Flachaire, Emmanuel - 2008
Various versions of the wild bootstrap are studied as applied to regression models with heteroskedastic errors. It is shown that some versions can be qualified as amp;apos'tamedamp;apos', in the sense that the statistic bootstrapped is asymptotically independent of the distribution of the wild...