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...

We examine whether it is socially beneficial for the individual voting records of central bank council members to be published when the general public is unsure about central bankers' efficiency and central bankers are aiming for re-election. We show that publication is initially harmful since...

This paper examines whether it is socially desirable for the individual voting records of central bank council members to be published when central bankers' preferences differ. We show that the misrepresentation of their preferences is not advantageous for central bankers although central...

This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci.cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coeØ cients, whereas...