The Impact of Privacy Measures on Online Advertising Markets

Miguel Alcobendas, Shunto Kobayashi, M. Shum
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引用次数: 0

Abstract

Privacy regulations in online markets have ramped up in recent years, as typified by government regulation, such as the California Consumer Privacy Act (CCPA) of 2020, which allowed internet users in California to “opt-out” of behavioral tracking; as well as firm-level initiatives such as the banning of third-party cookies by major internet browsers, including Apple’s Safari and (in 2022) Google’s Chrome. Using fine-grained data from Yahoo, we estimate a structural model of bidding among Demand-Side Plat- forms (DSPs) for different types of users. Using the estimates, we simulate the counterfactual effects of expanding privacy regulations, in particular banning third-party cookies by browsers. While, as expected, such a ban would reduce publisher revenue substantially, by around 30%, it also shifts business to larger DSPs. In addition, we also consider the scenario where, in the aforementioned ban, there exists an advantaged DSP which possesses proprietary first-party information on users.
隐私措施对网络广告市场的影响
近年来,以政府监管为代表的在线市场隐私监管力度加大,例如2020年的《加州消费者隐私法案》(CCPA),该法案允许加州的互联网用户“选择退出”行为跟踪;以及公司层面的举措,比如禁止主要互联网浏览器使用第三方cookie,包括苹果的Safari和(2022年)谷歌的Chrome。利用雅虎的细粒度数据,我们估计了需求方平台(dsp)针对不同类型用户的竞价结构模型。利用这些估计,我们模拟了扩大隐私法规的反事实效应,特别是禁止浏览器使用第三方cookie。正如预期的那样,这样的禁令将大大减少出版商的收入,减少约30%,同时也将业务转移到更大的dsp。此外,我们还考虑在上述禁令中,存在一个拥有用户专有第一方信息的优势DSP的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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