How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?

Pötscher, Benedikt M. and Preinerstorfer, David (2020): How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: wild bootstrap-based 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

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