We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in the empirical literature on uncertainty: (i) Does...

This paper proposes a new evaluation approach of the class of small-scale `hybrid' New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) models typically used in monetary policy and business cycle analysis. The novelty of our method is that the empirical assessment of the NK-DSGE model...

We propose a novel identification-robust test for the null hypothesis that an estimated new- Keynesian model has a reduced form consistent with the unique stable solution against the alternative of sunspot-driven multiple equilibria. Our strategy is designed to handle identification failures as...

A recent debate in the forecasting literature revolves around the inability of macroecono-metric models to improve on simple univariate predictors, since the onset of the so-called Great Moderation. This paper explores the consequences of equilibrium indeterminacy for quantitative forecasting...

This paper addresses the issue of testing the 'hybrid' New Keynesian Phillips curve (NKPC) through vector autoregressive (VAR) systems and likelihood methods, giving special emphasis to the case where the variables are non-stationary. The idea is to use a VAR for both the inflation rate and the...