In this paper we are interested in inference based on heteroskedasticity consistent covariance matrix estimators, for which the appropriate bootstrap is a version of the wild bootstrap. Simulation results, obtained by a new very efficient methos, show that all wild bootstraps tests exhibit substantial size distortion if the error terms are skewed and strongly heteroskedastic.
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Paper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number
99a32.
Length: 38 pages Date of creation: 1999 Date of revision: Handle: RePEc:fth:aixmeq:99a32
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Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
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