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In this note the unobserved component approach underlying the software package SEATS is compared with the Beveridge-Nelson type of decomposition for seasonal time series. The main strength of the SEATS approach lies in the appealing model formulation and the careful specification and adjustment...
Persistent link: https://www.econbiz.de/10009574877
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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
In this experimental study of tax evasion and its determinants participants earn their income in a complex stochastic intertemporal environment including the possibility to invest into a risky asset. The earned income has to be declared in four tax returns which are randomly verified. If tax...
Persistent link: https://www.econbiz.de/10009583891
This paper uses fractional integration and cointegration in order to model the DM/dollar and the yen/dollar real exchange rates in terms of both monetary and real factors, more specifically real interest rate and labour productivity differentials. We find that whilst the individual series may be...
Persistent link: https://www.econbiz.de/10009611542
in Germany in the period of monetary targeting from 1975 to 1998 is estimated. The implications of the theoretical model …. -- monetary policy ; Endogenous money ; industrial organization approach to banking theory ; money multiplier ; vector error …
Persistent link: https://www.econbiz.de/10009620766
related to relatively infrequent changes in regime. U sing the theory of Markov chains we provide sufficient conditions for …
Persistent link: https://www.econbiz.de/10009621424
technique is based on the theory generalized partial linear models. We illustrate the advantages of this approach using a …
Persistent link: https://www.econbiz.de/10009627282