To Impute or Not to Impute? : A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data
There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes unavailable household consumption data. This paper offers a review of alternative imputation methods that have been employed to provid...
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Language: | English |
Published: |
World Bank, Washington, DC
2018
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Online Access: | http://documents.worldbank.org/curated/en/448791523466902450/To-impute-or-not-to-impute-a-review-of-alternative-poverty-estimation-methods-in-the-context-of-unavailable-consumption-data http://hdl.handle.net/10986/29673 |
Summary: | There is an increasingly stronger demand
for more frequent and accurate poverty estimates, despite
the oftentimes unavailable household consumption data. This
paper offers a review of alternative imputation methods that
have been employed to provide poverty estimates in such
contexts. These range from estimates on a nonmonetary basis,
estimates for specific project targeting or tracking trends
at the national level, to estimates at a more disaggregated
level, as well as estimates of poverty dynamics. The paper
provides a concise and accessible synthesis, which serves as
an introduction to the literature. The focus is on intuition
and practical insights that highlight the nuanced
differences between the existing methods rather than
technical aspects. |
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