Estimating Sampling Errors in Consumer Price Indices

Paul A. Smith

International Statistical Review, 2021, vol. 89, issue 3, 481-504

Abstract: Several different approaches have been proposed for the calculation of sampling errors in consumer price indices (CPIs), but only one is in regular use providing published estimates. The history of the development of sampling error estimation for CPIs is reviewed, and the development in the USA (where most research has taken place) is summarised. The proposed approaches for sampling error estimation are set out, with their properties and their different conceptualisations of the sampling error. The frameworks for the measurement of errors more widely in the CPI are also reviewed, and the evidence for the importance of the sampling error among the other error sources is presented. Some opportunities and directions for further work are provided.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/insr.12438

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:bla:istatr:v:89:y:2021:i:3:p:481-504

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0306-7734

Access Statistics for this article

International Statistical Review is currently edited by Eugene Seneta and Kees Zeelenberg

More articles in International Statistical Review from International Statistical Institute Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().