Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A comparison of six sampling schemes for price index construction in a COICOP food group

Heravi, Saeed ORCID: and Morgan, Peter Huw ORCID: 2014. A comparison of six sampling schemes for price index construction in a COICOP food group. Applied Economics 46 (22) , pp. 2685-2699. 10.1080/00036846.2014.909574

[thumbnail of MeatSamplingPaperAPPECONORCA (1).pdf]
PDF - Accepted Post-Print Version
Download (693kB) | Preview


This article compares the behaviour of sampling techniques for price indices using a scanner data set as a model population. Indices produced by two purposive deterministic cut-off designs and four probabilistic sampling schemes are compared with each other and with the ‘true’ population index from the whole data set. We found that the two deterministic cut-off sampling schemes show much different behaviour from the probabilistic sampling schemes. This is not unexpected, as the former schemes have a very restricted focus with respect to the variety of products. We also found that the probabilistic schemes are generally closer to each other and the ‘true’ value than the deterministic cut-off designs. The jackknife resampling technique is also explored as a means of estimating the SE of the index and compared with the actual results from repeated sampling.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > HF Commerce
Uncontrolled Keywords: price indices, product classification, sampling, jackknife, C10, C43, E31, C15
Additional Information: Pdf uploaded in accordance with publisher's policy at (accessed 9.1.15).
Publisher: Routledge
ISSN: 0003-6846
Date of First Compliant Deposit: 30 March 2016
Last Modified: 06 Nov 2023 23:21

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics