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Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2017

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

Abstract

We offer the first study on vulnerability adaptation to subjective well-being, using rich panel data over the past two decades for Russia. We found no adaption to vulnerability for life satisfaction and subjective wealth, with longer vulnerability spells being associated with more negative subjective welfare. Similar results hold for other outcomes including satisfaction with own economic conditions, work contract, job, pay, and career. Some evidence indicates that despite little differences between urban and rural areas with life satisfaction, rural areas exhibit a stronger lack of adaptation for subjective wealth, particularly for longer durations of vulnerability. Higher education levels generally exhibit a stronger lack of adaptation. The lack of adaptation to vulnerability is, however, similar at different education levels for subjective wealth. We also find a U-shaped relationship between age and durations of vulnerability and disability to have the most negative impacts on life satisfaction and subjective wealth.

Suggested Citation

  • Dang, Hai-Anh H. & Abanokova, Kseniya & Lokshin, Michael M., 2020. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2017," GLO Discussion Paper Series 492, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:492
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    1. Andrew E. Clark & Conchita D’Ambrosio & Simone Ghislandi, 2016. "Adaptation to Poverty in Long-Run Panel Data," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 591-600, July.
    2. 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.
    3. Hai‐Anh H. Dang & Peter F. Lanjouw, 2017. "Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line and Their Empirical Application," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 633-660, December.
    4. Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2020. "Welfare Dynamics and Inequality in the Russian Federation During 1994–2015," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(4), pages 812-846, September.
    5. Andrew E. Clark, 2018. "Four Decades of the Economics of Happiness: Where Next?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 245-269, June.
    6. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
    7. World Bank Group, 2015. "A Measured Approach to Ending Poverty and Boosting Shared Prosperity : Concepts, Data, and the Twin Goals," World Bank Publications - Books, The World Bank Group, number 20384.
    8. Dang,Hai-Anh H. & Lokshin,Michael M. & Abanokova,Ksenia & Bussolo,Maurizio, 2018. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," Policy Research Working Paper Series 8629, The World Bank.
    9. Abanokova, Kseniya & Dang, Hai-Anh & 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).
    10. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    11. Martin Ravallion, 2020. "On Measuring Global Poverty," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 167-188, August.
    12. 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.
    13. Lidia Ceriani, 2018. "Vulnerability to poverty: empirical findings," Chapters, in: Conchita D’Ambrosio (ed.), Handbook of Research on Economic and Social Well-Being, chapter 12, pages 284-299, Edward Elgar Publishing.
    14. Stefano A. Caria & Paolo Falco, 2018. "Does the Risk of Poverty Reduce Happiness?," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 1-28.
    15. Andrew E. Clark & Conchita D’Ambrosio & Simone Ghislandi, 2016. "Adaptation to Poverty in Long-Run Panel Data," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 591-600, July.
    16. 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.
    17. Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova, 2019. "Did the Poor Adapt to Their Circumstances? Evidence from Long-run Russian Panel Data," Economics Bulletin, AccessEcon, vol. 39(4), pages 2258-2274.
    18. Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
    19. Ellen Hamilton & Sudeshna Ghosh Banerjee & Maka Lomaia, 2008. "Exploring housing subsidies to households in Russia," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(3), pages 257-279.
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    More about this item

    Keywords

    vulnerability; adaptation; satisfaction; subjective wealth; gender; panel data; Russia;
    All these keywords.

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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