Showing 1 - 7 of 7
, an archetypal small open economy. We apply "data-rich" factor and shrinkage methods to tackle the problem of efficiently … forecast horizons. The forecasting performance achievable with the data-rich methods differs widely, with shrinkage methods and …
Persistent link: https://www.econbiz.de/10005083140
This paper investigates the transmission of US macroeconomic shocks to Germany by employing a large-dimensional structural dynamic factor model. This framework allows us to investigate many transmission channels simultaneously, including 'new' channels like stock markets, foreign direct...
Persistent link: https://www.econbiz.de/10005083065
From time to time, economies undergo far-reaching structural changes. In this paper we investigate the consequences of structural breaks in the factor loadings for the specification and estimation of factor models based on principal components and suggest test procedures for structural breaks....
Persistent link: https://www.econbiz.de/10005083187
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....
Persistent link: https://www.econbiz.de/10005083190
A high degree of cyclical synchronization between central and east European countries (CEECs) and the euro area is generally seen as a prerequisite for successful EMU enlargement. This paper investigates comovements between CEECs and the euro area. We first establish stylized facts on economic...
Persistent link: https://www.econbiz.de/10005083270
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...
Persistent link: https://www.econbiz.de/10005083327
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...
Persistent link: https://www.econbiz.de/10005083316