Monetizing Privacy
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- Maryam Farboodi & Roxana Mihet & Thomas Philippon & Laura Veldkamp, 2019.
"Big Data and Firm Dynamics,"
AEA Papers and Proceedings, American Economic Association, vol. 109, pages 38-42, May.
- Veldkamp, Laura & Farboodi, Maryam & Mihet, Roxana, 2019. "Big Data and Firm Dynamics," CEPR Discussion Papers 13489, C.E.P.R. Discussion Papers.
- Maryam Farboodi & Roxana Mihet & Thomas Philippon & Laura Veldkamp, 2019. "Big Data and Firm Dynamics," NBER Working Papers 25515, National Bureau of Economic Research, Inc.
- Maria C. Wasastjerna, 2018. "The role of big data and digital privacy in merger review," European Competition Journal, Taylor & Francis Journals, vol. 14(2-3), pages 417-444, September.
- Zhuang Liu & Michael Sockin & Wei Xiong, 2020. "Data Privacy and Temptation," NBER Working Papers 27653, National Bureau of Economic Research, Inc.
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More about this item
Keywords
customer data; privacy; market structure; digital cash; payments;All these keywords.
JEL classification:
- E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
- L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
- L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
NEP fields
This paper has been announced in the following NEP Reports:- NEP-COM-2021-01-25 (Industrial Competition)
- NEP-MAC-2021-01-25 (Macroeconomics)
- NEP-PAY-2021-01-25 (Payment Systems and Financial Technology)
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