Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock transmission mechanism. This requires the VAR parameters to be stable over the evaluation and forecast sample, or to explicitly consider parameter time variation. The earlier...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

In this paper we discuss how the point and density forecasting performance of Bayesian vector autoregressions (BVARs) is affected by a number of specification choices. We adopt as a benchmark a common specification in the literature, a BVAR with variables entering in levels and a prior modeled...

This paper develops a method for producing current-quarter forecasts of GDP growth with a (possibly large) range of available within-the-quarter monthly observations of economic indicators, such as employment and industrial production, and financial indicators, such as stock prices and interest...

The estimation of large vector autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

This paper proposes to use No-Arbitrage Affine Term Structure Models as prior information on a Vector Autoregression (VAR) of yields. We evaluate the forecasting performance of the proposed approach against alternative models such as an unrestricted VAR and a Random Walk. As a result, we show...

In this paper we concentrate on the hypothesis that the empirical rejections of the Expectations Theory (ET) of the term structure of interest rates can be caused by improper modelling of expectations. Our starting point is an interesting anomaly found by Campbell-Shiller (1987), when by taking...

We propose a way to test the New Keynesian Phillips Curve without having to estimate its structural parameters. We find that it does not exist as a combination of the structural parameters consistent with the US data. This might be due to the failure of the joint hypothesis of rational expectations.

We develop a general framework for analyzing the usefulness of imposing parameter restrictions on a forecasting model. We propose a measure of the usefulness of the restrictions that depends on the forecaster's loss function and that could be time varying. We show how to conduct inference about...