Dealing with missing data in household surveys

Missing data are a serious issue for the analysis of household data. In this course, we will explore approaches for dealing with this matter. The course is designed to:

• Highlight why missing data are important
• Provide an overview of different methods for dealing with missing data, including weighting, different types of simple imputations, as well as multiple imputation
• Look at the implication of different approaches for the estimates of means, proportions and percentiles, as well as the accuracy of those estimates
• Show what can go wrong when missing data are handled 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: 25-27 May 2022

Mode of Delivery: The course will be delivered over three days via Zoom and UCT’s content management system Vula. Sessions will run from 9.00 am to 3.30 pm. There will be a strong practical component, using Stata. Participants will need to have Stata installed and 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, School of Economics and Director of DataFirst

Course Fees: R7 000.00.  Partial scholarships are available to students.

Closing Date: Apply Online

*DataFirst reserves the right to postpone or cancel this course due to lack of demand.