ETW3450 - Applied time series econometrics - 2019

Time series is any series of observations ordered along a time dimension. This unit introduces students 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. The unit will enable students to undertake independent time series analysis on a broad range of business and economic data. Examples in business and economics will be drawn to illustrate the application of techniques covered in this unit.

The learning goals associated with this unit are to:

1. derive the assumptions necessary for a time series to be stationary
2. demonstrate understanding in the importance of distinguishing stationary and non-stationary time series
3. perform tests for the presence of a unit root in a univariate time series
4. develop models and analyse relationships between multivariate stationary time series
5. develop models and to test for, estimate and interpret long run relationships between non-stationary variables
6. develop basic coding skills in performing time series analysis.

Within semester assessment: 50% + Examination: 50%

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. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

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