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Sampling Problems in the Estimation of the Money Supply

 

作者: J. Sedransk,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1977)
卷期: Volume 72, issue 359  

页码: 516-522

 

ISSN:0162-1459

 

年代: 1977

 

DOI:10.1080/01621459.1977.10480605

 

出版商: Taylor & Francis Group

 

关键词: Finite population sampling;Bayesian estimation;Money supply estimation

 

数据来源: Taylor

 

摘要:

In this article, the selection and testing of a sample of member banks of the Federal Reserve System are described. The objectives are timely and accurate estimation of monetary aggregates for the population of member banks. This sampling problem is unusual for two reasons: the need to produce regular weekly estimates on an accelerated time schedule, and the extensive historical data available. These past data afford an opportunity to improve the precision of estimation and to test the efficacy of alternative estimators.

 

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