Im Rahmen moderner geldpolitischer Strategien spielt das Konzept des Produktionspotenzials eine wichtige Rolle. Es repräsentiert die nachhaltigen Produktionsmöglichkeiten einer Volkswirtschaft, die ohne Gefahren für die Preisstabilität realisiert werden können. Für eine empirische...

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 onexponential lag polynomials for the coe¢ cients, whereas...

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

Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...

This paper considers factor estimation from heterogenous data, where some of the variables are noisy and only weakly informative for the factors. To identify the irrelevant variables, we search for zero rows in the loadings matrix of the factor model. To sharply separate these irrelevant...

In diesem Papier werden eine Reihe von Frühindikatoren für die Entwicklung der Ausrüstungs-, Wirtschaftsbau- und Wohnungsbauinvestitionen in Deutschland untersucht. Die Indikatoren werden auf Basis theoretischer Erwägungen oder wegen ihres technischen Zusammenhangs zur Investitionstätigkeit...

This paper evaluates a novel sampling algorithm, called shotgun stochastic search (S³), for Bayesian model averaging in the context of finding predictors for inflation when the set of potential predictors is large. This is a relevant case in the forecasting literature, where often hundreds of...