Showing 1 - 6 of 6
series with a zero spectral density at some frequency. Estimation and inference can be performed using an Instrumental … an analysis of the comovement between Germany, Austria and the United Kingdom is presented. -- common feature analysis …
Persistent link: https://www.econbiz.de/10009612024
Recent investigations of the transmission mechanism of German monetary policy arrive at quite different conclusions regarding its stability during the period of monetary targeting by the Bundesbank. In this study small dynamic models for the monetary sector of the German economy are analyzed in...
Persistent link: https://www.econbiz.de/10009583433
To assess the predictive content of the interest rate term spread for future economic growth, we distinguish short-run from long-run predictability by using two different approaches. First, following Dufour and Renault (1998) a test procedure is proposed to test for causality at different...
Persistent link: https://www.econbiz.de/10009617950
The small sample properties of two types of Chow tests are investigated in the context of multiple time series models. It is found that the tests may have substantially distorted size if the sample size is not large relative to the number of parameters in the model under study. In particular the...
Persistent link: https://www.econbiz.de/10009612028
Most of the empirical studies dealing with international business cycles have disregarded the credibility issues that play an important role in the decision to join or not a monetary union. Most of empirical applications based on asymmetric shocks have failed to account for these aspects. In...
Persistent link: https://www.econbiz.de/10009582416
We show in this article that fractionally integrated univariate models for GDP may lead to a better replication of business cycle characteristics. We firstly show that the business cycle features are clearly affected by the degree of integration as well as by the other short run components of...
Persistent link: https://www.econbiz.de/10009614295