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Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments

This paper reviews methods that have been employed to estimate poverty in contexts where household consumption data are unavailable or missing. These contexts range from completely missing and partially missing consumption data in cross-sectional h...

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Bibliographic Details
Main Authors: Dang, Hai-Anh, Jolliffe, Dean, Carletto, Calogero
Language:English
Published: World Bank, Washington, DC 2017
Subjects:
POVERTY MEASUREMENT
WEALTH INDEX
SYNTHETIC PANELS
HOUSEHOLD SURVEYS
CONSUMPTION
IMPUTATION
MOBILITY
POVERTY
Online Access:http://documents.worldbank.org/curated/en/551171513690220305/Data-gaps-data-incomparability-and-data-imputation-a-review-of-poverty-measurement-methods-for-data-scarce-environments
http://hdl.handle.net/10986/29074

Internet

http://documents.worldbank.org/curated/en/551171513690220305/Data-gaps-data-incomparability-and-data-imputation-a-review-of-poverty-measurement-methods-for-data-scarce-environments
http://hdl.handle.net/10986/29074

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