EconPapers    
Economics at your fingertips  
 

Market Design for Personal Data

Jacques Crémer (), Dirk Bergemann, David Dinielli, Carl-Christian Groh, Paul Heidhues, Maximilian Schäfer (), Monika Schnitzer, Fiona Scott Morton, Katja Seim and Michael Sullivan
Additional contact information
Jacques Crémer: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
David Dinielli: Yale University [New Haven]
Carl-Christian Groh: Universität Bonn = University of Bonn
Paul Heidhues: Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf]
Maximilian Schäfer: Yale University [New Haven], Business School - Kingston University [London]
Monika Schnitzer: LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München
Fiona Scott Morton: Yale University [New Haven]
Katja Seim: Yale University [New Haven]
Michael Sullivan: Harvard University

Post-Print from HAL

Abstract: It is now generally understood that personal data––that is, data that relate to individual consumers––drive digital markets. Personal data underlie targeted advertising, which draws billions of dollars into ad-supported markets. Personal data are useful for other purposes as well. Firms in digital markets rely on personal data to deliver their core products and services––we refer to these collectively as "web services"1––to hone and improve them, and to recommend related products and services. These data facilitate innovation, allowing yet more services and "smart" products with increasingly personalized functionalities. Personal data can allow governments to deliver better public services, such as transportation systems, or can help researchers better understand how humans interact with algorithms and which policies might best serve society. And data can also facilitate competition, by improving quality and providing insight into consumer conduct that encourages entry. In these various ways, the massive quantity of personal data currently collected undoubtedly contributes to consumer welfare. But there also are downsides to the collection and use of personal data on such a grand scale. "Surveillance capitalism," as Professor Shoshana Zuboff has termed it, has blurred the line between the personal and the public, and has commodified our habits, interests, and beliefs in ways that can feel distasteful and invasive. Massive data collection also has made information about us more accessible to government and commercial actors who often face little to no accountability for its misuse.

Date: 2023-10
References: Add references at CitEc
Citations:

Published in Yale Journal on Regulation, 2023, 40 (3), pp.1056-1120

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Market design for personal data (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04810695

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-23
Handle: RePEc:hal:journl:hal-04810695