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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