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In a high dimensional linear regression model, we propose a new procedure for testing statistical significance of a subset of regression coefficients. Specifically, we employ the partial covariances between the response variable and the tested covariates to obtain a test statistic. The resulting...
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(over which the correlation integral is calculated) are specified. For these ε-ranges new critical values for various …
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When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
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Researchers utilizing regression discontinuity design (RDD) commonly test for running variable (RV) manipulation around a cutoff, but incorrectly assert that insignificant manipulation test statistics are evidence of negligible manipulation. I introduce simple frequentist equivalence testing...
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In instrumental variable regression, structural parameter estimation relies on knowledge of the correlation between the … structural error and the instruments. The current practice is to assume that this correlation is zero. However, this assumption … structural parameters we need to take into account their joint behavior with the correlation between the instruments and the …
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