It is emphasized that the shocks in structural vector autoregressions are only identified up to sign and it is pointed out that this feature can result in very misleading confidence intervals for impulse responses if simulation methods such as Bayesian or bootstrap methods are used. The...

This paper uses Bayesian methods to estimate a small open economy dynamic stochastic general equilibrium (DSGE) model for the period in Mexico after the 1994 crisis. I consider a Taylor rule as the expression of the evolution of monetary policy to gauge its response to the exchange rate in the...

In an estimated two-country DSGE model, we find that shocks to the marginal efficiency of investment account for more than half of the forecast variance of cyclical fluctuations in the US trade balance. Both domestic and foreign marginal efficiency shocks generate a strong effect on the...

In this paper we investigate a spatial Durbin error model with finite distributed lags and consider the Bayesian MCMC estimation of the model with a smoothness prior. We study also the corresponding Bayesian model selection procedure for the spatial Durbin error model, the spatial autoregressive...

This paper evaluates the domestic and international impacts of lowering short-term interest rates and increasing budget spending on several indicators of liquidity, volatility, credit and economic activity. Data from the 2003–2011 period in the United States, the Euro zone and Canada were used...

We reanalyze endogenous sample selection in the context of customer scoring, targeting, and influencing decisions. Scoring relies on ordered lists of probabilities that customers act in a way that contributes revenues, e.g., purchase something from the firm. Targeting identifies constrained sets...

After the banking crises experienced by many countries in the 1990s and in 2008, financial market conditions have turned out to be a relevant factor for economic fluctuations. The purpose of this paper is to determine whether frictions in financial markets are important for business cycles, and...

Standard practice in Bayesian VARs is to formulate priors on the autoregressive parameters, but economists and policy makers actually have priors about the behavior of observable variables. We show how this kind of prior can be used in a VAR under strict probability theory principles. We state...

This paper analyzes the empirical performance of two alternative ways in which multi-factor models with time-varying risk exposures and premia may be estimated. The first method echoes the seminal two-pass approach introduced by Fama and MacBeth (1973). The second approach is based on a Bayesian...

This paper analyzes the contribution of anticipated capital and labor tax shocks to business cycle volatility in an estimated New Keynesian business cycle model. While fiscal policy accounts for about 15% of output variance at business cycle frequencies, this mostly derives from anticipated...