Showing 1 - 6 of 6
We explore whether finance influences the impact of labour market institutions onunemployment. Using a data set of 18 OECD countries over 1980-2004, we estimate a panelVectorAutoRegressive model. We check whether causalities from labour market variables tounemployment are affected by financial...
Persistent link: https://www.econbiz.de/10009360534
This paper investigates the finite sample properties of confidence intervals for structural vector error correction models (SVECMs) with long-run identifying restrictions on the impulse response functions. The simulation study compares methods that are frequently used in applied SVECM studies...
Persistent link: https://www.econbiz.de/10005861837
In recent policy debates some have argued that expansionary monetarypolicy in Japan can increase real output in Japan and in Japans neighbors,while others have warned that it is a beggar-thy-neighbor policy. In this paper weestimate structural vector autoregressions to assess the effects of...
Persistent link: https://www.econbiz.de/10005861846
This paper shows how to identify the structural shocks of a Vector Autoregression(VAR) while at the same time … proposes a framework to estimate the parameters of the VAR modeland the DSGE model jointly: the VAR model is identified by sign …
Persistent link: https://www.econbiz.de/10005862543
The purpose of this study is to investigate the dynamic relationships between some key variables for the euro area by means of a systems approach (i.e. so-called Vector Autoregression) and to simulate their responses with respect to monetary policy shocks. The main result is that rather simple...
Persistent link: https://www.econbiz.de/10005865710
Evidence on the interdependency between monetary policy and the state of thebanking system is scarce. We suggest an integrated micro-macro approach with twocore virtues. First, we measure the probability of bank distress directly at the banklevel. Second, we integrate a microeconomic hazard...
Persistent link: https://www.econbiz.de/10005866368