FIML is shown to be an instrumental variables estimator where the instruments embody all the over-identifying a priori restrictions. FIML is compared to the two alternative estimators 3SLS and full information instrumental variables 3SLS differs from FIML in not using all a priori restrictions in forming the instruments. The full information instrumental variables estimator when iterated to convergence yields the FIML estimate. For the case of nonlinearity in the parameters a nonlinear 3SLS and a nonlinear full information instrumental variables estimator are proposed. Both estimators are asymptotically efficient.
MLA
Hausman, Jerry A.. “An Instrumental Variable Approach to Full Information Estimators for Linear and Certain Nonlinear Econometric Models.” Econometrica, vol. 43, .no 4, Econometric Society, 1975, pp. 727-738, https://www.jstor.org/stable/1913081
Chicago
Hausman, Jerry A.. “An Instrumental Variable Approach to Full Information Estimators for Linear and Certain Nonlinear Econometric Models.” Econometrica, 43, .no 4, (Econometric Society: 1975), 727-738. https://www.jstor.org/stable/1913081
APA
Hausman, J. A. (1975). An Instrumental Variable Approach to Full Information Estimators for Linear and Certain Nonlinear Econometric Models. Econometrica, 43(4), 727-738. https://www.jstor.org/stable/1913081
We are deeply saddened by the passing of Kate Ho, the John L. Weinberg Professor of Economics and Business Policy at Princeton University and a Fellow of the Econometric Society. Kate was a brilliant IO economist and scholar whose impact on the profession will resonate for many years to come.
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