Chapter 8: Advanced forecasting models

8/1  Regression with ARIMA errors
8/1/1  Modeling procedure
8/1/2  Example: Japanese motor vehicle production
8/1/3  Example: Sales of petroleum and coal products
8/1/4  Forecasting
8/2  Dynamic regression models
8/2/1  Lagged explanatory variables
8/2/2  Koyck model
8/2/3  The basic forms of the dynamic regression model
8/2/4  Selecting the model order
8/2/5  Forecasting
8/2/6  Example: Housing starts
8/3  Intervention analysis
8/3/1  Step-based interventions
8/3/2  Pulse-based interventions
8/3/3  Further reading
8/3/4  Intervention models and forecasting
8/4  Multivariate autoregressive models
8/5  State space models
8/5/1  Some forecasting models in state space form
8/5/2  State space forecasting
8/5/3  The value of state space models
8/6  Non-linear models
8/7  Neural network forecasting
References and selected bibliography
Exercises

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