On the Optimality of Clickthrough Fees in Online Markets
成果类型:
Article
署名作者:
Baye, Michael R.; Gao, Xiaxun; Morgan, John
署名单位:
Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University System of Ohio; Miami University; University of California System; University of California Berkeley
刊物名称:
ECONOMIC JOURNAL
ISSN/ISSBN:
0013-0133
DOI:
10.1111/j.1468-0297.2011.02468.x
发表日期:
2011
页码:
F340-F367
关键词:
information gatekeepers
price dispersion
COMPETITION
internet
search
MODEL
sellers
auction
worth
摘要:
We study optimal fee setting decisions by a monopoly online platform connecting advertisers with potential buyers in two environments: a simple model that captures stylised features of advertising on search engines, social networks and advertisement-supported email; and a richer model that is more relevant for directed search at price comparison sites. While the platform can choose to charge for both impressions and clicks, we show that the platform maximises profits by using clickthrough fees exclusively. Our model offers a rationale for the evolving practice of relying purely on clickthrough fees for revenues in many online advertising markets.
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