ETC2410 · Introductory econometrics

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 around modelling survey data and the problems of serial correlation, heteroscedasticity and multicollinearity.

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.