Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues

This paper proposes monetary poverty and inequality estimates for Kinshasa using a new Kinshasa household survey implemented in 2018. Given the obsolescence of the sampling frame, the survey was sampled using satellite imagery. However, the collect...

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Main Authors: Batana, Yele Maweki, Masaki, Takaaki, Nakamura, Shohei, Viboudoulou Vilpoux, Mervy Ever
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
Online Access:http://documents.worldbank.org/curated/undefined/629051637331820967/Estimating-Poverty-in-Kinshasa-by-Dealing-with-Sampling-and-Comparability-Issues
http://hdl.handle.net/10986/36631
id okr-10986-36631
recordtype oai_dc
spelling okr-10986-366312021-12-03T05:10:40Z Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues Batana, Yele Maweki Masaki, Takaaki Nakamura, Shohei Viboudoulou Vilpoux, Mervy Ever POVERTY MEASUREMENT INEQUALITY SAMPLING ERRORS COMPARABILITY ISSUES POVERTY MAP PROPENSITY SCORE URBAN POVERTY COVID-19 CORONAVIRUS ROBUSTNESS ANALYSIS This paper proposes monetary poverty and inequality estimates for Kinshasa using a new Kinshasa household survey implemented in 2018. Given the obsolescence of the sampling frame, the survey was sampled using satellite imagery. However, the collection of data in the field was affected by sampling errors that are likely to compromise the representativeness of the sample. After addressing these sampling issues and dealing with some comparability issues with the 2012 survey, the paper shows that poverty and inequality increased significantly during 2012–18 in Kinshasa. Poverty has increased in the city by 12 percentage points, from 53 to 65 percent, partly due to the loss of purchasing power following the sharp depreciation in 2017. Other explanatory factors include demographic factors, human capital, and spatial factors. The deterioration in well-being also appears to have been exacerbated by the onset of the COVID-19 pandemic through decline in labor and nonlabor income and disruptions in goods and services markets and public services. 2021-12-02T20:33:40Z 2021-12-02T20:33:40Z 2021-11 Working Paper http://documents.worldbank.org/curated/undefined/629051637331820967/Estimating-Poverty-in-Kinshasa-by-Dealing-with-Sampling-and-Comparability-Issues http://hdl.handle.net/10986/36631 English Policy Research Working Paper;No. 9858 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 Africa Africa Eastern and Southern (AFE) Congo, Democratic Republic of
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
INEQUALITY
SAMPLING ERRORS
COMPARABILITY ISSUES
POVERTY MAP
PROPENSITY SCORE
URBAN POVERTY
COVID-19
CORONAVIRUS
ROBUSTNESS ANALYSIS
spellingShingle POVERTY MEASUREMENT
INEQUALITY
SAMPLING ERRORS
COMPARABILITY ISSUES
POVERTY MAP
PROPENSITY SCORE
URBAN POVERTY
COVID-19
CORONAVIRUS
ROBUSTNESS ANALYSIS
Batana, Yele Maweki
Masaki, Takaaki
Nakamura, Shohei
Viboudoulou Vilpoux, Mervy Ever
Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
geographic_facet Africa
Africa Eastern and Southern (AFE)
Congo, Democratic Republic of
relation Policy Research Working Paper;No. 9858
description This paper proposes monetary poverty and inequality estimates for Kinshasa using a new Kinshasa household survey implemented in 2018. Given the obsolescence of the sampling frame, the survey was sampled using satellite imagery. However, the collection of data in the field was affected by sampling errors that are likely to compromise the representativeness of the sample. After addressing these sampling issues and dealing with some comparability issues with the 2012 survey, the paper shows that poverty and inequality increased significantly during 2012–18 in Kinshasa. Poverty has increased in the city by 12 percentage points, from 53 to 65 percent, partly due to the loss of purchasing power following the sharp depreciation in 2017. Other explanatory factors include demographic factors, human capital, and spatial factors. The deterioration in well-being also appears to have been exacerbated by the onset of the COVID-19 pandemic through decline in labor and nonlabor income and disruptions in goods and services markets and public services.
format Working Paper
author Batana, Yele Maweki
Masaki, Takaaki
Nakamura, Shohei
Viboudoulou Vilpoux, Mervy Ever
author_facet Batana, Yele Maweki
Masaki, Takaaki
Nakamura, Shohei
Viboudoulou Vilpoux, Mervy Ever
author_sort Batana, Yele Maweki
title Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
title_short Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
title_full Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
title_fullStr Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
title_full_unstemmed Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
title_sort estimating poverty in kinshasa by dealing with sampling and comparability issues
publisher World Bank, Washington, DC
publishDate 2021
url http://documents.worldbank.org/curated/undefined/629051637331820967/Estimating-Poverty-in-Kinshasa-by-Dealing-with-Sampling-and-Comparability-Issues
http://hdl.handle.net/10986/36631
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