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How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?

Benedikt M. Pötscher, David Preinerstorfer

arXiv 8 May 2020 · Mathematics — Statistics Theory · publishedEconometric Theory (2022) · 4 citations (OpenAlex)

arXiv:2005.04089 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We develop theoretical finite-sample results concerning the size of wild bootstrap-based heteroskedasticity robust tests in linear regression models. In particular, these results provide an efficient diagnostic check, which can be used to weed out tests that are unreliable for a given testing problem in the sense that they overreject substantially. This allows us to assess the reliability of a large variety of wild bootstrap-based tests in an extensive numerical study.

Citation extraction

40
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appendix boundary found by appendix_command · 63% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Davidson, R. and Flachaire, E (2008) The wild bootstrap, tamed at last0.87482100%
2Davidson, R. and MacKinnon, J. G (1985) Heteroskedasticity-robust tests in regressions directions0.87462100%
3Cribari-Neto, F (2004) Asymptotic inference under heteroskedasticity of unknown form0.81142100%
4Pötscher, B. M. and Preinerstorfer, D (2021) Valid heteroskedasticity robust testing self0.7948450%
5Pötscher, B. M. and Preinerstorfer, D (2018) Controlling the size of autocorrelation robust tests self0.6443267%
6Eicker, F (1963) Asymptotic normality and consistency of the least squares estimators for families of linear regressions0.64422100%
7Eicker, F (1967) Limit theorems for regressions with unequal and dependent errors0.64422100%
8White, H (1980) A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity0.64422100%
9Preinerstorfer, D (2020) wbsd: wild bootstrap size diagnostics, version 1.0.0 self0.64422100%
10Preinerstorfer, D. and Pötscher, B. M (2016) On size and power of heteroskedasticity and autocorrelation robust tests self0.62021524%

Showing the top 10 of 40 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Valid Heteroskedasticity Robust Testing0.794107
2A Necessary and Sufficient Condition for Size Controllability of Heteroskedasticity Robust Test Statistics0.51121