This paper analyses the long-memory properties of both the conditional mean and variance of UK real GDP over the period 1851-2013 by estimating a multivariate ARFIMA-FIGARCH model (with the unemployment rate and inflation as explanatory variables). The results suggest that this series is...

In diesem Papier wird an Hand eines Vektorfehlerkorrekturmodells (VECM) für den französischen Arbeitsmarkt untersucht, wie sich die dort Anfang 2000 eingeführte Verkürzung der Regelarbeitszeit in Verbindung mit Subventionen der Sozialversicherungsbeiträge ausgewirkt hat. Theoretisch sind...

We extend the analysis of Christoffersen and Diebold (1998) on long-run forecasting in cointegrated systems to multicointegrated systems. For the forecast evaluation we consider several loss functions, each of which has a particular interpretation in the context of stock-flow models where...

The energy transition requires substantial amounts of metals such as copper, nickel, cobalt and lithium. Are these metals a key bottleneck? We identify metal-specific demand shocks, estimate supply elasticities and pin down the price impact of the energy transition in a structural scenario...

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...

We evaluate the informational content of ex post and ex ante predictors of periods of excess stock (market) valuation. For a cross section comprising 10 OECD economies and a time span of at most 40 years alternative binary chronologies of price bubble periods are determined. Using these...

We assess the contribution of macroeconomic uncertainty -- approximated by the dispersion of the real GDP survey forecasts -- to the ex post and ex ante prediction of stock price bubbles. For a panel of six OECD economies covering 24 years, two alternative binary chronologies of bubble periods...

Wir untersuchen anhand von repräsentativen Daten für die Privatwirtschaft (Verdienststrukturerhebung 2018) Anteile und Höhe von umgewandelten Entgelten nach verschiedenen individuellen und betrieblichen Merkmalen von Arbeitnehmerinnen und Arbeitnehmern in Deutschland für das Jahr 2018....

Wir untersuchen erstmals anhand von repräsentativen Daten für die Privatwirtschaft (Verdienststrukturerhebung 2014) Anteile und Höhe von umgewandelten Entgelten nach verschiedenen individuellen und betrieblichen Merkmalen der Beschäftigten in Deutschland. Deskriptive wie multivariate...

This paper considers the issue of forecasting financial fragility of banks and insurances using a panel data set of performance indicators, namely distance-to- default, taking unobserved common factors into account. We show that common factors are important in the performance of banks and...