Overview

This unit introduces you to the empirical analysis of relationships between economic variables. The approach is based on linear regression theory, and emphasises 'hands on' data analysis. Topics studied will include properties of least squares estimators, hypothesis testing, the choice of appropriate functional form, the use of dummy variables, issues … For more content click the Read More button below.

Rules

Enrolment Rule

Learning outcomes

On successful completion of this unit, you should be able to:
1.

understand and derive the properties of ordinary least squares in summation and matrix notation

2.

interpret, evaluate and apply inferential methods to multiple linear regression

3.

understand the use and implications of data scaling, functional form and dummy variables in regression modelling

4.

identify the presence of heteroscedasticity, adjust OLS standard errors and perform feasible GLS in regression models

5.

understand issues related to modelling with time-series data.

Teaching approach

Active learning
Problem-based learning

Assessment

1 - Within semester assessment
2 - Examination

Scheduled and non-scheduled teaching activities

Lectures
Tutorials

Workload requirements

Workload

Learning resources

Technology resources

Other unit costs

Costs are indicative and subject to change.
Electronics, calculators and tools: $100