We employ a money-based early warning model in order to analyse the risk of a low inflation regime in the Euro Area, Japan and the US. The model specification allows for three different inflation regimes: "Low", "Medium" and "High" inflation, while state transition probabilities vary over time...

Due to their well-known indeterminacies, factor models require identifying assumptions to guarantee unique parameter estimates. For Bayesian estimation, these identifying assumptions are usually implemented by imposing constraints on certain model parameters. This strategy, however, may result...

This paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany, combining rich individual-level household panel data with administrative county level information to estimate spatial county-level health dependencies. As dependent variable, we...

Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....

In this paper, we analyse nominal exchange rate and price dynamics after risk shocks with short-term interest rates constrained by the zero lower bound (ZLB). We show with a stylized theoretical model that temporary risk shocks may lead to permanent shifts of the exchange rate and the price...