Counterfactual Decomposition of Pro-Poorness Using Influence Functions | |
Essama-Nssah, B. ; Lambert, Peter J. | |
Taylor and Francis | |
关键词: pro-poorness; counterfactual analysis; economic growth; influence function; social evaluation; | |
DOI : 10.1080/19452829.2015.1115392 RP-ID : 104054 |
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学科分类:社会科学、人文和艺术(综合) | |
来源: World Bank Open Knowledge Repository | |
【 摘 要 】
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.
【 预 览 】
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cjhd-10.108019452829.2015.1115392.pdf | 1178KB | download |