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Estimation of Simultaneous Equation Models with Measurement Error
Vincent J. Geraci
Abstract
This paper examines the estimation of a normal contemporaneous simultaneous equation model in which some of the exogenous variables are measured with error.The theory for asymptotically efficient least squares estimation is developed. The primary result is a structural least squares estimator which offers certain computational advantages relative to the full information maximum likelihood estimator.
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