Abstract
The simultaneous equation model is considered when errors in variables are present in the exogenous variables. By means of a distributional assumption on the exogenous variables, the system is transformed into an augmented structural model. Full information estimation by means of maximum-likelihood and instrumental variables is proposed. Depending on the assumptions on the errors of observation, restrictions may be imposed on the covariance matrix of the augmented structural residuals.
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