Applied Forecasting for Business and Economics
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 R.