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To Impute or Not to Impute? A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data

Dang, Hai-Anh H. - 2018

unavailable household consumption data. We offer a review of alternative imputation methods that have been employed to provide …

Persistent link: https://www.econbiz.de/10011818042

Data Scarcity and Poverty Measurement

Dang, Hai-Anh H.; Lanjouw, Peter F. - 2021

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...

Persistent link: https://www.econbiz.de/10012597120

Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections

Dang, Hai-Anh H.; Lanjouw, Peter F. - 2022

Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with as few as two survey rounds and produces point...

Persistent link: https://www.econbiz.de/10013470719

Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements

Dang, Hai-Anh H.; Kilic, Talip; Abanokova, Kseniya; … - 2023

Household consumption data are often unavailable, not fully collected, or incomparable over time in poorer countries …

Persistent link: https://www.econbiz.de/10013483491

Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments

Dang, Hai-Anh H.; Jolliffe, Dean; Carletto, Calogero - 2018

household consumption data are unavailable or missing. These contexts range from completely missing and partially missing … consumption data in cross sectional household surveys, to missing panel household data. We focus on methods that aim to compare …

Persistent link: https://www.econbiz.de/10012130667

To impute or not to impute? : a review of alternative poverty estimation methods in the context of unavailable consumption data

Dang, Hai-Anh H. - 2018

unavailable household consumption data. We offer a review of alternative imputation methods that have been employed to provide …

Persistent link: https://www.econbiz.de/10012131578

Updating Poverty Estimates at Frequent Intervals in the Absence of Consumption Data : Methods and Illustration with Reference to a Middle-Income Country

Dang, Hai-Anh H. - 2014

priority concern for policy makers. However, these objectives are not readily achieved in practice when household consumption …

Persistent link: https://www.econbiz.de/10011396324

Data scarcity and poverty measurement

Dang, Hai-Anh H.; Lanjouw, Peter - 2021

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 abroad overview of the pros and cons of poverty imputation indata-scarce environments, update recent review...

Persistent link: https://www.econbiz.de/10012597705

Data scarcity and poverty measurement

Dang, Hai-Anh H.; Lanjouw, Peter - 2021

Persistent link: https://www.econbiz.de/10012603834

Using survey-to-survey imputation to fill poverty data gaps at a low cost : evidence from a randomized survey experiment

Dang, Hai-Anh H.; Kilic, Talip; Hlásny, Vladimír; … - 2024

Survey data on household consumption are often unavailable or incomparable over time in many low- and middle … demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates …-food consumption modules, imputation models including food or non-food consumption as predictors do well only if the distributions of …

Persistent link: https://www.econbiz.de/10014470134