Returns to Data: Evidence from Web Tracking
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Abstract
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Other versions of this item:
- Ullrich, Hannes & Hannane, Jonas & Peukert, Christian & Aguiar, Luis & Duso, Tomaso, 2024. "Returns to Data: Evidence from Web Tracking," CEPR Discussion Papers 19266, C.E.P.R. Discussion Papers.
- Hannes Ullrich & Jonas Hannane & Christian Peukert & Luis Aguiar & Tomaso Duso, 2024. "Returns to Data: Evidence from Web Tracking," CESifo Working Paper Series 11240, CESifo.
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Keywords
Prediction quality; Web Tracking; Cookies; Data protection; Competition Policy; Internet Regulation; GDPR;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
- K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
- L4 - Industrial Organization - - Antitrust Issues and Policies
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2024-08-19 (Big Data)
- NEP-COM-2024-08-19 (Industrial Competition)
- NEP-LAW-2024-08-19 (Law and Economics)
- NEP-REG-2024-08-19 (Regulation)
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