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Abstract We provide an altrnative proof that the Ordinary Least Squares estimator is the (conditionally) best linear unbiased estimator.
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We provide a familiy of tests for the IID hypothesis based on generalized runs, powerful against unspecified alternatives, providing a useful complement to test designed for specific alternatives, such as serial correlation, GARCH, or structural breaks. Our tests have appealing computational...
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