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Vulnerability to Poverty in select Central Asian Countries

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  • Raghbendra Jha
  • Tu Dang

Abstract

In the extant literature either income or consumption expenditures as measured over short periods of time have been regarded as a proxy for the material well-being of households. However, 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 and its ability to deal with these risks. Hence vulnerability is a more satisfactory measure of welfare. In this study we used the concept of vulnerability as expected poverty to assess the household vulnerability to poverty in four Central Asian countries: Azerbaijan, Kazakhstan, Kyrgyzstan, and Tajikistan. Except for Tajikistan, headcount poverty and vulnerability rates are significantly different. We also find that vulnerability differs significantly across households by location and selected household characteristics. In this paper we use a simple empirical measurement that allows estimating the headcount vulnerability to poverty using cross-section data. This measurement is based on the strong assumption that households have the same conditional distribution of consumption in a stationary environment. While this approach cannot capture all dimensions of vulnerability, it at least begins to raise the policy issue that vulnerability should be considered alongside poverty.

Suggested Citation

  • Raghbendra Jha & Tu Dang, 2009. "Vulnerability to Poverty in select Central Asian Countries," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 6(1), pages 17-50, June.
  • Handle: RePEc:liu:liucej:v:6:y:2009:i:1:p:17-50
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    References listed on IDEAS

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    1. Paul Mosley & Robert Holzmann & Steen Jorgensen, 1999. "Social protection as social risk management: conceptual underpinnings for the social protection sector strategy paper," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(7), pages 1005-1027.
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    3. Ligon, Ethan & Schechter, Laura, 2004. "Evaluating different approaches to estimating vulnerability," Social Protection and Labor Policy and Technical Notes 30159, The World Bank.
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    5. Ethan Ligon & Laura Schechter, 2003. "Measuring Vulnerability," Economic Journal, Royal Economic Society, vol. 113(486), pages 95-102, March.
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    8. Pasquale Scaramozzino, 2006. "Measuring Vulnerability to Food Insecurity," Working Papers 06-12, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
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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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Mohiburrahman Iqbal, 2013. "Vulnerability to expected poverty in Afghanistan," ASARC Working Papers 2013-14, The Australian National University, Australia South Asia Research Centre.
    7. Jamal, Haroon, 2009. "Assessing Vulnerability to Poverty:Evidence from Pakistan," MPRA Paper 40228, University Library of Munich, Germany.

    More about this item

    Keywords

    Poverty ; Vulnerability ; Cross-section data ; Central Asia;

    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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