hrt
Heteroskedasticity Robust Testing
Functions for testing affine hypotheses on the regression coefficient vector in regression models with heteroskedastic errors: (i) a function for computing various test statistics (in particular using HC0-HC4 covariance estimators based on unrestricted or restricted residuals); (ii) a function for numerically approximating the size of a test based on such test statistics and a user-supplied critical value; and, most importantly, (iii) a function for determining size-controlling critical values for such test statistics and a user-supplied significance level (also incorporating a check of conditions under which such a size-controlling critical value exists). The three functions are based on results in Poetscher and Preinerstorfer (2021) "Valid Heteroskedasticity Robust Testing" doi:10.48550/arXiv.2104.12597.
- Version1.0.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- hrt citation info
- Last release09/08/2021
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David Preinerstorfer
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