Understanding Panel Survey Data 2020
The aim of the course is to introduce students to the techniques used in the analysis of “cross-sectional” panel data sets, such as the National Income Dynamics Study (NIDS). The course will begin with an introduction to using and analysing panel data. The course will cover first differencing, fixed effects and random effects regression estimators as well as the construction and evaluation of transition matrices. Students will also be introduced to the problem of differential attrition.
Course participants should be familiar with Stata and with basic statistical tools
This course will run from 3 to 7 February 2020.
Cost of the Course: R 10 500.00 but partial scholarships are available to bona fide students and academics.
PLEASE NOTE: Accommodation and transport costs are for your own account.
Please complete all the sections.
Confirm email address
Course participants should be familiar with Stata and with basic statistical tools.
Are you familiar with Stata and basic statistical tools
Yes I know Stata and use it often.
Yes I am somewhat familiar with Stata and statistical tools.
No I do not know Stata but have used another statistical package.
No I have not used Stata or a statistical package.
Current employment status
We would like to know whether you are working, studying, both or neither as this will help us tailor the course to participants appropriately
Employed and studying
Neither employed and studying
Name of organisation/institution if employed or studying
If unemployed, please enter N/A
Highest completed qualification
Please note that this course is is aimed at postgraduate students (Masters and Ph.D.), researchers, and officials in state agencies.
Name of educational institution of highest qualification
Where did you obtain your highest qualification?
University of Cape Town
University of Stellenbosch
University of the Western Cape
University of Johannesburg
University of Pretoria
University of the Free State
University of the Witwatersrand
University of Fort Hare
University of Limpopo
University of Lesotho
University of Zululand
Nelson Mandela Metropolitan University
Cape Peninsula University of Technology
Account Details for UCT Network
In order to create an account for you to access the computers and internet at UCT, we need one of the following forms of identification: your South African ID number, passport number or current UCT student/staff number (ONLY for UCT students/staff)
South African ID number
UCT student/staff number (only for current UCT students/staff)
Partial scholarships are available to bona fide students and academics. To qualify you must submit a motivation from your Supervisor/Head of Department. We will contact you for your motivation.
Are you an academic or student
Applications close on 18 October 2019. You will be informed of whether your application was successful by 31 October 2019. If you have NOT heard from us by this date, please consider your application unsuccessful.
This is a joint DataFirst and SALDRU course.
For more information about DataFirst -
For more information about SALDRU -
Disclaimer: DataFirst reserves the right to cancel if there is not enough interest in the workshop.
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