Errors-in-variables identification using a Generalized Instrumental Variable Estimation method

Several estimation methods have been proposed for identifying dynamic errors-in-variables models. In the paper it is shown how a number of common methods for errors-in-variables methods can be put into a general framework, resulting in a Generalized Instrumental Variable Estimator. Computational aspects and the asymptotic distribution of the parameter estimates are presented.