The recent crisis in the United States has often been associated with substantial amounts of policy uncertainty. In this paper we ask how uncertainty about fiscal policy affects the impact of fiscal policy changes on the economy when the government tries to counteract a deep recession. The...

This paper analyzes the sustainability of fiscal debt contingent on fiscal policy operating in two fiscal regimes. The first regime is characterized by active policy (not reacting to debt) and the other by passive fiscal policy (reacting to debt). The average duration for which either regime can...

This paper analyzes the monetary-fiscal interaction if the central bank conducts quantitative easing. Although asset purchases have similar effects on the real economy under monetary and fiscal dominance, wealth effects yield a qualitatively different response on the rate of inflation. Our...

By applying a Structural Vector Autoregressive (SVAR) approach this paper estimates the effects of fiscal policy shocks of different government sub-sectors on aggregate GDP in Germany. From a general government perspective, the results show that besides investment, it is particularly changes in...

Using an estimated large-scale New-Keynesian model, we assess welfare and business cycle consequences of a fiscal union within EMU. We differentiate between three different scenarios: public revenue equalisation, tax harmonisation and a centralised fiscal authority. Relative to the status quo,...

What happens when fiscal and/or monetary policy changes systematically? We construct a DSGE model in which agents have to estimate fiscal and monetary policy rules and assess how uncertainty surrounding the conduct of policymakers influences transition paths after policy changes. We find that...

This paper identifies U.S. monetary and fiscal dominance regimes using machine learning techniques. The algorithms are trained and verified by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...