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The Exact Sampling Distribution of Ordinary Least Squares and Two-Stage Least Squares Estimators

 

作者: Takamitsu Sawa,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1969)
卷期: Volume 64, issue 327  

页码: 923-937

 

ISSN:0162-1459

 

年代: 1969

 

DOI:10.1080/01621459.1969.10501024

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

This paper presents the exact sampling distributions of the ordinary and the two-stage least squares estimators of a structural parameter in a structural equation with two endogenous variables in a complete system of stochastic equations. The results show that the distributions of the two estimators are essentially similar to each other. It can also be seen that both distributions depend crucially upon the deviation of a regression coefficient of disturbance terms of two endogenous variables from a structural parameter, and that the first estimator possesses moments up to the orderN-2, while the second possesses them up to the orderK-1, whereNis the sample size andKis the number of exogenous variables excluded from the equation to be estimated. The small sample properties of the estimators are investigated by numerical evaluations of the density functions.

 

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