Estimating sampling errors in consumer price indices
Estimating sampling errors in consumer price indices
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.
Consumer price index, bootstrap, jackknife, mean squared error, model-based variance estimates, replicate variance estimation, variance components
481-504
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
29 December 2021
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Smith, Paul A.
(2021)
Estimating sampling errors in consumer price indices.
International Statistical Review, 89 (3), .
(doi:10.1111/insr.12438).
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.
This record has no associated files available for download.
More information
Accepted/In Press date: 11 January 2021
e-pub ahead of print date: 29 March 2021
Published date: 29 December 2021
Keywords:
Consumer price index, bootstrap, jackknife, mean squared error, model-based variance estimates, replicate variance estimation, variance components
Identifiers
Local EPrints ID: 448361
URI: http://eprints.soton.ac.uk/id/eprint/448361
ISSN: 0306-7734
PURE UUID: 5181ccd0-c69a-4b41-883b-32a22ad267ee
Catalogue record
Date deposited: 21 Apr 2021 16:30
Last modified: 17 Mar 2024 03:36
Export record
Altmetrics
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
