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Synopsis
Reliable forecasts of business and economic variables must often be obtained against a backdrop of structural change in markets and the
economy. This unit provides a practical introduction to methods suitable for forecasting in these circumstances including the classical
decomposition of time series, exponential smoothing, Box-Jenkins ARIMA modelling, and regression with auto-correlated disturbances.
It also provides an introduction to applied multiple regression analysis. Students can expect to enhance their computer skills with
exercises using advanced features of Microsoft Excel and an econometrics package.
Objectives
The learning goals associated with this unit are to:
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