The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Magnitude of Menu Costs: Direct Evidence from Large U. S. Supermarket Chains
Open accessAbstract
We use store-level data to document the exact process of changing prices and to directly measure menu costs at five multistore supermarket chains. We show that changing prices in these establishments is a complex process, requiring dozens of steps and a nontrivial amount of resources. The menu costs average $105,887/year per store, comprising 0.70 percent of revenues, 35.2 percent of net margins, and $0.52/price change. These menu costs may be forming a barrier to price changes. Specifically, (1) a supermarket chain facing higher menu costs (due to item pricing laws that require a separate price tag on each item) changes prices two and one-half times less frequently than the other four chains; (2) within this chain the prices of products exempt from the law are changed over three times more frequently than the products subject to the law. “In principle, fixed costs of changing prices can be observed and measured. In practice, such costs take disparate forms in different firms, and we have no data on their magnitude. So the theory can be tested at best indirectly, at worst not at all” [Alan Blinder 1991, p. 90].
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
UPC Scanner Pricing Systems: Are They Accurate?
Goodstein, R. C. (1994) · Journal of Marketing · doi:10.1177/002224299405800202 · Cited by 265
Cited by
Frictionless commerce? A comparison of Internet and conventional retailers
Brynjolfsson, E., & Smith, M. D. (2000) · Management Science · doi:10.1287/mnsc.46.4.563.12061 · Cited by 2,498
Patterns of retail price variation
Hosken, D., & Reiffen, D. (2004) · The RAND Journal of Economics · doi:10.2307/1593733 · Cited by 150
On Consumer Beliefs about Quality and Taste
Spiller, S. A., & Belogolova, L. (2016) · Journal of Consumer Research · doi:10.1093/jcr/ucw065 · Cited by 95
Menu Costs, Aggregate Fluctuations, and Large Shocks
Karadi, P., & Reiff, A. (2019) · American Economic Journal: Macroeconomics · doi:10.1257/mac.20160054 · Cited by 95
Pricing Behavior of Multiproduct Retailers
Hosken, D., & Reiffen, D. (2007) · The B.E. Journal of Theoretical Economics · doi:10.2202/1935-1704.1354 · Cited by 36
Metadata
- Authors
- Levy, D., Bergen, M., Dutta, S., & Venable, R.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-08-01
- Volume
- 112
- Issue
- 3
- Pages
- 791-824
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W1538117216
- Cited by
- 546
- References
- 1
- FWCI
- 36.25
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.