Data scarcity and poverty measurement

Hai-Anh H. Dang, Peter F. Lanjouw

Measuring poverty trends and dynamics is an important undertaking for poverty reduction policies, which is further highlighted by the SDG goal 1 on eradicating poverty by 2030. We provide abroad overview of the pros and cons of poverty imputation indata-scarce environments, update recent review papers, and point to the latest research on the topics. We briefly review two common uses of poverty imputation methods that aim at tracking poverty over time and estimating poverty dynamics. We also discuss new areas for imputation.

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Year of publication:	2021
Authors:	Dang, Hai-Anh H. ; Lanjouw, Peter
Publisher:	Essen : Global Labor Organization (GLO)
Subject:	poverty \| imputation \| consumption \| wealth index \| synthetic panels \| household survey \| Armut \| Poverty \| Messung \| Measurement \| Privater Haushalt \| Household \| Privater Konsum \| Private consumption \| Panel \| Panel study \| Vermögen \| Wealth \| Haushaltsstatistik \| Household survey \| Vermögensverteilung \| Wealth distribution \| Index \| Index number

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Extent:	1 Online-Ressource (circa 19 Seiten)
Series:	GLO discussion paper. - Essen : [Global Labor Organization (GLO], ZDB-ID 2951901-9. - Vol. no. 904
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper
Language:	English
Other identifiers:	hdl:10419/236203 [Handle]
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; I32 - Measurement and Analysis of Poverty ; O15 - Human Resources; Income Distribution; Migration
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012597705