We describe the concept of cointegration, its implications in modelling and
forecasting, and discuss inference procedures appropriate in integrated-co
integrated vector autoregressive processes (VARs). Particular attention is
paid to the properties of VARs, to the modelling of deterministic terms, an
d to the determination of the number of cointegration vectors. The analysis
is illustrated by empirical examples.