Pötscher, Benedikt M. and Preinerstorfer, David (2020): How Reliable are Bootstrapbased Heteroskedasticity Robust Tests?
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Abstract
We develop theoretical finitesample results concerning the size of wild bootstrapbased 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 bootstrapbased tests in an extensive numerical study.
Item Type:  MPRA Paper 

Original Title:  How Reliable are Bootstrapbased Heteroskedasticity Robust Tests? 
Language:  English 
Keywords:  wild bootstrapbased heteroskedasticity robust tests, size distortions 
Subjects:  C  Mathematical and Quantitative Methods > C1  Econometric and Statistical Methods and Methodology: General > C12  Hypothesis Testing: General C  Mathematical and Quantitative Methods > C2  Single Equation Models ; Single Variables 
Item ID:  110613 
Depositing User:  Benedikt Poetscher 
Date Deposited:  12 Nov 2021 08:07 
Last Modified:  12 Nov 2021 08:07 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/110613 
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How Reliable are Bootstrapbased Heteroskedasticity Robust Tests? (deposited 10 May 2020 15:38)
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