Aims

The course Econometric Analysis provides students with a grounding in basic econometric methods. The techniques learnt in this course are part of an economist's essential 'tool kit'. It will provide students with an understanding of the basic techniques of multiple regression analysis and enable them to interpret and critically evaluate the results of empirical research in economics.

Outline Of Syllabus

The topics in semester 1 concentrate on single and multiple equation regression models and the application of Ordinary Least Squares (OLS) regression analysis:
1.       Ordinary Least Squares (OLS) Model: Background and Estimation
2.       Assumption of the OLS model
3.       Properties of the OLS model: Unbiasedness and Efficiency
4.       Hypothesis Testing
5.       Goodness of Fit and Analysis of Variance
6.       Functional Forms of Regression Models
7.       Multiple Regression Analysis
8.       Dummy Variables

Teaching Rationale And Relationship

Lectures provide the basic technical structure of the methods introduced and an overview of the basic empirical modelling methods.

Small group teaching provide an opportunity to enhance both theoretical and practical aspects of modelling.

Assessment Rationale And Relationship

The examination tests understanding of the theoretical modelling elements of the course as well as that of empirical modelling methods. It is the appropriate way of assessing theoretical knowledge. Alternative examination of 24 hour online take-home exam in the event of in-person assessments not taking place.