IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/492.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/214839/1/GLO-DP-0492.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. repec:hal:pseose:halshs-01383894 is not listed on IDEAS
    4. 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.
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Martin Ravallion, 2020. "On Measuring Global Poverty," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 167-188, August.
    11. 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.
    12. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
    13. 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, April.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    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. Hai-Anh H. Dang & Kseniya Abanokova & Michael M. Lokshin, 2023. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2019," Hacienda Pública Española / Review of Public Economics, IEF, vol. 247(4), pages 125-153, December.
    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. 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.
    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. Dang, Hai-Anh H. & Abanokova, Kseniya, 2022. "Do Gender, Child, and Parent Characteristics Contribute to Intergenerational Subjective Well-being Mobility? Evidence from Russia during 1994-2019," GLO Discussion Paper Series 1088, Global Labor Organization (GLO).
    6. 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.
    7. Kaizhi Yu & Yun Zhang & Hong Zou & Chenchen Wang, 2019. "Absolute Income, Income Inequality and the Subjective Well-Being of Migrant Workers in China: Toward an Understanding of the Relationship and Its Psychological Mechanisms," IJERPH, MDPI, vol. 16(14), pages 1-27, July.
    8. Jianbo Jeff Luo, 2022. "Is Happiness Adaptation to Poverty Limited? The Role of Reference Income," Journal of Happiness Studies, Springer, vol. 23(6), pages 2491-2516, August.
    9. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    10. 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.
    11. Marco Cozzi & Qiushan Li, 2024. "Do wealth shocks matter for the life satisfaction of the elderly? Evidence from the health and retirement study," Economics Bulletin, AccessEcon, vol. 44(1), pages 88-98.
    12. Stefan Boes & Rainer Winkelmann, 2010. "The Effect of Income on General Life Satisfaction and Dissatisfaction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(1), pages 111-128, January.
    13. de Hond, Anne & Bakx, Pieter & Versteegh, Matthijs, 2019. "Can time heal all wounds? An empirical assessment of adaptation to functional limitations in an older population," Social Science & Medicine, Elsevier, vol. 222(C), pages 180-187.
    14. Jantsch, Antje & Le Blanc, Julia & Schmidt, Tobias, 2022. "Wealth and subjective well-being in Germany," Discussion Papers 11/2022, Deutsche Bundesbank.
    15. Maurizio Pugno & Francesco Sarracino, 2021. "Structural Changes in Economic Growth and Well-Being: The Case of Italy’s Parabola," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 801-838, December.
    16. 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.
    17. Stefan Boes & Rainer Winkelmann, 2004. "Income and Happiness: New Results from Generalized Threshold and Sequential Models," SOI - Working Papers 0407, Socioeconomic Institute - University of Zurich.
    18. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    19. Jantsch, Antje & Le Blanc, Julia & Schmidt, Tobias, 2024. "Beyond income: Exploring the role of household wealth for subjective well-being in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 25(7).
    20. Biswajit Banerjee & Peter Tóth, 2025. "Life Satisfaction and Inequality in Slovakia: The Role of Income, Consumption and Wealth," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 177(1), pages 93-126, March.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:glodps:492. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.