Default prior choices fixing Zellner''s g are predominant in the Bayesian Model Averaging literature, but tend to concentrate posterior mass on a tiny set of models. The paper demonstrates this supermodel effect and proposes to address it by a hyper-g prior, whose data-dependent shrinkage adapts...

On February 12, 2010, SUERF, the Oesterreichische Nationalbank and the Bankwissenschaftliche Gesellschaft continued their established tradition of jointly organised conferences. As evidenced also by the 115 conference participants, this year's subject of "Contagion and Spillovers – New...

In this study we evaluate the forecast performance of model averaged forecasts based on the predictive likelihood carrying out a prior sensitivity analysis regarding Zellner’s g prior. The main results are fourfold: First the predictive likelihood does always better than the traditionally...