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Vulnerability to poverty in select Central Asian Countries

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  • Raghbendra Jha
  • Tu Dang

Abstract

Economists have long recognized that a household's sense of well-being depends not just on its average income or expenditures, but also on the risks it faces. Hence vulnerability is a more satisfactory measure of welfare than poverty. In this paper we measure the extent of vulnerability as expected poverty, examine the importance of its determinants in the following four Central Asian countries: Azerbaijan, Kazakhstan, Kyrgyzstan, and Tajikistan. We find that the fractions of the populations of these countries facing the risk of poverty are considerably different from those observed to be poor. Moreover, the distribution of vulnerability across different segments of the population can differ significantly from the distribution of poverty. In addition, there is a sizable fraction of the population in these countries who were observed to be non-poor but are estimated.

Suggested Citation

  • Raghbendra Jha & Tu Dang, 2008. "Vulnerability to poverty in select Central Asian Countries," Departmental Working Papers 2008-10, The Australian National University, Arndt-Corden Department of Economics.
    • Handle: RePEc:pas:papers:2008-10
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Brück, Tilman & Esenaliev, Damir & Kroeger, Antje & Kudebayeva, Alma & Mirkasimov, Bakhrom & Steiner, Susan, 2014. "Household survey data for research on well-being and behavior in Central Asia," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 819-835.
    2. Zsoka Koczan, 2022. "Perceptions of economic well‐being in the Western Balkans," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(4), pages 845-867, October.
    3. Alma Kudebayeva, 2018. "Chronic Poverty in Kazakhstan," CERGE-EI Working Papers wp627, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Manoj K. Pandey, 2013. "Elderly's Health Shocks and Household's Ex-ante Poverty in India," ASARC Working Papers 2013-01, The Australian National University, Australia South Asia Research Centre.
    5. Kumo, Kazuhiro, 2015. "Research on Poverty in Transition Economies: A Meta-analysis on Changes in the Determinants of Poverty," RRC Working Paper Series 51, Russian Research Center, Institute of Economic Research, Hitotsubashi University.
    6. Hardeweg, Bernd & Wagener, Andreas & Waibel, Hermann, 2013. "A distributional approach to comparing vulnerability, applied to rural provinces in Thailand and Vietnam," Journal of Asian Economics, Elsevier, vol. 25(C), pages 53-65.
    7. Mohiburrahman Iqbal, 2013. "Vulnerability to expected poverty in Afghanistan," ASARC Working Papers 2013-14, The Australian National University, Australia South Asia Research Centre.
    8. Raghu Bir Bista, 2023. "Estimating the Impact of Adaptive Capacity on Vulnerability in Nepal," Journal of Economic Impact, Science Impact Publishers, vol. 5(3), pages 300-305.
    9. Jehane Simona-Moussa, 2020. "The Subjective Well-Being of Those Vulnerable to Poverty in Switzerland," Journal of Happiness Studies, Springer, vol. 21(5), pages 1561-1580, June.
    10. Emiliano Magrini & Pierluigi Montalbano, 2012. "Trade openness and vulnerability to poverty: Vietnam in the long-run (1992-2008)," Working Paper Series 3512, Department of Economics, University of Sussex Business School.
    11. Jamal, Haroon, 2021. "Updating Pakistan’s Poverty Numbers for the Year 2019," MPRA Paper 105135, University Library of Munich, Germany, revised 14 Jan 2021.
    12. Jamal, Haroon, 2009. "Assessing Vulnerability to Poverty:Evidence from Pakistan," MPRA Paper 40228, University Library of Munich, Germany.

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    More about this item

    Keywords

    Poverty; Vulnerability; Cross-section data; Central Asia;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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