This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the methodology originally developed by Litterman (1986) and Doan et al. (1984) and review alternative...

We develop and solve a dynamic optimization model of a bank's balance sheet, highlighting the critical factors influencing banks' optimization dynamics: balance sheet adjustment costs and the spreads between bank-specific lending and deposit rates and the interbank rate. We apply the model to...

This paper decomposes the time-varying effect of exogenous exchange rate shocks on euro area countries in ation into country-specific (idiosyncratic) and region-wide (common) components. To do so, we propose a exible empirical framework based on dynamic factor models subject to drifting...

This paper proposes a vector autoregressive model with structural shocks (SVAR) that are identified using sign restrictions and whose distribution is subject to time-varying skewness. It also presents an efficient Bayesian algorithm to estimate the model. The model allows for the joint tracking...