We analyze Granger causality testing in a mixed-frequency VAR, where the difference in sampling frequencies of the variables is large. Given a realistic sample size, the number of high-frequency observations per low-frequency period leads to parameter proliferation problems in case we attempt to...

This paper presents a new approach for modelling the connectedness between asset returns. We adapt the measure of Diebold and Yılmaz (2014), which is based on the forecast error variance decomposition of a VAR model. However, their connectedness measure hinges on critical assumptions with...

In this paper we study the finite sample and asymptotic properties of various weighting estimators of the local average treatment effect (LATE), several of which are based on Abadie's (2003) kappa theorem. Our framework presumes a binary treatment and a binary instrument, which may only be valid...

We study the impact of the interaction between fiscal and monetary policy on the low-frequency relationship between the fiscal stance and inflation using crosscountry data from 1965 to 1999. In a first step, we contrast the monetary-fiscal narrative for Germany, the U.S. and Italy with evidence...

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...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed whenthe ratio of volatilities is time-varying....