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Global poverty estimates: Present and future

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Author Info

  • Shatakshee Dhongde

    ()
    (Rochester Institute of Technology)

  • Camelia Minoiu

    ()
    (International Monetary Fund)

Abstract

We review the recent empirical literature on global poverty, focusing on key methodological aspects. These include the choice of welfare indicator, poverty line and purchasing power parity exchange rates, equivalence scales, data sources, and estimation methods. We also discuss the importance of the intra-household resource allocation process in determining within-household inequalities and potentially influencing poverty estimates. Based on a sensitivity analysis of global poverty estimates to different methodological approaches, we show that existing figures vary markedly with the choice of data source for mean income or consumption used to scale relative distributions; and with the statistical method used to estimate income distributions from tabulated data.

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File URL: http://www.ecineq.org/milano/WP/ECINEQ2010-181.pdf
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Bibliographic Info

Paper provided by ECINEQ, Society for the Study of Economic Inequality in its series Working Papers with number 181.

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Length: 31 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:inq:inqwps:ecineq2010-181

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Web page: http://www.ecineq.org
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Keywords: global poverty; household surveys; national accounts; tabulated data.;

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  1. Xavier Sala-i-Martin, 2002. "The world distribution of income (estimated from individual country distributions)," Discussion Papers 0102-58, Columbia University, Department of Economics.
  2. Villasenor, JoseA. & Arnold, Barry C., 1989. "Elliptical Lorenz curves," Journal of Econometrics, Elsevier, vol. 40(2), pages 327-338, February.
  3. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2009. "Parametric Estimations of the World Distribution of Income," NBER Working Papers 15433, National Bureau of Economic Research, Inc.
  4. Xavier Sala-i-Martin, 2002. "The disturbing "rise" of global income inequality," Discussion Papers 0102-44, Columbia University, Department of Economics.
  5. Wu, Ximing & Perloff, Jeffrey M., 2007. "GMM estimation of a maximum entropy distribution with interval data," Journal of Econometrics, Elsevier, vol. 138(2), pages 532-546, June.
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Cited by:
  1. Facundo Alvaredo & Leonardo Gasparini, 2013. "Recent Trends in Inequality and Poverty in Developing Countries," CEDLAS, Working Papers 0151, CEDLAS, Universidad Nacional de La Plata.
  2. Dhongde, Shatakshee & Minoiu, Camelia, 2013. "Global Poverty Estimates: A Sensitivity Analysis," World Development, Elsevier, vol. 44(C), pages 1-13.

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