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.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 14631
- Klassifikation
-
Wirtschaft
Statistical Simulation Methods: General
Measurement and Analysis of Poverty
Economic Development: Human Resources; Human Development; Income Distribution; Migration
- Thema
-
poverty
imputation
consumption
wealth index
synthetic panels
household survey
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dang, Hai-Anh
Lanjouw, Peter F.
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute of Labor Economics (IZA)
- (wo)
-
Bonn
- (wann)
-
2021
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Dang, Hai-Anh
- Lanjouw, Peter F.
- Institute of Labor Economics (IZA)
Entstanden
- 2021
Ähnliche Objekte (12)
Data Scarcity and Poverty Measurement
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
Rethinking global poverty measurement
Opportunity-Sensitive Poverty Measurement
Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments
Premature mortality and poverty measurement
Elderly poverty and its measurement
Practices of Poverty Measurement and Poverty Profile of Bangladesh
Practices of Poverty Measurement and Poverty Profile of Nepal
Estimating Income Poverty in the Presence of Missing Data and Measurement Error
Poverty dynamics corrected for measurement error
Data Scarcity and Poverty Measurement
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
Rethinking global poverty measurement
Opportunity-Sensitive Poverty Measurement
Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments
Premature mortality and poverty measurement
Elderly poverty and its measurement
Practices of Poverty Measurement and Poverty Profile of Bangladesh
Practices of Poverty Measurement and Poverty Profile of Nepal
Estimating Income Poverty in the Presence of Missing Data and Measurement Error
Poverty dynamics corrected for measurement error
Data Scarcity and Poverty Measurement
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
Rethinking global poverty measurement
Opportunity-Sensitive Poverty Measurement
Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments
Premature mortality and poverty measurement
Elderly poverty and its measurement
Practices of Poverty Measurement and Poverty Profile of Bangladesh
Practices of Poverty Measurement and Poverty Profile of Nepal
Estimating Income Poverty in the Presence of Missing Data and Measurement Error