Publication: Counterfactual Decomposition of Pro-Poorness Using Influence Functions
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Date
2015-12-11
ISSN
1945-2829
Published
2015-12-11
Author(s)
Lambert, Peter J.
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Abstract
Poverty reduction has emerged as a fundamental social objective of development, and has become a metric commonly used to assess the performance of public policy. This paper adapts the methodology of Firpo, Fortin and Lemieux (2009) [2009. “Unconditional Quantile Regressions.” Econometrica 77 (3): 953–973] to the measurement of the pro-poorness of income growth. The method allows the analyst to identify co-variates that affect poverty reduction. The methodology is policy-relevant because policy-makers can better target these co-variates than the average level of income, or the level of inequality. We demonstrate this by application to Bangladesh 2000–2010.
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- Cited 3 times in Scopus (view citations)