ETW3450 · Applied time series for policy analysis

Overview

Time series is any series of observations ordered along a time dimension. This unit introduces you to the theory and application of time series methods in econometrics. Topics covered will include modern univariate and multivariate models of stationary and non-stationary time series. You will be able to undertake independent time series analysis on a range of business and economic data. You can also expect to enhance their computer skills in R when conducting empirical analysis.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

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

Requisites

Learning outcomes

1. derive statistical properties of stationary and non-stationary time series processes
2. utilise informal and formal tests for unit roots in univariate time series
3. develop appropriate models for multivariate stationary and non-stationary time series
4. conduct statistical inference on multivariate stationary and non-stationary time series

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.