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劳动力状态间总转移流量的估计AI 解读

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…

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计量经济模型的统计分析AI 解读

In this article, a summary of some research bearing on the statistical analysis of econometric models is reviewed. Many estimation, testing, and prediction techniques used in econometrics have just large-sample justifications. Selected Bayesian inference results relating to econometric models are reviewed. On the problem of constructing econometric models, an approach that is a blend of traditional econometric and modern time series analysis techniques is described. Many…

参数函数与计量模型结构系数的最小期望损失估计AI 解读

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…

参数函数与计量模型结构系数的最小期望损失估计AI 解读

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…

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多元 Student-t 误差回归模型的贝叶斯与非贝叶斯分析AI 解读

The linear multiple regression model is analyzed assuming the error vector has a multivariate Student-t distribution with zero location vector and scalar dispersion matrix; the multivariate Cauchy and normal distributions are special cases. It is found that the usual least squares coefficient estimate is the maximum likelihood estimate and the mean of the posterior distribution under a diffuse prior distribution. Inferences based on usual t- and F-statistics are shown valid…

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回归误差项的贝叶斯分析AI 解读

Properties of realized regression error terms are studied wherein they are treated as unknown parameters. Posterior distributions for individual realized error terms and for linear and certain quadratic functions of them are derived. Posterior moments of measures of skewness, kurtosis, autocovariance, and autocorrelation, defined in terms of the realized errors, are presented, and selected uses of these results indicated in characterizing properties of realized error terms…

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联立方程模型分析中常被忽略的约束AI 解读

USUAL SPECIFYING ASSUMPTIONS for simultaneous equation econometric models imply strong inequality constraints on structural parameters which are formally similar to those encountered in connection with the classical errors-in-the-variables model.2 To illustrate, consider the following simple simultaneous equation model for two endogenous variables, Y,, and Y2t, say price and quantity, respectively:

对数正态分布与对数正态回归的贝叶斯及非贝叶斯分析AI 解读

In this article, Bayesian and non-Bayesian methods for estimating parameters of the log-normal distribution and of log-normal regression processes are considered. Posterior distributions for parameters of interest are derived and their properties are described. With respect to point estimation, a rather broad class of estimators is defined and, relative to this class, new minimal mean square error (MSE) estimators for the median and mean of the log-normal distribution and…