Efficent smooth GMM through dimension reduction

We propose a new GMM criterion for models defined by conditional moment restrictions that takes into account a number of moment conditions which increases with the sample size. Our criterion allows us to reduce the dimensionality of the conditioning variables, so that the resulting estimator is not affected by this dimension. The two-step estimator attains the semiparametric efficiency bound.