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Estimating Gross Labor-Force Flows
劳动力状态间总转移流量的估计
We present and apply an adjustment procedure for the Bureau of the Census and Bureau of Labor Statistics gross labor-force flows data that addresses two major defects in the data. First, an adjustment procedure is developed to take account of individuals with missing labor-force classifications who are not missing at random. Second, we provide a procedure for adjustment for individuals with spurious labor-force transitions arising because of classification errors in either…
Minimum Expected Loss (MELO) Estimators for Functions of Parameters and Structural Coefficients of Econometric Models
参数函数与计量模型结构系数的最小期望损失估计
Abstract Further sampling properties of previously derived (Zellner 1975) MELO estimates for reciprocals and ratios of parameters and for structural coefficients of econometric models are presented. Approximate small-sample moments and risk functions of MELO estimators for these problems are derived and compared with those of other well-known estimators. The exact finite sample distribution of the MELO reciprocal mean estimator is derived and compared with that of the…
Minimum Expected Loss (MELO) Estimators for Functions of Parameters and Structural Coefficients of Econometric Models
参数函数与计量模型结构系数的最小期望损失估计
Further sampling properties of previously derived (Zellner 1975) MELO estimates for reciprocals and ratios of parameters and for structural coefficients of econometric models are presented. Approximate small-sample moments and risk functions of MELO estimators for these problems are derived and compared with those of other well-known estimators. The exact finite sample distribution of the MELO reciprocal mean estimator is derived and compared with that of the maximum…
Bayesian and Non-Bayesian Analysis of the Regression Model with Multivariate Student-t Error Terms
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…