Counterfactual Decomposition of Pro-Poorness Using Influence Functions

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): 95...

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Main Authors:	Essama-Nssah, B., Lambert, Peter J.
Format:	Journal Article
Language:	en_US
Published:	Taylor and Francis 2016
Subjects:	pro-poorness counterfactual analysis economic growth influence function social evaluation
Online Access:	http://hdl.handle.net/10986/23560

id	okr-10986-23560
recordtype	oai_dc
spelling	okr-10986-235602017-12-14T05:52:46Z Counterfactual Decomposition of Pro-Poorness Using Influence Functions Essama-Nssah, B. Lambert, Peter J. pro-poorness counterfactual analysis economic growth influence function social evaluation 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. 2016-01-05T19:16:25Z 2016-01-05T19:16:25Z 2015-12-11 Journal Article Journal of Human Development and Capabilities 1945-2829 http://hdl.handle.net/10986/23560 en_US CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Taylor and Francis Publications & Research :: Journal Article Publications & Research Bangladesh
repository_type	Digital Repository
institution_category	Foreign Institution
institution	World Bank
building	World Bank Open Knowledge Repository
collection	Online Access
language	en_US
topic	pro-poorness counterfactual analysis economic growth influence function social evaluation
spellingShingle	pro-poorness counterfactual analysis economic growth influence function social evaluation Essama-Nssah, B. Lambert, Peter J. Counterfactual Decomposition of Pro-Poorness Using Influence Functions
geographic_facet	Bangladesh
description	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.
format	Journal Article
author	Essama-Nssah, B. Lambert, Peter J.
author_facet	Essama-Nssah, B. Lambert, Peter J.
author_sort	Essama-Nssah, B.
title	Counterfactual Decomposition of Pro-Poorness Using Influence Functions
title_short	Counterfactual Decomposition of Pro-Poorness Using Influence Functions
title_full	Counterfactual Decomposition of Pro-Poorness Using Influence Functions
title_fullStr	Counterfactual Decomposition of Pro-Poorness Using Influence Functions
title_full_unstemmed	Counterfactual Decomposition of Pro-Poorness Using Influence Functions
title_sort	counterfactual decomposition of pro-poorness using influence functions
publisher	Taylor and Francis
publishDate	2016
url	http://hdl.handle.net/10986/23560
_version_	1610781162039410688

Counterfactual Decomposition of Pro-Poorness Using Influence Functions

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