Using Scanner Data to Estimate Country Price Parities: A Hedonic Regression Approach

Heravi, Saeed ORCID: https://orcid.org/0000-0002-0198-764X, Heston, Alan and Silver, Mick CARDIFF 2003. Using Scanner Data to Estimate Country Price Parities: A Hedonic Regression Approach. Review of Income and Wealth 49 (1) , pp. 1-21. 10.1111/1475-4991.00071

Full text not available from this repository.

Abstract

This paper uses scanner data from the bar-code readers of retailers to provide estimates of inter-country price parities at the level of the basic heading. The use of such data is appealing given its extensive coverage of transactions, information on weights, prices and characteristics of items at a highly detailed level. The study uses dummy variable hedonic and exact/superlative hedonic index number formulations applied to an inter-country context for both bilateral and multilateral comparisons. Unlike conventional methods, such methods are not confined to matched samples comparisons and thus make use of the entire sample. Their application extends to price survey data using checklists on characteristics. The application is to scanner data on about 1 million transactions for television sets over two months in three countries. It is, to the authors’ knowledge, the first such use of scanner data and application of the above hedonic frameworks in this context.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HB Economic Theory
Publisher:	Wiley-Blackwell
ISSN:	0034-6586
Last Modified:	24 Oct 2022 09:58
URI:	https://orca.cardiff.ac.uk/id/eprint/42732

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item