This paper discusses pooling versus model selection for now- and forecasting in the presence of model uncertainty with large, unbalanced datasets. Empirically, unbalanced data is pervasive in economics and typically due to different sampling frequencies and publication delays. Two model classes...

This paper discusses pooling versus model selection for now- and forecasting in the presence of model uncertainty with large, unbalanced datasets. Empirically, unbalanced data is pervasive in economics and typically due to di¤erent sampling frequencies and publication delays. Two model classes...

Die Prognose von makroökonomischen Zeitreihen steht häufig vor dem Problem, dass die verwendeten Indikatoren und die Zielzeitreihe in verschiedenen Frequenzen vorliegen. So ist das Bruttoinlandsprodukt nur auf Quartalsbasis verfügbar, während die meisten Indikatoren, wie z.B. das ifo...

This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...