We reexamine whether pre-Volcker U.S. fiscal policy was active or passive. To do so, we estimate a DSGE model with monetary and fiscal policy interactions employing a sequential Monte Carlo algorithm (SMC) for posterior evaluation. Unlike existing studies, we do not have to treat each policy...

We revisit the question whether U.S. fiscal policy in the pre-Volcker period was active or passive. To determine the policy stance, we estimate a DSGE model with monetary and fiscal policy interactions employing a sequential Monte Carlo algorithm (SMC) for posterior evaluation. In contrast to...

In this study, we test whether three popular measures for monetary policy, that is, Romer and Romer (2004), Barakchian and Crowe (2013), and Gertler and Karadi (2015), constitute suitable proxy variables for monetary policy shocks. To this end, we employ different test statistics used in the...

We reexamine whether pre-Volcker U.S. fiscal policy was active or passive. To do so, we estimate a DSGE model with monetary and fiscal policy interactions employing a sequential Monte Carlo algorithm (SMC) for posterior evaluation. Unlike existing studies, we do not have to treat each policy...

Market participants are generally in agreement that the coronavirus pandemic will have a severe impact on the European economy, but it is difficult to predict the length and extent of the pandemic’s effects. However, using the yield curves of corporate bonds, we can reach some preliminary...

Seit Mitte des vergangenen Jahres steigt die Inflation im Euroraum beträchtlich. Grund sind insbesondere die verteuerten Energiepreise. Der russische Angriff auf die Ukraine seit Ende Februar hat diesen Trend noch einmal verschärft. Um die Preise stabil zu halten, müsste die Europäische...

In this paper we propose a novel methodology to analyze optimal policies undermodel uncertainty in micro-founded macroeconomic models. As an application weassess the relevant sources of uncertainty for the optimal conduct of monetary policy within (parameter uncertainty) and across models...