Application of “LIML_LVR” method practically according to the general formula K-CLASS on suggestion simultaneous equation

	Application of “LIML_LVR” method practically according to the general formula K-CLASS on suggestion simultaneous equation
journal of Economics And Administrative Sciences/ University of baghdad
Article 1, Volume 18, Issue 69, 2012, Pages 303-317
Abstract
In this paper we try to shed light on one of the methods of estimating the structural parameters of the linear simultaneous equations models Which provide consistent estimates sometimes differ from those that we get from other traditional methods according to the estimators of the general formula K-CLASS .This method is known as the limited information maximum likelihood "LIML" or least variance ratio "LVR" method, which represent by formula (14.2) The other side of the LIML method, which is famous for estimating parameters in linear simultaneous equation (individually) attributed to the system of linear equations so that the identification test for this type of equation be over identified and the advantage of this method in the general formula for the estimators of K-CLASS That the value of k be a variable otherwise known other estimators of K-CLASS in which the value of k is a constant Where the method has been applied to simple real-time system of linear equations constructed by the researcher describe the relationship between economic growth, exports and some variables related to them and draw conclusions using ready-made programs (Excel, Minitab) and finally to comment on the results and viewing the main conclusions and then write some of the recommendations
Keywords
Lancer equation system; least variance ratio

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