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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World Bank, Washington, DC
2021
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| 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 |
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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 |
| _version_ |
1764485646422900736 |