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Buyer Shopping Costs and Retail Pricing: An Indirect Empirical Test

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Author Info
Sang-Yong Lee (National University of Singapore)
Ivan Png (National University of Singapore)

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Abstract

Suppose that consumers incur fixed shopping costs and choose stores according to advertised discounts. Then, the extent to which a store will discount advertised items should increase with the profit from other regularly-priced items. Bookstores customarily advertise discounts on bestsellers. Among conventional bookstores, we found that the bestseller discount systematically increased with the store area, selection of titles, and presence of other product categories. One standard deviation increase in store area was associated with a 3.7 (± 1.8) higher bestseller percentage discount. Among online stores, we found that the bestseller discount systematically increased with the selection of titles and number of product categories. One standard deviation increase in selection was associated with a 9.5 (± 2.2) higher bestseller percentage discount. These results indirectly confirm that booksellers discount bestsellers to attract consumers, and that consumers bear significant fixed shopping costs.

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File URL: http://www.bepress.com/cgi/viewcontent.cgi?article=1017&context=romsjournal
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Publisher Info
Article provided by Berkeley Electronic Press in its journal Review of Marketing Science.

Volume (Year): 2 (2004)
Issue (Month): 1 ()
Pages: 6
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:bep:revmkt:2:2004:1:6

Note: oai:bepress:romsjournal-1017
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Web page: http://www.bepress.com

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Related research
Keywords: shopping costs pricing advertising

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Judith A. Chevalier & Anil K Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March. [Downloadable!]
    Other versions:
  2. Warner, Elizabeth J & Barsky, Robert B, 1995. "The Timing and Magnitude of Retail Store Markdowns: Evidence from Weekends and Holidays," The Quarterly Journal of Economics, MIT Press, vol. 110(2), pages 321-52, May. [Downloadable!] (restricted)
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This page was last updated on 2008-11-13.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.