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Corruption undermines economic development and therefore it is one of the major factors hindering economic growth and political stability, especially in the developing countries. Studies in recent years show that countries with rich natural resources have the potential to shape corruption....
Persistent link: https://www.econbiz.de/10010933195
significantly increased out-of-sample forecast performance. …
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feasible generalized least square (FGLS) estimator. As a result FGLS estimator shows comparable performance to ML estimator … the performance of FGLS-GARCH estimator is as good as that of MLE and both estimators are better than OLS and the standard …
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This article is concerned with the dynamic behaviour of UK unemployment. However, instead of using traditional approaches based on I(0) stationary or I(1) (integrated and/or cointegrated) models, we use the fractional integration framework. In doing so, we allow for a more careful study of the...
Persistent link: https://www.econbiz.de/10009582384
Let a process SI , ... ,ST obey the conditionally heteroskedastic equation St = Vt Et whcrc Et is a random noise and Vt is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an additional noise nt. We consider the situation which the...
Persistent link: https://www.econbiz.de/10009582392
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 this article we model the log of the U.S. and the U.K. real oil prices in terms of fractionally integrated processes with a mean shift. We use different versions of the tests of Robinson (1994), which have standard null and local limit distributions. The results indicate that if we model the...
Persistent link: https://www.econbiz.de/10009611543