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...

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...

In this study, we examine markups of Austrian banks and their subsidiaries in Central, Eastern and Southeastern Europe (CESEE) on an unconsolidated level. Markups are evaluated by means of the Lerner index by simultaneously estimating a price and a cost function derived from oligopoly theory....

In this paper we investigate dynamics of global inflation and short-run inflation expectations. We estimate a global vector autoregressive (GVAR) model estimated using Bayesian techniques. We then explore the effect of three source of inflationary pressure that could drive up inflation...

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...