Cambridge Handbook of Algorithmic Price Personalization and the Law

Fabrizio Esposito is Assistant Professor at the NOVA School of Law and CEDIS, Lisbon. Esposito integrates economics and psychology into EU consumer and regulatory law. He has over forty publications, including works on law, economics and digital markets, focusing on consumer welfare and sovereignty. Mateusz Grochowski is Associate Professor of Law at the Tulane University School of Law and Affiliated Fellow at the Information Society Project (Yale Law School). He works on contract theory, intersections between contract law and digital technologies, and on protection of consumers vis-à-vis new sources of market vulnerability, including algorithms and data.

• Introduction Algorithmic Price Personalization: From Laesio Enormis to Laesio Algorithmica? Mateusz Grochowski and Fabrizio Esposito; Part I. Understanding the Phenomenon: 1. What is the Problem with Price Personalization? Aditi Bagchi; 2. The Economics of Price Personalization: Theory and Evidence Pedro Brinca, Joao Ricardo Costa Filho and Luis F. Martinez; 3. Price Personalization vs. Contract Terms Personalization: Mapping the Complexity Antonio Davola, Fabrizio Esposito and Mateusz Grochowski; 4. Personalized Pricing in the Age of Big Data: A Technical Perspective Qiwei Han; 5. The Rise and Fall (?) of the Impersonal Price Giacomo Tagiuri; Part II. EU Law Perspectives on Price Personalization: 6. Beyond the Price Tag: Personalised Pricing and the Pre-contractual Rights of Consumers and Data Subjects Under EU Law Agnieszka Jablonowska, Francesca Lagioia, Giovanni Sartor; 7. Personalized Prices and Contractual Controls in EU Consumer Law Fernando Gomes Pomar and Mireia Artigot i Golobardes; 8. EU Competition Law and Personalized Pricing Mariateresa Maggiolino and Valeria Caforio; Part III. Beyond the European Union: 9. Personalized Pricing in Brazil Bruno Meyerhof Salama and Leda Batista da Silva; 10. The (il)Legality of Algorithmic Personalized Pricing: A Canadian Perspective Pascale Chapdelaine; 11. Algorithmic Price Personalization in China Jiangqiu Ge; 12. Price Personalization – An Indian Perspective Pratiksha Ashok and Sunitha Abhay Jain; 13. Algorithmic Personalized Pricing in the United States: A Legal Void Haggai Porat.

'The Cambridge Handbook of Algorithmic Price Personalization and the Law is a timely and insightful resource that brings together leading expert perspectives on one of the most pressing regulatory challenges in the current digital marketplace – personalized pricing. This multidisciplinary guide is essential reading for understanding and addressing the complexities of algorithm-driven economic practices.' Florencia Marotta-Wurgler, Boxer Family Professor of Law, New York University School of Law