Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...

Mit den diesjährigen Trägern des Nobelpreises für Wirtschaft, Robert. F. Engle und Clive W.J. Granger, werden zwei Vertreter der Zeitreihenökonometrie geehrt. Wie hat sich durch ihr Werk die statistische Analyse ökonomischer Zeitreihen verändert? Wie wird heute Volatilität auf...

In this paper, we investigate the impact of the adjustment for seasonal effects with different seasonal adjustment methods, the possible pre-treatment for calendar effects and the different order of aggregation and adjustment for the determination of the turning points of the European business...

Most of the Euro-zone economic short-term indicators are computed through aggregation from Member States data. The seasonally adjusted figures can be calculated by seasonally adjusting the aggregate (direct approach) or aggregating the seasonally adjusted national data (indirect approach)....

This paper investigates the Euro-area business cycle using a multivariate autoregressive time series model with cointegration. The cointegration restrictions help to identify permanent and transitory shocks which form the stochastic part of trend and cyclical GDP, respectively. The...

Putting the high public debt ratios on a downward path after the surge during the pandemic and allocating sufficient resources to deliver on the green and digital transition will be among the priorities confronting the EU institutions emerging from the June 2024 European elections. After a long...