The Two-Stage Least Squares (2SLS) procedure was independently proposed by Theil
(1954, 1958) and Basmann (1957). At about the same time the instrumental variable (IV)
method, which had been developed over a decade earlier by Reiersol (1941, 1945), and
Geary (1949) for the estimation of errors-in-variables models, was generalized and applied
by Sargan (1958) to the estimation of simultaneous equation models. Sargan’s generalized
IV estimator (GIVE) provided an asymptotically efficient technique for using surplus
instruments in the application of the IV method to econometric problems, and formed
the basis of subsequent developments of the generalized method of moments (GMM)
estimators introduced subsequently by Hansen (1982). A related class of estimators,
known as k-class estimators, was also proposed by Theil (1958). Methods of estimating
the entire systemof equationswhichwere computationally less demanding than the FIML
method were also advanced. These methods also had the advantage that unlike the FIML
did not require the full specification of the entire system. These included the Three-Stage
Least Squares method due to Zellner and Theil (1962), the iterated instrumental variables
method based on the work of Lyttkens (1970), Brundy and Jorgenson (1971), Dhrymes
(1971); and the system k-class estimators due to Srivastava (1971) and Savin (1973).
Important contributions have also been made in the areas of estimation of simultaneous
non-linear (Amemiya 1983), the seemingly unrelated regression model proposed by Zellner
(1962), and the simultaneous rational expectations models (see Section 7.1 below).
The Two-Stage Least Squares (2SLS) procedure was independently proposed by Theil(1954, 1958) and Basmann (1957). At about the same time the instrumental variable (IV)method, which had been developed over a decade earlier by Reiersol (1941, 1945), andGeary (1949) for the estimation of errors-in-variables models, was generalized and appliedby Sargan (1958) to the estimation of simultaneous equation models. Sargan’s generalizedIV estimator (GIVE) provided an asymptotically efficient technique for using surplusinstruments in the application of the IV method to econometric problems, and formedthe basis of subsequent developments of the generalized method of moments (GMM)estimators introduced subsequently by Hansen (1982). A related class of estimators,known as k-class estimators, was also proposed by Theil (1958). Methods of estimatingthe entire systemof equationswhichwere computationally less demanding than the FIMLmethod were also advanced. These methods also had the advantage that unlike the FIMLdid not require the full specification of the entire system. These included the Three-StageLeast Squares method due to Zellner and Theil (1962), the iterated instrumental variablesmethod based on the work of Lyttkens (1970), Brundy and Jorgenson (1971), Dhrymes(1971); and the system k-class estimators due to Srivastava (1971) and Savin (1973).Important contributions have also been made in the areas of estimation of simultaneousnon-linear (Amemiya 1983), the seemingly unrelated regression model proposed by Zellner
(1962), and the simultaneous rational expectations models (see Section 7.1 below).
การแปล กรุณารอสักครู่..

The Two-Stage Least Squares (2SLS) procedure was independently proposed by Theil
(1954, 1958) and Basmann (1957). At about the same time the instrumental variable (IV)
method, which had been developed over a decade earlier by Reiersol (1941, 1945), and
Geary (1949) for the estimation of errors-in-variables models, was generalized and applied
by Sargan (1958) to the estimation of simultaneous equation models. Sargan’s generalized
IV estimator (GIVE) provided an asymptotically efficient technique for using surplus
instruments in the application of the IV method to econometric problems, and formed
the basis of subsequent developments of the generalized method of moments (GMM)
estimators introduced subsequently by Hansen (1982). A related class of estimators,
known as k-class estimators, was also proposed by Theil (1958). Methods of estimating
the entire systemof equationswhichwere computationally less demanding than the FIML
method were also advanced. These methods also had the advantage that unlike the FIML
did not require the full specification of the entire system. These included the Three-Stage
Least Squares method due to Zellner and Theil (1962), the iterated instrumental variables
method based on the work of Lyttkens (1970), Brundy and Jorgenson (1971), Dhrymes
(1971); and the system k-class estimators due to Srivastava (1971) and Savin (1973).
Important contributions have also been made in the areas of estimation of simultaneous
non-linear (Amemiya 1983), the seemingly unrelated regression model proposed by Zellner
(1962), and the simultaneous rational expectations models (see Section 7.1 below).
การแปล กรุณารอสักครู่..
