The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Loss Leader Pricing and Rain Check Policy
Abstract
Loss leader pricing and rain check policies are common in retail markets, yet research on these topics is surprisingly scarce. In this paper, we study the effects of leader pricing and rain check policy on stores' profits and market outcomes. Suppose stores can accurately predict demand. Might they still run out of stock? We investigate whether such a result is plausible when stores can offer rain checks. The paper also helps resolve an issue that has recently attracted much attention: Should the FTC repeal its rule prohibiting stock outs of advertised sale items?
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Citations
Cites
The significance of impulse buying today.
Stern, H. (1962) · Journal of Marketing · doi:10.1177/002224296202600212 · Cited by 1,049
Cited by
The economic analysis of advertising
Bagwell, K. W. (2005) · RePEc: Research Papers in Economics · doi:10.7916/d8qz2p6x · Cited by 648
Consumer response to stockouts
Fitzsimons, G. J. (2000) · Journal of Consumer Research · doi:10.1086/314323 · Cited by 514
Return policies and the optimal level of “hassle”
Davis, S., Hagerty, M., & Gerstner, E. (1998) · Journal of Economics and Business · doi:10.1016/s0148-6195(98)00013-7 · Cited by 273
Self-citationSearch, Obfuscation, and Price Elasticities on the Internet
Ellison, G. D., & Ellison, S. F. (2004) · SSRN Electronic Journal · doi:10.2139/ssrn.564742 · Cited by 256
Metadata
- Authors
- Hess, J. D., & Gerstner, E.
- Venue
- Marketing Science
- Published
- 1987-11
- Volume
- 6
- Issue
- 4
- Pages
- 358-374
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W1973549258
- Cited by
- 184
- References
- 1
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hess, J. D., & Gerstner, E. (1987). Loss Leader Pricing and Rain Check Policy. Marketing Science. https://doi.org/10.1287/mksc.6.4.358
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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.