An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
似乎不相关回归的有效估计与聚合偏差检验
In this paper a method of estimating the parameters of a set of regression equations is reported which involves application of Aitken's generalized least-squares [1] to the whole system of equations. Under conditions generally encountered in practice, it is found that the regression coefficient estimators so obtained are at least asymptotically more efficient than those obtained by an equation-by-equation application of least squares. This gain in efficiency can be quite…