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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...
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This paper compares different ways to estimate the current state of the economy using factor models that can handle unbalanced datasets. Due to the different release lags of business cycle indicators, data unbalancedness often emerges at the end of multivariate samples, which is sometimes...
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-Euro period or by using just data from Germany for the pre-Euro period. Our forecast comparison is based on quarterly data for the … nonlinear or time-varying coefficient models. It turns out that most variables which have a similar level for Germany and the … that for variables which have a similar level for Germany and the Euro-area it may be reasonable to consider the German pre …
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