Incentive‐compatible advertising on nonretail platforms

IF 2.8 3区 经济学 Q1 ECONOMICS
K. Eliaz, R. Spiegler
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引用次数: 6

Abstract

Nonretail platforms enable users to engage in noncommercial activities, while generating user information that helps ad targeting. We present a model in which the platform chooses a personalized ad‐display rule and an advertising fee (which depends on the targeted user group). The policy that maximizes the platform's advertising revenues creates an incentive for advertisers to strategize targeting. We provide a condition for incentive‐compatibility of the first‐best policy, and highlight the forces that make it harder to satisfy. We apply our result to examples of platforms. Our analysis of social networks turns out to be related to the “community‐detection” problem.
非零售平台上的激励兼容广告
非零售平台使用户能够参与非商业活动,同时生成有助于广告定位的用户信息。我们提出了一个模型,在该模型中,平台选择个性化的广告展示规则和广告费(取决于目标用户群体)。最大化平台广告收入的政策为广告商制定目标制定策略创造了激励。我们为第一个最佳政策的激励相容性提供了条件,并强调了使其更难满足的力量。我们将我们的结果应用于平台的示例。事实证明,我们对社交网络的分析与“社区检测”问题有关。
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来源期刊
CiteScore
4.60
自引率
4.30%
发文量
28
期刊介绍: The RAND Journal of Economics publishes theoretical and empirical research on industrial organization and closely related topics, including contracts, organizations, law and economics, and regulation. The RAND Journal of Economics, formerly the Bell Journal of Economics, is published quarterly by The RAND Corporation, in conjunction with Blackwell Publishing.
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