Variance Estimation in the Swedish Consumer Price Index

Jurgen Dalen and Esbjorn Ohlsson

Journal of Business & Economic Statistics, 1995, vol. 13, issue 3, 347-56

Abstract: In large parts of the Swedish consumer price index, products and outlets are sampled independently, yielding a two-dimensional, cross-classified sample. In this paper, a design-based variance formula is derived by exploiting the general theory for cross-classified sampling. Numerical variance estimates are given, along with a description of some of the detailed procedures involved in their computation. Finally, the implications of these estimates on the actual allocation are discussed.

Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (6)

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:13:y:1995:i:3:p:347-56

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 ().