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: To be confirmed

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: 

 

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

 

 

Contact Us

Visit:  Suite 3.48, 3rd floor, School of Economics Building, Middle Campus, University of Cape Town, Rondebosch, Cape Town 
Mail: Private Bag X3, Rondebosch, 7701, Cape Town, South Africa 
Call: +27 (0)21 650 5708
 Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Have Any Queries

Contact Us: This email address is being protected from spambots. You need JavaScript enabled to view it.
Track query: support.data1st.org

Social Media

fb-gray  twitter-gray  youtube-gray