Small-Area Estimation of Economic Statistics
Cary T Isaki
Journal of Business & Economic Statistics, 1990, vol. 8, issue 4, 435-41
Abstract:
A ratio-correlation (multiple regression) approach for estimating key economic statistics for small areas is proposed and compared with several synthetic estimation methods using various measures of performance. Using published data that are easily accessible, the methods provide a means of estimating statics not currently published with a reasonable amount of error.
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (5)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:8:y:1990:i:4:p:435-41
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().