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Global Poverty Estimates :, A Sensitivity Analysis, Camelia Minoiu, Shatakshee Dhongde

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
Table Of Contents
Cover Page; Title Page; Copyright Page; Contents; I. Introduction; Figure 1 Estimates of global poverty between 1981 and 2005; II. Literature Review; A. Conceptualizing Global Poverty; B. Estimating Global Poverty; Table 1 Chronology of global poverty studies; Table 2 Methodological differences between recent global poverty studies; III. Sensitivity Analysis; Figure 2 Schematic representation of the sensitivity analysis; A. Notation; B. Data; Table 3 Country-years included in the sensitivity analysis; IV. Results; A. Household Surveys vs. National Accounts Statistics
Literary Form
non fiction
Description based upon print version of record
Physical Description
1 online resource (44 p.)
Specific Material Designation
Form Of Item

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