We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation in the factor loadings, in the factor dynamics, and in the variance-covariance matrix of innovations. When the time-varying FAVAR is estimated using a large quarterly dataset of...

We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation in the factor loadings, in the factor dynamics, and in the variance-covariance matrix of innovations. When the time-varying FAVAR is estimated using a large quarterly dataset of...

In this paper we rely on techniques recently developed by Bai and Ng (2004a) to estimate common euro-area stationary and non-stationary factors using a large-scale dynamic factor model. We find that euro-area economies share four non-stationary factors or trends and one stationary factor. By...

Die vorliegende Arbeit untersucht, wie sich Angebots-, Nachfrage- und geldpolitische Schocks aus den Vereinigten Staaten auf Deutschland übertragen. Dabei wird ein so genanntes factor-augmented vector autoregressive model (FAVAR) auf einen neu zusammengestellten Datensatz mit mehr als 200...

This paper seeks to assess comovements and heterogeneity in the euro area by fitting a nonstationary dynamic factor model (Bai and Ng, 2004), augmented with a structural factor setup (Forni and Reichlin, 1998), to a large set of euro-area macroeconomic variables observed between 1982 and 2003....

This paper seeks to assess comovements and heterogeneity in the euro area by fitting a nonstationary dynamic factor model (Bai and Ng, 2004), augmented with a structural factor setup (Forni and Reichlin, 1998), to a large set of euro-area macroeconomic variables observed between 1982 and 2003....

In this paper we rely on techniques recently developed by Bai and Ng (2004a) to estimate common euro-area stationary and non-stationary factors using a large-scale dynamic factor model. We find that euro-area economies share four non-stationary factors or trends and one stationary factor. By...

Factor models can cope with many variables without running into scarce degrees of freedom problems often faced in a regression-based analysis. In this article we review recent work on dynamic factor models that have become popular in macroeconomic policy analysis and forecasting. By means of an...