Intro to Time Series
The adjustment coefficient is a parameter used in error correction models to indicate the speed at which a dependent variable returns to equilibrium after a disturbance. It reflects how quickly the model adjusts to deviations from the long-term relationship established through cointegration. A higher adjustment coefficient suggests that the variable responds more rapidly to changes, making it crucial for understanding dynamic relationships between time series data.
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