Resumen
This paper develops a framework for evaluating the importance of the arrival
of new information for forecasting, estimation, and decision making. By fusing
known and recently developed statistical tests and concepts, the paper provides
guidelines for detecting outliers, influential observations, innovations, and
possible breaks in the end of the sample. The methodology is applied to analyze
the Chilean CPI inflation.