| Unit name | Time Series Econometrics |
|---|---|
| Unit code | ECONM3022 |
| Credit points | 15 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. David Pacini |
| Open unit status | Not open |
| Pre-requisites |
ECONM1022 Econometrics None |
| Co-requisites |
None |
| School/department | School of Economics, Finance and Management |
| Faculty | Faculty of Social Sciences and Law |
An introduction to the analysis of time series using economic data. The course will cover stationary and non-stationary times series and concentrate on the modelling of times series - including model estimation and the use of the models in forecasting. The modelling will include both econometric models and statistical models and compare their uses, advantages and disadvantages.
Students should be able to construct simple statistical models to describe economic time series data. They should be able to identify the type of model to fit to the data, to estimate and apply diagnostic tests to the model and to produce forecasts from the model. They should also be able to discuss the advantages of the chosen model form.
Lectures and classes
Summative assessment is by 3 hour unseen exam which tests the learning outcomes specified above.
Formative assessment is by exercises and computer work.
