The article discusses a new method for estimating coefficients in simultaneous equations models that outperforms traditional least squares methods. By addressing the issue of correlated errors and exogenous variables, the new approach provides more accurate and reliable estimates. The study proves that using two-step least squares methods and factorization of equations leads to more efficient estimates.