Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/111377
Authors: 
Ackerberg, Daniel
Chen, Xiaohong
Hahn, Jinyong
Year of Publication: 
2014
Series/Report no.: 
cemmap working paper, Centre for Microdata Methods and Practice CWP28/14
Abstract: 
Many structural economics models are semiparametric ones in which the unknown nuisance functions are identified via nonparametric conditional moment restrictions with possibly nonnested or overlapping conditioning sets, and the finite dimensional parameters of interest are over-identified via unconditional moment restrictions involving the nuisance functions. In this paper we characterize the semiparametric efficiency bound for this class of models. We show that semiparametric two-step optimally weighted GMMestimators achieve the efficiency bound, where the nuisance functions could be estimated via any consistent nonparametric methods in the first step. Regardless of whether the efficiency bound has a closed form expression or not, we provide easy-to-compute sieve based optimal weight matrices that lead to asymptotically efficient two-step GMM estimators.
Subjects: 
Overlapping Information Sets
Semiparametric Efficiency
Two-Step GMM
JEL: 
C14
C31
C32
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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