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Multiple Imputation in Household Surveys Using Stata
Missing data are a serious issue for the analysis of household data. In this course we will explore approaches for dealing with this matter, focusing particularly on multiple imputation. The course is designed to:
Highlight why missing data are important
Provide an overview of different methods for dealing with missing data, including weighting, simple imputations, and multiple imputation
Introduce the Stata suite of multiple imputation tools
Provide hands-on experience in analysing multiply imputed data, particularly in labour economics
Show what can go wrong when imputation is done badly.