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Foundation of Econometrics 

The purpose of this course is to provide students with an introduction to statistics and econometrics, to successfully study a complete course in econometrics. In addition, the course is designed to enable students to analyse the classical linear regression model, its statistical foundations, and its various estimation techniques

This module can be taken as part of a PG Certificate, PG Diploma or Full Masters Program. 

This module will begin on 14/10/2021.

Final date to apply: 04/10/2021.

Key Skills

Basic statistics and its application to econometrics.

Process of quantitative research enquiry, including formulation of research questions, identification of relevant methodological framework for investigating empirical problems and analysis of the empirical results by verbal, graphical, and econometric means. 

Utilise effectively statistical and other packages.

By the end of this course, participants should have knowledge and ability to: 

Use statistical and other packages effectively, presenting, interpreting and analysing information in numerical form.

Desired Skills

Engage in abstract thinking by extracting the essential features of complex systems to facilitate problem solving and decision-making.

Communicate and present complex arguments in oral and written form with clarity and succinctness.

Use statistical and other packages effectively, presenting, interpreting and analysing information in numerical form.

By the end of this course, students should be able to: 

Apply basic statistical techniques to analyse economic and financial datasets.

Structure

 

Foundation of Econometrics is a core 20 credit course and therefore students are expected to input approximately 200 hours of study into the course.

 

The total number of contact hours is 25 hours. This leaves 175 hours for private study.

This module will be assessed through coursework and examinations.

Lectures

 

 

 

This module consists of 2- hour lectures per day, for 5 consecutive days, plus a 1 - hour tutorial per day.

 There will be optional clinics on the last day of the course.