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On Finite Sample Distributions of Generalized Classical Linear Identifiability Test Statistics

 

作者: R.L. Basmann,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1960)
卷期: Volume 55, issue 292  

页码: 650-659

 

ISSN:0162-1459

 

年代: 1960

 

DOI:10.1080/01621459.1960.10483365

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

In the estimation of econometric simultaneous equations models, hypothesized necessary conditions for the identifiability of a single equation usually specify the exclusion of a number of variables from the structural equation in question. If the pre-determined variables are completely exogenous, if the disturbances in the equations are jointly normally distributed, and if a moderately high degree of precision can be obtained in reduced-form estimation, then the exact finite sample distribution of the generalized classical linearidentifiability test statisticcan be closely approximated by Snedecor'sFwith appropriate degrees of freedom.

 

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