We examine real business cycle convergence for 41 euro area regions and 48 US states. Results obtained by a panel model with spatial correlation indicate that the relevance of common business cycle factors is rather stable over the past two decades in the euro area and the US. Ongoing business...

The appropriately selected leading indicators can substantially improve the forecasting of the peaks and troughs of the business cycle. Using the novel methodology of the dynamic bi-factor model with Markov switching and the data for the three largest European economies (France, Germany, and UK)...

In this paper, we make multi-step forecasts of the annual growth rates of the real GDP for each of the 16 German Länder (states) simultaneously. Beside the usual panel data models, such as pooled and fixed-effects models, we apply panel models that explicitly account for spatial dependence...

In this paper we analyze the impact of the economic reforms implemented in 1980s and of the Custom Union Agreement of 1996 on the intra-industry trade in Turkey. Using the panel data for 15 trading partners of Turkey and the sample period 1970-2005, we record the positive impact of both reforms...

The article provides a short overview of approaches to business cycle dating - methods based on the observation of macroeconomic time series and their time relation (leading, coincident, and lagging) to aggregate economic activity, as well as econometric decomposition into trend and cycle...

German business cycle forecasts refer to the whole country. However, the usefulness of these forecasts at the regional level is not uncontroversial. Significant deviations between regional and national forecasts could occur if the sectoral structure is different. In this case, the forecast for...

This paper sets up a common unobserved factor model with smooth transition autoregressive dynamics. This model is compared to the already classical common factor model with regime-switching. Both models' in-sample and out-of-sample performance in terms of capturing and predicting the business...

This paper proposes a dynamic bi-factor model with Markov switching which detects and predicts turning points of the German business cycle. It estimates simultaneously the composite leading indicator (CLI) and composite coincident indicator (CCI) together with corresponding probabilities of a...

Die geplante Stärkung der Eigenverantwortlichkeit der Länder im Zuge der Föderalismusreformen wird zu einem erhöhten Bedarf an Konjunkturprognosen für Bundesländer führen. Während in Deutschland für die Konjunkturbeobachtung auf gesamtstaatlicher Ebene Quartalsdaten zur Verfügung...

Die aktuelle Wirtschaftskrise wirft die Frage auf, ob nicht durch eine bessere Ausschöpfung der in den verschiedenen Frühindikatoren enthaltenen Informationen die aufgetretenen Prognosefehler hätten vermieden werden können. Dies gilt insbesondere vor dem Hintergrund des überraschend...