Multivariate modelling of non-stationary economic time series (Second edition.)

This work examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration.

Models with expectations are considered along with alternate methods such as Singular Spectrum Analysis (SSA), the Kalman Filter and Structural Time Series, all in relation to cointegration.