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

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
Format: Working Paper
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
id okr-10986-29074
recordtype oai_dc
spelling okr-10986-290742021-06-08T14:42:47Z Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments Dang, Hai-Anh Jolliffe, Dean Carletto, Calogero POVERTY MEASUREMENT WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS CONSUMPTION IMPUTATION MOBILITY POVERTY 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 household surveys, to missing panel household data. The paper focuses on methods that aim to compare trends and dynamic patterns of poverty outcomes over time. It presents the various methods under a common framework, with pedagogical discussion on the intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, the paper provides a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques. 2017-12-21T20:28:21Z 2017-12-21T20:28:21Z 2017-12 Working Paper 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 English Policy Research Working Paper;No. 8282 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper East Asia and Pacific Vietnam
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic POVERTY MEASUREMENT
WEALTH INDEX
SYNTHETIC PANELS
HOUSEHOLD SURVEYS
CONSUMPTION
IMPUTATION
MOBILITY
POVERTY
spellingShingle POVERTY MEASUREMENT
WEALTH INDEX
SYNTHETIC PANELS
HOUSEHOLD SURVEYS
CONSUMPTION
IMPUTATION
MOBILITY
POVERTY
Dang, Hai-Anh
Jolliffe, Dean
Carletto, Calogero
Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments
geographic_facet East Asia and Pacific
Vietnam
relation Policy Research Working Paper;No. 8282
description 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 household surveys, to missing panel household data. The paper focuses on methods that aim to compare trends and dynamic patterns of poverty outcomes over time. It presents the various methods under a common framework, with pedagogical discussion on the intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, the paper provides a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques.
format Working Paper
author Dang, Hai-Anh
Jolliffe, Dean
Carletto, Calogero
author_facet Dang, Hai-Anh
Jolliffe, Dean
Carletto, Calogero
author_sort Dang, Hai-Anh
title Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments
title_short Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments
title_full Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments
title_fullStr Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments
title_full_unstemmed Data Gaps, Data Incomparability, and Data Imputation : A Review of Poverty Measurement Methods for Data-Scarce Environments
title_sort data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments
publisher World Bank, Washington, DC
publishDate 2017
url 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
_version_ 1764468429706756096

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