This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vector autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

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 the effects of euro area monetary policy on three Central and Eastern European non-euro area EU countries: the Czech Republic, Poland and Hungary. We employ an open economy version of the factor-augmented vector autoregression model (FAVAR) to estimate the cross-border effects of a...

In this paper we examine the spillovers of a shock to real output in the euro area to Central, Eastern and Southeastern Europe (CESEE) and its subregions Central Europe, Southeastern Europe, Russia, and the other members of the Commonwealth of Independent States (CIS). To this effect, we apply a...

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...

Using data for EU-27 NUTS 2 regions and major cities, we evaluate empirically the role of urban growth spillovers as a determinant of income dynamics at the regional level. We go beyond the empirically well documented static relationship between national income and productivity in urban...

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...