Partial concurrent adjustment → Estimate regression coefficients + Last outliers

The Partial concurrent adjustment → Estimate regression coefficients + Last outliers strategy means that the ARIMA model, outliers (except for the last year of the sample) and other regression parameters are not re-identified. All parameters of the RegARIMA model are re-estimated. The software tests for outliers in the last year of the data span and will include in the model those which are statistically significant. The transformation type remains unchanged.

The picture below presents the initial model (on the left) and the results of the refreshment procedure with the Partial concurrent adjustment → Estimate regression coefficients + Last outliers option (on the right). The parameters of the ARIMA part have been re-estimated and their values have been updated. Also the regression coefficients have been re-estimated. The number of estimated coefficients in the revised model is larger than the initial model because an additional outlier has been identified in the last year of the data span.

The Partial concurrent adjustment → Estimate regression coefficient + Last outliers revision policy results