Econometrics Short Course 2019
This course will revise the statistical concepts relevant to regression analysis. It will then introduce Ordinary Least Squares regression and discuss how and why it is used. Violations of the assumptions required for OLS and their implications will also be covered. Inference in multiple regression is the last topic in basic regression. The course then covers regression with qualitative variables (including Linear Probability models, logits and probits). The final day is devoted to specification and data issues in regression analysis.

This course will run from 21 to 25 January 2019.

Course participants should be familiar with Stata and with basic statistical tools.

Cost of the Course: The cost of the course is R 9 6000.00. 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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Scholarships
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.
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Applications close on 10 October 2018 . You will be informed of whether your application was successful by 31 October 2018. 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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