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We propose a computationally efficient approximation for the double bootstrap bias adjustment factor without using the … inner bootstrap loop. The approximation converges in probability to the population bias correction factor. We study the … variance than those based on the double bootstrap and, lower adjusted mean-squared error than estimators based on the single …
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(2005) amounting to 26,410 simulated strategies. Finally, using the bootstrap methodology, with 1,000 simulations, we find …
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moderate T. We present a bias correction for this estimator based on an iterative bootstrap procedure. Monte Carlo simulations … show that this procedure is a good alternative for the analytical correction by Kiviet (1995, JE). The bootstrap (i …
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the no quantile treatment effect hypothesis H0: F=G. We develop a bootstrap quantile-treatment-effect test procedure for …
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the paper three variance methods under imputatation are taken into account. Two of them are the well known bootstrap and …
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