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Global Poverty Estimates: A Sensitivity Analysis

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  • Dhongde, Shatakshee
  • Minoiu, Camelia

Abstract

Current estimates of global poverty vary substantially across studies. We undertake a sensitivity analysis to highlight the importance of methodological choices by measuring global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.

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Bibliographic Info

Article provided by Elsevier in its journal World Development.

Volume (Year): 44 (2013)
Issue (Month): C ()
Pages: 1-13

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Handle: RePEc:eee:wdevel:v:44:y:2013:i:c:p:1-13

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Web page: http://www.elsevier.com/locate/worlddev

Related research

Keywords: global poverty; sensitivity analysis; household surveys; national accounts; nonparametrics; income distribution;

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References

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Cited by:
  1. Sabina Alkire and Maria Emma Santos, 2013. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," OPHI Working Papers ophiwp059, Queen Elizabeth House, University of Oxford.
  2. Stein, Alexander J., 2013. "Rethinking the measurement of undernutrition in a broader health context: Should we look at possible causes or actual effects:," IFPRI discussion papers 1298, International Food Policy Research Institute (IFPRI).
  3. Yoshida, Nobuo & Uematsu, Hiroki & Sobrado, Carlos E., 2014. "Is extreme poverty going to end ? an analytical framework to evaluate progress in ending extreme poverty," Policy Research Working Paper Series 6740, The World Bank.

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