Online and Matching-Based Market Design -

Online and Matching-Based Market Design

Buch | Hardcover
742 Seiten
2023
Cambridge University Press (Verlag)
978-1-108-83199-4 (ISBN)
68,55 inkl. MwSt
Written by more than fifty top researchers from economics, OR, and algorithm design, this text comprehensively covers a major inter-disciplinary field and its important applications from the basics to state of the art. Key chapters discuss efficiency, fairness and incentives, and market design and its relation to social choice theory.
The rich, multi-faceted and multi-disciplinary field of matching-based market design is an active and important one due to its highly successful applications with economic and sociological impact. Its home is economics, but with intimate connections to algorithm design and operations research. With chapters contributed by over fifty top researchers from all three disciplines, this volume is unique in its breadth and depth, while still being a cohesive and unified picture of the field, suitable for the uninitiated as well as the expert. It explains the dominant ideas from computer science and economics underlying the most important results on market design and introduces the main algorithmic questions and combinatorial structures. Methodologies and applications from both the pre-Internet and post-Internet eras are covered in detail. Key chapters discuss the basic notions of efficiency, fairness and incentives, and the way market design seeks solutions guided by normative criteria borrowed from social choice theory.

Federico Echenique is a Professor of Economics at the University of California at Berkeley. He has published articles in the American Economic Review, Econometrica, Journal of Political Economy, Quarterly Journal of Economics, Journal of Economic Theory, and Theoretical Economics. He is a fellow of the Econometric Society, and co-editor of Theoretical Economics. Echenique was Program Co-chair of EC 2021. Nicole Immorlica is a Principal Researcher at the Microsoft Research New England Laboratory. She has published more than 80 scholarly articles, surveys, and book chapters on topics including algorithmic game theory, market design, social networks, theoretical computer science, and economics. Her honors include the Harvard Excellence in Teaching Award, a Sloan Fellowship, and an NSF Career Award. Immorlica is Chair of SIGecom, former Vice Chair of SIGACT, Associate Editor of ACM Transactions on Economics and Computing, and was Program Co-chair for EC 2019. Vijay V. Vazirani is Distinguished Professor in the Computer Science Department at the University of California, Irvine. He is one of the founders of algorithmic game theory, focusing on the computability of market equilibria. He is an ACM Fellow, a Guggenheim Fellow, and the recipient of the 2022 INFORMS John von Neumann Theory Prize. His previous books include Approximation Algorithms and (co-edited) Algorithmic Game Theory.

Preface; Foreword Alvin E. Roth; Part I. Foundations of Market Design: 1. Two-sided markets: stable matching Federico Echenique, Nicole Immorlica and Vijay V. Vazirani; 2. One-sided matching markets Federico Echenique, Nicole Immorlica and Vijay V.Vazirani; 3. Matching markets with transfers and salaries Federico Echenique, Nicole Immorlica and Vijay V. Vazirani; 4. Objectives Federico Echenique, Nicole Immorlica and Vijay V.Vazirani; 5. Applications of online matching Zhiyi Huang and Thorben Trobst; 6. Online matching in advertisement auctions Nikhil R. Devanur and Aranyak Mehta; 7. Spectrum auctions from the perspective of matching Paul Milgrom and Andrew Vogt; 8. School choice Atila Abdulkadiroglu and Aram Grigoryam; 9. Kidney exchange Itai Ashlagi; 10. Normative properties for object allocation problems: characterizations and trade-offs Lars Ehlers and Bettina Klaus; 11. Choice and market design Samson Alva and Battal Dogan; 12. Combinatorics of stable matchings Tamas Fleiner; 13. Algorithmics of matching markets Jiehua Chen and David Manlove; 14. Generalized matching: contracts and networks John William Hatfield, Ravi Jagadeesan, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, Alexander Teytelboym and Alexander Westkamp; 15. Complementarities and externalities Thanh Nguyen and Rakesh Vohra; 16. Large matching markets Jacob D. Leshno; 17. Pseudomarkets Marek Pycia; 18. Dynamic matching Mariagiovanna Baccara and Leeat Yariv; 19. Matching with search frictions Hector Chade and Philipp Kircher; 20. Unraveling Hanna Halaburda and Guillaume Haeringer; 21. Investment in matching markets Matthew Elliott and Eduard Talamas; 22. Signaling in two-sided matching markets Soohyung Lee; 23. Two-sided markets matching design Renato Gomez and Alessandro Pavan; 24. Matching market experiments Yan Chen; 25. Empirical models of non-transferable utility matching Nikhil Agarwal and Paulo Somaini; 26. Structural estimation of matching markets with transferable utility Alfred Galichon and Bernard Salanie; 27. New solution concepts Shengwu Li and Irene Lo; 28. Machine learning for matching markets Zhe Feng, David C. Parkes and Sai Srivatsa Ravindranath; 29. Contract theory Gabriel Carroll; 30. Secretaries, prophets, and applications to matching Michal Feldman and Brendan Lucier; 31. Exploration and persuasion Aleksandrs Slivkins; 32. Fairness in prediction and allocation Jamie Morgenstern and Aaron L. Roth.

Erscheinungsdatum
Vorwort Alvin E. Roth
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 180 x 259 mm
Gewicht 1480 g
Themenwelt Informatik Theorie / Studium Algorithmen
Wirtschaft Betriebswirtschaft / Management
Wirtschaft Volkswirtschaftslehre Mikroökonomie
ISBN-10 1-108-83199-0 / 1108831990
ISBN-13 978-1-108-83199-4 / 9781108831994
Zustand Neuware
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