We propose the use of likelihood-ratio-based confidence sets for the timing of structural breaks in parameters from time series regression models. The confidence sets are valid for the broad setting of a system of multivariate linear regression equations under fairly general assumptions about...

In light of the rising political and economic uncertainty in Europe, we aim to provide a basic understanding of the impact of economic policy uncertainty and financial market uncertainty on a set of macroeconomic variables such as production, consumption and investment. In this paper, we apply a...

We take the neoclassical perspective and apply the business cycle accounting method as proposed by Chari, Kehoe, and McGrattan (2007, Econometrica) for the Great Recession and the associated stimulus program in Germany 2008-2009. We include wedges to the variables government consumption,...

In light of the rising political and economic uncertainty in Europe, we aim to provide a basic understanding of the impact of economic policy uncertainty and financial market uncertainty on a set of macroeconomic variables such as production, consumption and investment. In this paper, we apply a...

We study the time-varying impact of Economic Policy Uncertainty (EPU) on the US Economy by using a VAR with time-varying coefficients. The coefficients are allowed to evolve gradually over time which allows us to discover structural changes without imposing them a priori. We find three different...

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances is...

This paper investigates private net saving in the US economy - divided into its principal components, households and (nonfinancial) corporate financial balances - and its impact on the GDP cycle from the 1980s to the present. Furthermore, we investigate whether the financial markets (stock...

We propose the use of likelihood-ratio-based con fidence sets for the timing of structural breaks in parameters from time series regression models. The con fidence sets are valid for the broad setting of a system of multivariate linear regression equations under fairly general assumptions about...

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances...

This article estimates the effects of monetary policy on components of aggregate demand using quarterly data on Turkish economy from 1987–2008 by means of structural Vector Autoregression (VAR) methodology. This study adopts Uhlig's (2005) sign restrictions on the impulse responses of main...