New method improves accuracy of instrumental variable inference in econometrics.
A new method called symmetric jackknife estimation was developed to improve instrumental variable inference in the presence of unknown differences in data variability. This method is effective in handling both weak and strong instruments for different factors being studied. The results show that the symmetric jackknife estimator outperforms other existing methods in computer simulations.
