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.