. "Measuring living standards with proxy variables," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 155-174, May.
    15. Falkingham, Jane, 2004. "Poverty, out-of-pocket payments and access to health care: evidence from Tajikistan," Social Science & Medicine, Elsevier, vol. 58(2), pages 247-258, January.
    16. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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    More about this item

    Keywords

    Distribution; Expenditure; Fairness; Out-of-pocket; Quantile; Socioeconomic;
    All these keywords.

    JEL classification:

    • D39 - Microeconomics - - Distribution - - - Other
    • D69 - Microeconomics - - Welfare Economics - - - Other
    • H49 - Public Economics - - Publicly Provided Goods - - - Other
    • H89 - Public Economics - - Miscellaneous Issues - - - Other
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other

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