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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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discrete choice models in the absence of state dependence. This assumption extends Luce's axiom; Independence from Irrelevant …
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In the general linear errors-in-variables model the main results have been derived under the assuption that the measurement errors are uncorrelated. However, as recognized by Bekker, Kapteyn and Wansbeek (BKW) (1997) and Lach (1993) this is often a problematic assumption to maintain in empirical...
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