In the second stage, residuals obtained in the first stage are used to build a consistent estimation of a variance-covariance matrix, thus relaxing the independence and homoscedasticity hypothesis. The second-stage estimator is asymptotically more efficient than the first-stage estimator. The GMM system thus reduces the problem of estimation bias, as there is a one-period lagged dependent variable on the right-hand side of equation (8).