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
Prerequisites: Participants are expected to have a good grounding in multivariate analysis techniques (multiple regression, discrete choice models), handling of survey data and some experience with Stata. They will also need access to Stata software.
Dates: June-July 2021
Mode of Delivery: The course will be delivered online. Participants will need to have a reasonable internet connection. Sessions will be recorded, so participants will be able to review the material and course notes will be made available.
Course Instructors: Prof Martin Wittenberg
Course Fees: To be confirmed.
Closing Date: Online application will open in May.