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The Important Role of Equivalence Scales : Household Size, Composition, and Poverty Dynamics in the Russian Federation

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  • Abanokova,Kseniya
  • Dang,Hai-Anh H.
  • Lokshin,Michael M.

Abstract

Hardly any literature exists on the relationship between equivalence scales and poverty dynamics for transitional countries. This paper offers a new study on the impacts of equivalence scale adjustments on poverty dynamics in the Russian Federation, using equivalence scales constructed from subjective wealth and more than 20 waves of household panel survey data from the Russia Longitudinal Monitoring Survey. The analysis suggests that the equivalence scale elasticity is sensitive to household demographic composition. The adjustments for the equivalence of scales result in lower estimates of poverty lines. The study decomposes poverty into chronic and transient components and finds that chronic poverty is positively related to the adult scale parameter. However, chronic poverty is less sensitive to the child scale factor compared with the adult scale factor. Interestingly, the direction of income mobility might change depending on the specific scale parameters that are employed. The results are robust to different measures of chronic poverty, income expectations, reference groups, functional forms, and various other specifications.

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  • Abanokova,Kseniya & Dang,Hai-Anh H. & Lokshin,Michael M., 2020. "The Important Role of Equivalence Scales : Household Size, Composition, and Poverty Dynamics in the Russian Federation," Policy Research Working Paper Series 9270, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9270
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    Cited by:

    1. 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.
    2. Steven F. Koch, 2021. "Equivalence Scales with Endogeneity and Base Independence," Working Papers 202185, University of Pretoria, Department of Economics.
    3. Macinko, James & Seixas, Brayan V. & de Oliveira, Cesar & Lima-Costa, Maria Fernanda, 2022. "Private health insurance, healthcare spending and utilization among older adults: Results from the Brazilian Longitudinal Study of Aging," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    4. Steven F. Koch, 2022. "Equivalence scales in a developing country with extensive inequality," South African Journal of Economics, Economic Society of South Africa, vol. 90(4), pages 486-512, December.
    5. Karen Tumanyants & Sergey Arzhenovskiy & Olga Arkova & Maksim Monastyryov & Irina Pichulina, 2023. "Inequality and Economic Growth in Russia: Econometric Analysis," Russian Journal of Money and Finance, Bank of Russia, vol. 82(2), pages 52-77, June.
    6. Pishnyak, A. & Khalina, N. & Nazarbaeva, E. & Goriainova, A., 2021. "The level and the profile of persistent poverty in Russia," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 56-73.
    7. Regan, Mark & Kakoulidou, Theano, 2022. "How important are the unit of analysis and equivalence scales when measuring income poverty and inequality? Evidence from Ireland," Papers WP721, Economic and Social Research Institute (ESRI).

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    More about this item

    Keywords

    Inequality; Poverty Assessment; Poverty Diagnostics; Small Area Estimation Poverty Mapping; Poverty Impact Evaluation; Poverty Lines; Poverty Monitoring&Analysis; Health Care Services Industry;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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