Proceedings of the 22nd ACM Conference on Economics and Computation 2021
DOI: 10.1145/3465456.3467582
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Data Tracking under Competition

Abstract: ate School of Business We explore the welfare implications of data tracking technologies that enable firms to collect consumer data and potentially use it for price discrimination. The model we develop centers around two features: first, competition between firms and, second, consumers' level of sophistication. Our baseline environment features a firm that can collect information about the consumers it transacts with in a duopoly market, which it can then use in a second monopoly market. We characterize and co… Show more

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