Detecting outliers in household consumption survey data
Submitted by admin on Tue, 08/30/2016
To assess the relevance and impact of various outliers detection and imputation methods on household expenditure data in sample surveys, the World Bank and the IHSN commissioned a comprehensive review of existing algorithms, including an assessment of their implementation on actual survey datasets. This report presents the main findings of this work. A shorter version of this report, with practical guidelines and instructions for implementation in R and Stata, will also be produced.
April 26, 2016