Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost: Evidence from a Randomized Survey Experiment
Year of publication: |
2024
|
---|---|
Authors: | Dang, Hai-Anh ; Kilic, Talip ; Hlasny, Vladimir ; Abanokova, Kseniya ; Carletto, Calogero |
Publisher: |
Essen : Global Labor Organization (GLO) |
Subject: | consumption | poverty | survey-to-survey imputation | household surveys | Tanzania |
Series: | GLO Discussion Paper ; 1392 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1880791692 [GVK] hdl:10419/281990 [Handle] RePEc:zbw:glodps:1392 [RePEc] |
Classification: | C15 - Statistical Simulation Methods; Monte Carlo Methods ; I32 - Measurement and Analysis of Poverty ; O15 - Human Resources; Income Distribution; Migration |
Source: |
-
Imputing poverty indicators without consumption data : an exploratory analysis
Dang, Hai-Anh, (2024)
-
Imputing poverty indicators without consumption data : an exploratory analysis
Dang, Hai-Anh, (2024)
-
Poverty imputation in contexts without consumption data : a revisit with further refinements
Dang, Hai-Anh, (2023)
- More ...
-
Dang, Hai-Anh, (2024)
-
Dang, Hai-Anh, (2024)
-
Dang, Hai-Anh, (2024)
- More ...