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inconsistent. The bias arises in settings with many regressors because the normalized OLS design matrix remains asymptotically … random and correlates with the regression error when only weak (but not strict) exogeneity holds. This bias' magnitude … increases with the number of regressors and their average autocorrelation. We propose an innovative approach to bias correction …
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the bias is larger for a more persistent factor. In such a case, bootstrap procedures are effective in reducing the bias …
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