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Finite Sample Limited Information Inference Methods for Structural Equations and Models with Generated Regressors Author info | Abstract | Publisher info | Download info | Related research | Statistics Dufour, Jean-Marie
Jasiak, Joann
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We propose exact tests and confidence sets for various structural models typically estimated by IV methods, such as models with unobserved regressors, which remain valid despite the presence of identification problems or weak instruments. Two approaches are considered: (1) an instrument substitution method, which generalizes the Anderson-Rubin procedure, and (2) a sample-split method, that allows the use of "generated regressors." Projection techniques are also proposed for inference on general parameter transformations. The asymptotic theory of the tests under weaker assumptions is discussed. Simulation results are presented. The suggested techniques are applied to a model of Tobin's q and to a model of academic performance.
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Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review .
Volume (Year): 42 (2001)
Issue (Month): 3 (August)
Pages: 815-43
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Handle: RePEc:ier:iecrev:v:42:y:2001:i:3:p:815-43Contact details of provider: Postal: 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297 Phone: (215) 898-8487 Fax: (215) 573-2057 Email: Web page: http://www.econ.upenn.edu/ier More information through EDIRC
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