ETF3200 · Applied econometrics

Overview

This unit provides you with an understanding of techniques in modern econometrics widely used for answering empirical questions in business and economics. You will learn to apply these methods to real-world problems and data using appropriate statistical software. The topics covered include multiple regression analysis, instrumental variables estimation, modeling discrete dependent variables, analysis of data sets that have both a cross-section and a time-series dimension, and difference-in-differences method.

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. explain applied econometric concepts such as causal effects, endogeneity, selection bias, and simultaneity
2. understand the techniques in modern econometrics discussed in the unit including multiple regression analysis, instrumental variables estimation, modelling of discrete dependent variables, panel data analysis, and differences-in-differences method
3. use statistical software to manage data and conduct empirical analysis using the econometric techniques discussed
4. interpret empirical findings and discuss potential problems and limitations of empirical studies in business and economics.

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.