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.
Personal Details
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Stata Skills
Course participants should be familiar with Stata and with basic statistical tools.
Are you familiar with Stata and basic statistical tools *
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We would like to know whether you are working, studying, both or neither as this will help us tailor the course to participants appropriately
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Please note that this course is is aimed at postgraduate students (Masters and Ph.D.), researchers, and officials in state agencies.
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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)
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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.
Partial Scholarship *
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 - www.datafirst.uct.ac.za
For more information about SALDRU - www.saldru.uct.ac.za

Disclaimer: DataFirst reserves the right to cancel if there is not enough interest in the workshop.

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