A new class of GMM estimators based on augmented recentered moments delivers the smallest asymptotic variance among estimators sharing the same pseudo-true value under misspecification.
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Efficient GMM and Weighting Matrix under Misspecification
A new class of GMM estimators based on augmented recentered moments delivers the smallest asymptotic variance among estimators sharing the same pseudo-true value under misspecification.