Arbeitspapier
Data Scarcity and Poverty Measurement
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 a broad overview of the pros and cons of poverty imputation in data-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.
- Language
-
Englisch
- Bibliographic citation
-
Series: IZA Discussion Papers ; No. 14631
- Classification
-
Wirtschaft
Statistical Simulation Methods: General
Measurement and Analysis of Poverty
Economic Development: Human Resources; Human Development; Income Distribution; Migration
- Subject
-
poverty
imputation
consumption
wealth index
synthetic panels
household survey
- Event
-
Geistige Schöpfung
- (who)
-
Dang, Hai-Anh
Lanjouw, Peter F.
- Event
-
Veröffentlichung
- (who)
-
Institute of Labor Economics (IZA)
- (where)
-
Bonn
- (when)
-
2021
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Dang, Hai-Anh
- Lanjouw, Peter F.
- Institute of Labor Economics (IZA)
Time of origin
- 2021
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