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Asymptotic expansions are employed in a dynamic regression model with a unit root inorder to find approximations for the bias, the variance and for the mean squared error of theleast-squares estimator of all coefficients. It is found that in this particular context suchexpansions exist only when...
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It is generally believed that for the power of unit root tests, only the time span and not the observation frequency matters. In this paper we show that the observation frequency does matter when the high-frequency data display fat tails and volatility clustering, as is typically the case for...
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We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed …
Persistent link: https://www.econbiz.de/10011372520
dynamic panel data models. To illustrate particular pitfalls some further Monte Carlo results are produced, obtained from a … moments (GMM) estimators in homoskedastic stable zero-mean panel AR(1) models with random individual specific effects. We …
Persistent link: https://www.econbiz.de/10011348362
Through Monte Carlo experiments the small sample behavior is examinedof various inference techniques for dynamic panel …
Persistent link: https://www.econbiz.de/10011313931
countries. Therefore, we extend the untangling normalization method from an it to an ijt panel data model and use it to exploit …
Persistent link: https://www.econbiz.de/10011791519
Exchange rate returns are fat-tailed distributed. We provide evidence that the apparent non-normality derives from the behavior of macroeconomic fundamentals. Economic and probabilistic arguments are offered for such a relationship. Empirical support is given by testing against normality and...
Persistent link: https://www.econbiz.de/10011349716