RIGID PRICES: EVIDENCE FROM U.S. SCANNER DATA

Jeffrey Campbell and Benjamin Eden ()

International Economic Review, 2014, vol. 55, issue 2, 423-442

Abstract: This article uses weekly scanner data from two small U.S. cities to characterize time and state dependence of grocers' pricing decisions. In these data, the probability of a nominal adjustment declines with the time since the last price change. A store's price for a particular product typically goes through several price changes in rapid succession before settling down. We also detect state dependence: The probability of a nominal adjustment is highest when a store's price substantially differs from the average of other stores' prices. However, extreme relative prices typically reflect the store's recent changes instead of changes in average prices.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

Downloads: (external link)
https://doi.org/10.1111/iere.12055

Related works:
Working Paper: Rigid prices: evidence from U.S. scanner data (2005)
Working Paper: Rigid Prices: Evidence from US scanner data (2004)
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:wly:iecrev:v:55:y:2014:i:2:p:423-442

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598

Access Statistics for this article

International Economic Review is currently edited by Michael O'Riordan and Dirk Krueger

More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().