New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values

New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values

This paper contributes to the debate on ways to improve the calculation of inequality measures in developing countries experiencing severe budget constraints. Linear regression-based survey-to-survey imputation techniques are most frequently discus...

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Bibliographic Details
Main Authors: Betti, Gianni, Molini, Vasco, Mori, Lorenzo
Format: Working Paper
Language:English
Published: World Bank,Washington, DC 2022
Subjects:
INEQUALITY INDICATORS
BIAS REDUCTION
SURVEY-TO-SURVEY IMPUTATION
MOROCCAN LFS
MOROCCAN HBS
POVERTY ESTIMATION
POVERTY STATISTICS
POVERTY INDICATORS
SSIT
POVERTY MAP
HOUSEHOLD SURVEY
POVERTY AND INEQUALITY
POVERTY TRENDS
Online Access:http://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c
http://hdl.handle.net/10986/37329

Internet

http://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c
http://hdl.handle.net/10986/37329

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