Welfare Implications of Proprietary Data Collection: An Application to Telematics in Auto Insurance
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Cited by:
- Martin Eling & Irina Gemmo & Danjela Guxha & Hato Schmeiser, 2024. "Big data, risk classification, and privacy in insurance markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 75-126, March.
- O’Connor, Jason & Wilson, Nathan E., 2021. "Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition," Information Economics and Policy, Elsevier, vol. 54(C).
- Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
- Calvano, Emilio & Polo, Michele, 2021.
"Market power, competition and innovation in digital markets: A survey,"
Information Economics and Policy, Elsevier, vol. 54(C).
- Calvano, Emilio & Polo, Michele, 2020. "Market Power, Competition and Innovation in digital markets: a survey," CEPR Discussion Papers 14314, C.E.P.R. Discussion Papers.
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More about this item
Keywords
Proprietary data; data portability; oligopoly; economic competition; asymmetric information;All these keywords.
JEL classification:
- D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
- L40 - Industrial Organization - - Antitrust Issues and Policies - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-COM-2018-06-18 (Industrial Competition)
- NEP-IAS-2018-06-18 (Insurance Economics)
- NEP-TRE-2018-06-18 (Transport Economics)
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