Higher order properties of the wild bootstrap under misspecification
By: Patrick M. Kline, Andres Santos
Contributors: Santos, Andres; National Bureau of Economic Research
Series: NBER working paper series -- working paper 16793; Working paper series (National Bureau of Economic Research : Online) -- working paper no. 16793.
Publisher: National Bureau of Economic Research
Published: 2011
Place of publication: Cambridge, MA
Language: eng
Format: Electronic resource
Description: "We examine the higher order properties of the wild bootstrap (Wu, 1986) in a linear regression model with stochastic regressors.  We find that the ability of the wild bootstrap to provide a higher order refinement is contingent upon whether the errors are mean independent of the regressors or merely uncorrelated.  In the latter case, the wild bootstrap may fail to match some of the terms in an Edgeworth expansion of the full sample test statistic, potentially leading to only a partial refinement (Liu and Singh, 1987).  To assess the practical implications of this result, we conduct a Monte Carlo study contrasting the performance of the wild bootstrap with the traditional nonparametric bootstrap"--National Bureau of Economic Research web site.
Notes: Title from PDF file as viewed on 5/17/2011.

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