This paper investigates the role played by total factor productivity (TFP) in the tradable and nontradable sectors of the United States, the euro area, and Japan in the emergence and evolution of today's global trade imbalances. Simulation results based on a dynamic general equilibrium model of...

We study exchange rate and equity price dynamics, in general equilibrium, in the presence of news shocks about future productivity and monetary policy. We identify a condition under which these asset prices become more volatile without affecting the volatility of the underlying processes-a...

We study equity price volatility in general equilibrium with news shocks about future productivity and monetary policy. As West (1988) shows, in a partial equilibrium present discounted value model, news about the future cash flow reduces asset price volatility. We show that introducing news...

This paper investigates the role played by emerging Asia in the emergence and evolution of the global trade imbalances. Based on simulations in a general equilibrium model of the world economy, we find that a productivity slowdown in the non-tradable sector of these economies in the second half...

This paper investigates the role played by total factor productivity (TFP) in the tradable and nontradable sectors of the United States, the euro area, and Japan in the emergence and evolution of today's global trade imbalances. Simulation results based on a dynamic general equilibrium model of...

We assess the macroeconomic effects of a sovereign restructuring in a small economy belonging to a monetary union by simulating a dynamic general equilibrium model. In line with the empirical evidence, we make the following three key assumptions. First, sovereign debt is held by domestic agents...

This paper investigates the transmission mechanism of monetary policy in the four largest euro area countries by means Bayesian estimation of dynamic econometric models. Based on pre-EMU evidence from Germany, France, Italy, and Spain, we show that: (i) there are differences in the timing of the...

We propose using a Bayesian time-varying coefficient model estimated with Markov chain-Monte Carlo methods to measure contagion empirically. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It...

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...