Course Description

Course Name

Introductions to Econometrics

Session: VDNS3121

Hours & Credits

18 Credit Points

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

Statistical and econometric techniques widely used in empirical work in economics and finance, including distribution theory and least squares regression. Computer-based tutorials emphasise practical applications of the techniques examined.

ECON 210 is designed to introduce students to some of the statistical and econometric techniques that are widely used in empirical work in economics and other related disciplines. It covers the basics of estimation and inference in the context of the single-equation linear regression model. The main objective of the paper is to learn how to apply relevant econometric methods to analyse data and interpret the results from such analyses. The focus is on conceptual understanding and ?hands-on' applications using economic data drawn from real-world examples, rather than on formal theoretical proofs. By the end of the paper, students should be able to appreciate and interpret the econometric and statistical analysis reported in many studies in economics and be able to carry out and interpret their own econometric analysis.

Learning Outcomes
The main objective of the paper is to learn how to apply relevant econometric methods to analyse data and interpret the results from such analyses. The focus is on conceptual understanding and 'hands-on' applications using economic data drawn from real-world examples, rather than on formal theoretical proofs. By the end of the paper, students should be able to appreciate and interpret the econometric and statistical analysis reported in many studies in economics and be able to carry out and interpret their own econometric analysis.

*Course content subject to change