Bootstrapping inequality measures under the null hypothesis: Is it worth the effort?

Mark Trede ()

Journal of Economics, 2002, vol. 77, issue 1, 282 pages

Abstract: This paper discusses methods of statistical inference for inequality measures, in particular the nonparametric bootstrap. Standard resampling techniques and a new method for nonparametric resampling under the null hypothesis are discussed. Monte-Carlo simulations show that some bootstrap methods outperform the commonly used normal approximation while other bootstrap methods—including those which are used in most empirical applications—are hardly any better. Copyright Springer-Verlag 2002

Keywords: Statistical Inference; Resampling; Bootstrap; C12; D31; D63 (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:kap:jeczfn:v:77:y:2002:i:1:p:261-282

DOI: 10.1007/BF03052507

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