When is it really justifiable to ignore explanatory variable endogeneity in a regression model?
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Examines corrections to least-squares to render it consistent under simultaneity.

Derives the limiting distribution of estimators corrected for inconsistency.

Exploits this to indicate the sensitivity of t-tests when one regressor is endogenous.

Explains the flaws in an alternative approach published in Ashley and Parmeter (2015).

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