We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial...

The "Centrope – Middle European Region" was established in 2003 by representatives of the cities and regions of Vienna, Lower Austria, Burgenland, West Transdanubia, Bratislava, Western Slovakia, and South Moravia. As an institutional framework for cross-border cooperation, it is supposed to...

The intensity of competition in Central, Eastern and Southeast Europe stylized facts and repercussions for sectoral price developments (by M. Feldkircher, R. Martin and J. Wörz; pp. 1-7) Keywords inflation, mark-ups, competition, concentration Countries covered CEE, SEE Topics Macroeconomic...

We examine the international effects of adverse loan supply and aggregate demand shocks originating in the euro area and the U.S.A. For that purpose, we use a global vector autoregressive (GVAR) model and isolate disturbances stemming from loan supply from those of four other macroeconomic...

We analyze how modeling international dependencies improves forecasts for the global economy based on a Bayesian GVAR with SSVS prior and stochastic volatility. To analyze the source of performance gains, we decompose the predictive joint density into its marginals and a copula term capturing...

We analyze how modeling international dependencies improves forecasts for the global economy based on a Bayesian GVAR with SSVS prior and stochastic volatility. To analyze the source of performance gains, we decompose the predictive joint density into its marginals and a copula term capturing...

We study empirically the role that initial conditions played in the emergence of cross-country heterogeneity in real output loss during the recent global financial crisis. We use a global sample covering over 150 countries and focus on the differences in the determinants of the crisis in...

In this paper we examine macroeconomic, external and financial vulnerabilities of 22 Central, Eastern and Southeastern European (CESEE) economies. Our assessment is based on a nonparametric signaling or threshold approach, which involves monitoring selected indicators that show unusual behavior...

This paper puts forward a global macro model comprising 43 countries and covering the period from Q1 1995 to Q4 2011. Our regional focus is on countries in Central, Eastern and Southeastern Europe (CESEE) and the Commonwealth of Independent States (CIS). Applying a global VAR (GVAR) model, we...