Privacy, Information Acquisition, and Market Competition

35 Pages Posted: 28 Mar 2017 Last revised: 17 Jun 2021

See all articles by Soo Jin Kim

Soo Jin Kim

Government of Canada - Bank of Canada

Date Written: June 16, 2021

Abstract

This paper analyzes how data-driven vertical integration between a platform and one downstream seller affects market outcomes in a two-sided market where sellers with asymmetric targeting skills target advertisements to individuals who have varying privacy concerns. I show that data-driven vertical integration leads to the incumbent's exclusive use of data. Therefore, a market entrant that has worse targeting technology than an incumbent is disproportionately harmed by such integration. The welfare analysis shows that integration can be welfare-reducing if consumers' privacy concerns are relatively high. Therefore, individually optimal decisions on data disclosure might not be socially optimal when aggregated.

Keywords: Privacy; Data Intermediary; On-line Advertising; Targeted Advertising; Vertical Integration

JEL Classification: D21; D22; D83; L15; L22; L42; L52

Suggested Citation

Kim, Soo Jin, Privacy, Information Acquisition, and Market Competition (June 16, 2021). Available at SSRN: https://ssrn.com/abstract=2940985 or http://dx.doi.org/10.2139/ssrn.2940985

Soo Jin Kim (Contact Author)

Government of Canada - Bank of Canada ( email )

234 Wellington Street
Ontario, Ottawa K1A 0G9
Canada

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