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This paper considers new measures of mutual dependence between multiple multivariate random processes representing multidimensional functional data. In the case of two processes, the extension of functional distance correlation is used by selecting appropriate weight function in the weighted...
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This paper considers the algorithmic implementation of the heteroskedasticity and autocorrelation consistent (HAC) estimation problem for covariance matrices of parameter estimators. We introduce a new algorithm, mainly based on the fast Fourier transform, and show via computer simulation that...
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(GMM) estimator no less efficient than the FEP estimator and the estimator using the new instruments. A simulation study … shows that the overidentfied GMM estimator behaves well in terms of bias and it often delivers nontrivial efficiency gains …
Persistent link: https://www.econbiz.de/10013556880
In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings …
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