The paper provides new tools for the evaluation of DSGE models, and applies it to a large-scale New Keynesian dynamic stochastic general equilibrium (DSGE) model with price and wage stickiness and capital accumulation. Specifically, we approximate the DSGE model by a vector autoregression (VAR),...

This paper deals with the usefulness of several measures of financial spreads (the slope of the yield curve, the reverse yield gap, the credit quality spread) for fore-casting real economic activity and inflation in the euro area. A quarterly Bayesian vector autoregression model is used to...

Prepared for the Handbook of Economic Forecasting, vol 2 This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and spe-...

Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...

Using the aggregate number of oil rigs as a proxy of oil investment, I evaluate the bidirectional relationship between oil prices and oil investment in OPEC and Non-OPEC countries. We take advantage of Bayesian estimation techniques and innovation accounting to incorporate the long run dynamics...

Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...