Search Costs, Demand Structure and Long Tail in Electronic Markets: Theory and Evidence

36 Pages Posted: 2 Nov 2006

See all articles by Anindya Ghose

Anindya Ghose

New York University (NYU) - Leonard N. Stern School of Business

Bin Gu

Boston University - Questrom School of Business

Date Written: October 2006

Abstract

It is well known that the Internet has significantly reduced consumers' search costs online. But relatively little is known about how search costs affect consumer demand structure in online markets. In this paper, we identify the impact of search costs on firm competition and market structure by exploring a unique theoretical insight that search costs create a kink in aggregate demand when firms change prices. The significance of the kink reflects the magnitude of online search costs and the kinked demand function provides information on how search costs affect competition in the online market. Using a dataset collected from Amazon and Barnes & Noble, we find that search costs vary significantly across online retailers. Consumers face low search costs for price information from Amazon.com. It leads to a higher price elasticity when the firm reduces prices than when it increases prices, increasing Amazon's incentive to engage in price competition. On the other hand, consumers face relatively higher search costs for price information from Barnes & Noble. This leads to a lower price elasticity when Barnes & Noble reduces prices than when it increases prices, reducing Barnes & Noble's incentive to engage in price competition. We also find that search costs decrease with the passage of time as the information about price changes dissipates among consumers, leading to increased price elasticity over time. Finally, we highlight that search costs are lower for popular books compared to rare and unpopular books. These findings have implications for the impact of the Internet on the Long Tail phenomenon.

Keywords: Electronic Markets, Search Costs, Kinked Demand Curve, Price Elasticity, Price Competition, Long Tail

Suggested Citation

Ghose, Anindya and Gu, Bin, Search Costs, Demand Structure and Long Tail in Electronic Markets: Theory and Evidence (October 2006). NET Institute Working Paper No. 06-19, Available at SSRN: https://ssrn.com/abstract=941200 or http://dx.doi.org/10.2139/ssrn.941200

Anindya Ghose (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

Bin Gu

Boston University - Questrom School of Business ( email )

595 Commonwealth Avenue
Boston, MA MA 02215
United States

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