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Detecting outliers in household consumption survey data

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.
Peter Filzmoser, Johannes Gussenbauer, Matthias Templ
Publication date: 
April 26, 2016
File size: 
1.1 Mb