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Measurement of Chronic and Transient Poverty: Theory and Application to Pakistan

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  • Kurosaki, Takashi
  • 黒崎, 卓
  • クロサキ, タカシ

Abstract

This paper investigates how to characterize each person's poverty status when his/her welfare level fluctuates and how to aggregate the status into chronic and transient poverty measures. The contribution of the paper is to clarify the sensitivity of relative magnitudes of chronic versus transient poverty to the choice of a poverty measure. We show this by theoretically re-examining Ravallion's (1988) decomposition of the expected value of a poverty measure into chronic and transient components. The examination covers major poverty measures including those developed by Foster et al. (1985), which are used extensively in the existing studies. Our analysis shows that the chronic-transient decomposition using the squared poverty gap index might be too sensitive to the poverty line and that the index is justified only if we accept that the welfare cost of consumption fluctuation is independent of the depth of chronic poverty. If we instead believe that the decomposition should not be too sensitive to the poverty line and that the welfare cost of risk is more severe when an individual's chronic poverty is deeper, other poverty measures such as suggested by Clark et al. (1981) are useful. We also investigate how empirically different are the relative magnitudes of chronic versus transient poverty, depending on the choice of a poverty measure. Based on a two-period household panel dataset collected in Pakistan, we show that the difference is substantial even when the poorest experienced only a small fluctuation in their consumption.

Suggested Citation

  • Kurosaki, Takashi & 黒崎, 卓 & クロサキ, タカシ, 2003. "Measurement of Chronic and Transient Poverty: Theory and Application to Pakistan," Discussion Paper Series a436, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:hituec:a436
    Note: 37653, References: p. 19-20
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    File URL: https://hit-u.repo.nii.ac.jp/record/2050506/files/DP436.pdf
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    References listed on IDEAS

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    1. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-764, July.
    2. Hulme, David & Shepherd, Andrew, 2003. "Conceptualizing Chronic Poverty," World Development, Elsevier, vol. 31(3), pages 403-423, March.
    3. Kurosaki, Takashi & Fafchamps, Marcel, 2002. "Insurance market efficiency and crop choices in Pakistan," Journal of Development Economics, Elsevier, vol. 67(2), pages 419-453, April.
    4. Bob Baulch & John Hoddinott, 2000. "Economic mobility and poverty dynamics in developing countries," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 1-24.
    5. Kimball, Miles S, 1990. "Precautionary Saving in the Small and in the Large," Econometrica, Econometric Society, vol. 58(1), pages 53-73, January.
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    Cited by:

    1. Guillermo Cruces & Quentin Wodon, 2007. "Risk-adjusted poverty in Argentina: measurement and determinants," Journal of Development Studies, Taylor & Francis Journals, vol. 43(7), pages 1189-1214.
    2. Takashi Kurosaki, 2006. "The measurement of transient poverty: Theory and application to Pakistan," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(3), pages 325-345, December.
    3. Guillermo Cruces, 2005. "Income Fluctuations, Poverty and Well-Being Over Time: Theory and Application to Argentina," Labor and Demography 0502007, University Library of Munich, Germany.
    4. Armida Alisjahbana & Arief Anshory Yusuf, 2003. "Poverty Dynamics In Indonesia: Panel Data Evidence," Working Papers in Economics and Development Studies (WoPEDS) 200303, Department of Economics, Padjadjaran University, revised Jul 2003.
    5. World Bank, 2007. "Social Protection in Pakistan : Managing Household Risks and Vulnerability," World Bank Publications - Reports 7660, The World Bank Group.

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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