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the cluster-jackknife variance matrix estimator as well as linearized versions of the wild cluster bootstrap. The …
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We propose and study a class of regression models, in which the mean function is specified parametrically as in the existing regression methods, but the residual distribution is modeled nonparametrically by a kernel estimator, without imposing any assumption on its distribution. This...
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(g) can be carried out by using by using the bootstrap. An empirical application illustrates the usefulness of shape …
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