Global Poverty Estimates: A Sensitivity Analysis

October 1, 2011

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Format: Chicago

Camelia Minoiu, and Shatakshee Dhongde. Global Poverty Estimates: A Sensitivity Analysis, (USA: International Monetary Fund, 2011) accessed November 21, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure 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 different estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.

Subject: Consumption, Econometric analysis, Estimation techniques, Income distribution, National accounts, Personal income, Poverty

Keywords: Consumption, Consumption poverty, Day poverty line, Density function, Estimate poverty, Estimation techniques, Global, Global poverty, Household surveys, Income distribution, International poverty line, Kernel density estimation, National accounts, Nonparametric estimation method, Personal income, Poverty estimate, Sensitivity analysis, WP

Publication Details

Pages:

30
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2011/234
Stock No:

WPIEA2011234
ISBN:

9781463922009
ISSN:

1018-5941

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