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正态与非正态扰动下联立方程估计量的小样本蒙特卡洛比较AI 解读

In this paper we consider four alternative forms of two-parameter normal and nonnormal error distributions and report on a Monte Carlo study of the small-sample properties of least squares, two-stage least squares, three-stage least squares and full information maximum likelihood estimators. On the basis of 1,000 replications of sample size 20 in two experiments on an overidentified model, we found that the small-sample rankings of econometric estimators of both structural…

随机系数线性回归的有限样本与收敛性质AI 解读

This article studies sampling properties of several unconstrained estimators in the random coefficients model. It is found that the ranking of alternative estimators is sometimes sensitive to selection of true values of the model's parameters. Further, the frequency of negative estimates increases with the size of true variance. Though all estimators converge in 80 to 95 percent of cases, there is generally no efficiency gain at any stage of iterations, possibly because…

随机系数线性回归：有限样本性质与收敛表现AI 解读

This article studies sampling properties of several unconstrained estimators in the random coefficients model. It is found that the ranking of alternative estimators is sometimes sensitive to selection of true values of the model's parameters. Further, the frequency of negative estimates increases with the size of true variance. Though all estimators converge in 80 to 95 percent of cases, there is generally no efficiency gain at any stage of iterations, possibly because…