Lambert, Peter J.Essama-Nssah, B.2016-01-052016-01-052015-12-11Journal of Human Development and Capabilities1945-2829https://hdl.handle.net/10986/23560Poverty 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.en-USCC BY-NC-ND 3.0 IGOpro-poornesscounterfactual analysiseconomic growthinfluence functionsocial evaluationJournal ArticleWorld Bank10.1596/23560