The role of trend inflation shocks for the U.S. macroeconomic dynamics is investigated by estimating two DSGE models of the business cycle. Policymakers are assumed to be concerned with a time-varying inflation target, which is modeled as a persistent and stochastic process. The identification...

We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles...

We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles...

We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles...

Announcing a quantitative objective for price developments has become a common practice in modern monetary policy making. While the specific features of such announced objectives vary across countries, a common rationale for this is to help anchoring inflation expectations. We use survey data on...

We propose a novel robust test to assess whether an estimated new-Keynesian model is consistent with a unique stable solution, as opposed to multiple equilibria. Our strategy is designed to handle identification failures as well as the misspecification of the relevant propagation mechanisms. We...

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...

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...

Are foreign variables important for tracking U.S. inflation expectations? This paper estimates a reduced-form model which takes into account both domestic and global indicators of economic slack as well as inflationary pressures. Our main findings point towards the instability of the estimated...