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Poverty and Expenditure Differentiation of the Russian Population

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  • Aivazian Sergey

  • Kolenikov Stanislav

Abstract

The problem of poverty and inequality measurement in contemporary Russian society is considered within the framework of the general problem of social tension reduction via efficient organization of the social assistance system. We argue that features specific to Russian transition stipulate that poverty indicators (e.g., Foster-Greer-Thorbecke family) be calculated on the basis of expenditure rather than income as it is usually done. These features are also accounted for in the econometric model of per capita expenditure distribution. The model includes special methods to calibrate, or to adjust, the distributions obtained from the official budget surveys' statistics. The results of the empirical approbation of the technique are reported, which use the RLMS (Rounds 5 – 8) statistical data as well as budget surveys of Komi Republic, Volgograd and Omsk regions.

Suggested Citation

  • Aivazian Sergey & Kolenikov Stanislav, 2001. "Poverty and Expenditure Differentiation of the Russian Population," EERC Working Paper Series 01-01e, EERC Research Network, Russia and CIS.
    • Handle: RePEc:eer:wpalle:01-01e
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    References listed on IDEAS

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    1. Timothy Smeeding & Gunther Schmaus & Brigitte Buhmann & Lee Rainwater, 1988. "Equivalence Scales, Well-Being, Inequality and Poverty: Sensitivity Estimates Across Ten Countries Using the LIS Database," LIS Working papers 17, LIS Cross-National Data Center in Luxembourg.
    2. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-764, July.
    3. William W. Gould & Jeffrey Pitblado & Brian Poi, 2010. "Maximum Likelihood Estimation with Stata," Stata Press books, StataCorp LLC, edition 4, number ml4, July.
    4. Esteban, Joan & Ray, Debraj, 1994. "On the Measurement of Polarization," Econometrica, Econometric Society, vol. 62(4), pages 819-851, July.
    5. François BOURGUIGNON & Gary S. FIELDS, 1990. "Poverty Measures and Anti-Poverty Policy," Discussion Papers (REL - Recherches Economiques de Louvain) 1990038, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    6. Cowell, Frank & Mercader-Prats, Magda, 1999. "Equivalence scales and inequality," LSE Research Online Documents on Economics 2190, London School of Economics and Political Science, LSE Library.
    7. Hagenaars, Aldi J M, 1987. "A Class of Poverty Indices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 583-607, October.
    8. Brigitte Buhmann & Lee Rainwater & Guenther Schmaus & Timothy M. Smeeding, 1988. "Equivalence Scales, Well‐Being, Inequality, And Poverty: Sensitivity Estimates Across Ten Countries Using The Luxembourg Income Study (Lis) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    9. Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Differences in Needs and Assessment of Income Distributions," Bulletin of Economic Research, Wiley Blackwell, vol. 44(2), pages 77-124, April.
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    Citations

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    Cited by:

    1. Maksim Yemelyanau, 2009. "Inequality in Belarus from 1995 to 2007," BEROC Working Paper Series 01, Belarusian Economic Research and Outreach Center (BEROC).
    2. Kseniya Abanokova & Hai-Anh H. Dang, 2023. "Poverty in Russia: a bird’s-eye view of trends and dynamics in the past quarter of a century," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 58, pages 627-635, Edward Elgar Publishing.
    3. Yuriy Gorodnichenko & Klara Sabirianova Peter & Dmitriy Stolyarov, 2010. "Inequality and Volatility Moderation in Russia: Evidence from Micro-Level Panel Data on Consumption and Income," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 209-237, January.
    4. Maksim Yemelyanau, 2008. "Inequality in Belarus from 1995 to 2005," CERGE-EI Working Papers wp356, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    5. Lukiyanova, Anna & Oshchepkov, Aleksey, 2012. "Income mobility in Russia (2000–2005)," Economic Systems, Elsevier, vol. 36(1), pages 46-64.
    6. Alan Nartikoev & Anatoly Peresetsky, 2019. "Modeling the dynamics of income distribution in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 105-125.
    7. Igor Tsarev, 2008. "Modeling the Income Distribution in the Society," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 11(3), pages 43-51.
    8. Borisov, Gleb V. & Pissarides, Christopher A., 2016. "The Intergenerational Transmission of Human Capital and Earnings in Contemporary Russia," IZA Discussion Papers 10300, Institute of Labor Economics (IZA).

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    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • P29 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Other

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