IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/9270.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://documents.worldbank.org/curated/en/713071591281684390/pdf/The-Important-Role-of-Equivalence-Scales-Household-Size-Composition-and-Poverty-Dynamics-in-the-Russian-Federation.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    2. Gregori Baetschmann & Kevin E. Staub & Rainer Winkelmann, 2015. "Consistent estimation of the fixed effects ordered logit model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 685-703, June.
    3. Ravallion, Martin & Lokshin, Michael, 2002. "Self-rated economic welfare in Russia," European Economic Review, Elsevier, vol. 46(8), pages 1453-1473, September.
    4. Geishecker, Ingo & Riedl, Maximilian, 2012. "Ordered response models and non-random personality traits: Monte Carlo simulations and a practical guide," University of Göttingen Working Papers in Economics 116, University of Goettingen, Department of Economics.
    5. Johannes Schwarze, 2003. "Using Panel Data on Income Satisfaction to Estimate Equivalence Scale Elasticity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 359-372, September.
    6. 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.
    7. Sonja C. Kassenboehmer & John P. Haisken‐DeNew, 2009. "You're Fired! The Causal Negative Effect of Entry Unemployment on Life Satisfaction," Economic Journal, Royal Economic Society, vol. 119(536), pages 448-462, March.
    8. Das, Marcel & van Soest, Arthur, 1999. "A panel data model for subjective information on household income growth," Journal of Economic Behavior & Organization, Elsevier, vol. 40(4), pages 409-426, December.
    9. John Bishop & Andrew Grodner & Haiyong Liu & Ismael Ahamdanech-Zarco, 2014. "Subjective poverty equivalence scales for Euro Zone countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 265-278, June.
    10. Martin Biewen & Andos Juhasz, 2017. "Direct Estimation of Equivalence Scales and More Evidence on Independence of Base," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 875-905, October.
    11. Angus Deaton & Christina Paxson, 1998. "Economies of Scale, Household Size, and the Demand for Food," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 897-930, October.
    12. Mariano Rojas, 2007. "A Subjective Well-being Equivalence Scale for Mexico: Estimation and Poverty and Income-distribution Implications," Oxford Development Studies, Taylor & Francis Journals, vol. 35(3), pages 273-293.
    13. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    14. Jean O. Lanjouw & Peter Lanjouw & Branko Milanovic & Stefano Paternostro, 2004. "Relative price shifts, economies of scale and poverty during economic transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 509-536, September.
    15. Thesia I. Garner & Kathleen Short, 2005. "Economic Well-Being Based on Income, Consumer Expenditures and Personal Assessments of Minimal Needs," Working Papers 381, U.S. Bureau of Labor Statistics.
    16. Newhouse, David & Suárez Becerra, Pablo & Evans, Martin, 2017. "New global estimates of child poverty and their sensitivity to alternative equivalence scales," Economics Letters, Elsevier, vol. 157(C), pages 125-128.
    17. Oswald, Andrew J. & Powdthavee, Nattavudh, 2008. "Does happiness adapt? A longitudinal study of disability with implications for economists and judges," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1061-1077, June.
    18. Lanjouw, Peter & Ravallion, Martin, 1995. "Poverty and Household Size," Economic Journal, Royal Economic Society, vol. 105(433), pages 1415-1434, November.
    19. Yuka Takeda, 2010. "Equivalence scales for measuring poverty in transitional Russia: Engel's food share method and the subjective economic well-being method," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 351-355.
    20. Maximilian Riedl & Ingo Geishecker, 2014. "Keep it simple: estimation strategies for ordered response models with fixed effects," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2358-2374, November.
    21. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, July.
    22. Jyotsna Jalan & Martin Ravallion, 2000. "Is transient poverty different? Evidence for rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 82-99.
    23. Ravallion, Martin, 2012. "Poor, or just feeling poor ? on using subjective data in measuring poverty," Policy Research Working Paper Series 5968, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abanokova, Kseniya & Dang, Hai-Anh H & Lokshin, Michael, 2020. "The Important Role of Equivalence Scales: Household Size, Composition, and Poverty Dynamics in Russia," IZA Discussion Papers 13043, Institute of Labor Economics (IZA).
    2. Kseniya Abanokova & Hai‐Anh H. Dang & Michael Lokshin, 2022. "Do Adjustments for Equivalence Scales Affect Poverty Dynamics? Evidence from the Russian Federation during 1994–2017," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S1), pages 167-192, April.
    3. Kaiser, Caspar, 2020. "People do not adapt. New analyses of the dynamic effects of own and reference income on life satisfaction," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 494-513.
    4. Kunze, Lars & Suppa, Nicolai, 2017. "Bowling alone or bowling at all? The effect of unemployment on social participation," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 213-235.
    5. Kaiser, Caspar, 2018. "People do not adapt to income changes: A re-evaluation of the dynamic effects of (reference) income on life satisfaction with GSOEP and UKHLS data," INET Oxford Working Papers 2018-07, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    6. Gero Carletto & Alberto Zezza, 2006. "Being poor, feeling poorer: Combining objective and subjective measures of welfare in Albania," Journal of Development Studies, Taylor & Francis Journals, vol. 42(5), pages 739-760.
    7. Christian Dudel & Notburga Ott & Martin Werding, 2013. "Maintaining One's Living Standard at Old Age: What Does that Mean? Evidence Using Panel Data from Germany," CESifo Working Paper Series 4223, CESifo.
    8. Christian Dudel & Notburga Ott & Martin Werding, 2016. "Maintaining one’s living standard at old age: What does that mean?," Empirical Economics, Springer, vol. 51(3), pages 1261-1279, November.
    9. Sonja Spitzer & Angela Greulich & Bernhard Hammer, 2018. "The Subjective Cost of Young Children: A European Comparison," VID Working Papers 1812, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    10. Dickerson, Andy & Hole, Arne Risa & Munford, Luke A., 2014. "The relationship between well-being and commuting revisited: Does the choice of methodology matter?," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 321-329.
    11. 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.
    12. Robin Zoutenbier, 2016. "The impact of matching mission preferences on well-being at work," Economics of Governance, Springer, vol. 17(3), pages 295-315, August.
    13. Robin Zoutenbier, 2014. "The Impact of Matching Mission Preferences on Well-being at Work," Tinbergen Institute Discussion Papers 14-036/I, Tinbergen Institute.
    14. Jolliffe, Dean & Baah, Samuel Kofi Tetteh, 2024. "Identifying the poor – Accounting for household economies of scale in global poverty estimates," World Development, Elsevier, vol. 179(C).
    15. Melanie Borah & Carina Keldenich & Andreas Knabe, 2019. "Reference Income Effects in the Determination of Equivalence Scales Using Income Satisfaction Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 736-770, December.
    16. Martin Biewen & Andos Juhasz, 2017. "Direct Estimation of Equivalence Scales and More Evidence on Independence of Base," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 875-905, October.
    17. Kaiser, Caspar, 2022. "Using memories to assess the intrapersonal comparability of wellbeing reports," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 410-442.
    18. Schmied, Julian, 2023. "The replacement rate that maintains income satisfaction through retirement: The question of income-dependence," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    19. Leonardo Becchetti & Alessandra Pelloni, 2013. "What are we learning from the life satisfaction literature?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 60(2), pages 113-155, June.
    20. Aline Bütikofer & Michael Gerfin, 2017. "The economies of scale of living together and how they are shared: estimates based on a collective household model," Review of Economics of the Household, Springer, vol. 15(2), pages 433-453, June.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:9270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.