Static and Dynamic Pricing in Online Markets

34 Pages Posted: 2 Sep 2004

See all articles by Karen Clay

Karen Clay

Carnegie Mellon University - H. John Heinz III School of Public Policy and Management; National Bureau of Economic Research (NBER)

Michael D. Smith

Carnegie Mellon University - H. John Heinz III School of Public Policy and Management

Eric Wolff

affiliation not provided to SSRN

Date Written: August 2, 2004

Abstract

Commentators have observed that the ease of monitoring competitors on the Internet may allow Internet retailers to engage in non-competitive pricing. Using data on the daily prices of 399 books at 26 online bookstores between August 1999 and January 2000, we investigate firm pricing behavior in the online book market. Although sales in the Internet channel were growing very rapidly at the time, we find that relative prices differed across the three categories of bookstores (big three, active fringe, and inactive fringe), and these differences were remarkably stable over time. We present a simple model in which cross-channel competition and differentially informed consumers lead to the observed (static) pricing patterns. Although relative prices were stable, prices did change and were on average increasing over time. We document the dynamic strategic interaction across firm categories and across individual firms. Ten pairs of firms involving seven individual firms changed prices in the same direction on the same book within three days in an (one standard deviation) above average number of cases and respond more than 25 percent of the time to competitors' price changes. Given the behavior of these firms and the large market shares held by the top three firms, we formally test a number of oligopoly and non-oligopoly explanations for the observed price changes. We find that the observed patterns were not consistent with the predictions of oligopoly pricing in the Haltiwanger and Harrington (1991) model or with other explanations such as customer loyalty, inventory considerations or changes in elasticity of demand associated with holidays. We conjecture that the observed cases of parallel pricing were largely attributable to experimentation on the part of the initiator and learning or competitive response on the part of the responder.

Keywords: Internet, pricing, dynamic pricing, static pricing, books, oligopoly

JEL Classification: L1, L11, L8, L86, M2, M3

Suggested Citation

Clay, Karen B. and Smith, Michael D. and Wolff, Eric D., Static and Dynamic Pricing in Online Markets (August 2, 2004). Available at SSRN: https://ssrn.com/abstract=579905 or http://dx.doi.org/10.2139/ssrn.579905

Karen B. Clay

Carnegie Mellon University - H. John Heinz III School of Public Policy and Management ( email )

Pittsburgh, PA 15213-3890
United States

National Bureau of Economic Research (NBER) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Michael D. Smith

Carnegie Mellon University - H. John Heinz III School of Public Policy and Management ( email )

Pittsburgh, PA 15213-3890
United States

HOME PAGE: http://www.heinz.cmu.edu/~mds

Eric D. Wolff (Contact Author)

affiliation not provided to SSRN

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