Group Incentive Compatible Mechanism Yielding Core Allocations*
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Viable Nash Equilibria: Formation and Defection (Feb 2020)
VIABLE NASH EQUILIBRIA: FORMATION AND DEFECTION (FEB 2020) EHUD KALAI In memory of John Nash Abstract. To be credible, economic analysis should restrict itself to the use of only those Nash equilibria that are viable. To assess the viability of an equilibrium , I study simple dual indices: a formation index, F (), that speci…es the number of loyalists needed to form ; and a defection index, D(), that speci…es the number of defectors that can sustain. Surprisingly, these simple indices (1) predict the performance of Nash equilibria in social systems and lab experiments, and (2) uncover new prop- erties of Nash equilibria and stability issues that have so far eluded game theory re…nements. JEL Classi…cation Codes: C0, C7, D5, D9. 1. Overview Current economic analysis often relies on the notion of a Nash equilibrium. Yet there are mixed opinions about the viability of this notion. On the one hand, many equilibria, referred to as viable in this paper, play critical roles in functioning social systems and perform well in lab and …eld experiments. Date: March 9, 2018, this version Feb 24, 2020. Key words and phrases. Normal form games, Nash equilibrium, Stability, Fault tolerance, Behavioral Economics. The author thanks the following people for helpful conversations: Nemanja Antic, Sunil Chopra, Vince Crawford, K…r Eliaz, Drew Fudenberg, Ronen Gradwohl, Yingni Guo, Adam Kalai, Fern Kalai, Martin Lariviere, Eric Maskin, Rosemarie Nagel, Andy Postlewaite, Larry Samuelson, David Schmeidler, James Schummer, Eran Shmaya, Joel Sobel, and Peyton Young; and seminar participants at the universities of the Basque Country, Oxford, Tel Aviv, Yale, Stanford, Berkeley, Stony Brook, Bar Ilan, the Technion, and the Hebrew University. -
Collusion Constrained Equilibrium
Theoretical Economics 13 (2018), 307–340 1555-7561/20180307 Collusion constrained equilibrium Rohan Dutta Department of Economics, McGill University David K. Levine Department of Economics, European University Institute and Department of Economics, Washington University in Saint Louis Salvatore Modica Department of Economics, Università di Palermo We study collusion within groups in noncooperative games. The primitives are the preferences of the players, their assignment to nonoverlapping groups, and the goals of the groups. Our notion of collusion is that a group coordinates the play of its members among different incentive compatible plans to best achieve its goals. Unfortunately, equilibria that meet this requirement need not exist. We instead introduce the weaker notion of collusion constrained equilibrium. This al- lows groups to put positive probability on alternatives that are suboptimal for the group in certain razor’s edge cases where the set of incentive compatible plans changes discontinuously. These collusion constrained equilibria exist and are a subset of the correlated equilibria of the underlying game. We examine four per- turbations of the underlying game. In each case,we show that equilibria in which groups choose the best alternative exist and that limits of these equilibria lead to collusion constrained equilibria. We also show that for a sufficiently broad class of perturbations, every collusion constrained equilibrium arises as such a limit. We give an application to a voter participation game that shows how collusion constraints may be socially costly. Keywords. Collusion, organization, group. JEL classification. C72, D70. 1. Introduction As the literature on collective action (for example, Olson 1965) emphasizes, groups often behave collusively while the preferences of individual group members limit the possi- Rohan Dutta: [email protected] David K. -
DP Cover1512 Kalai.Cdr
Discussion Paper #1512 June 16, 2010 A A Cooperative Value for Bayesian Games Key words: cooperative game theory, non- cooperative game theory, bargaining, min-max value JEL classification: C70, C71, C72, C78 Adam Kalai Microsoft Research Ehud Kalai Northwestern University www.kellogg.northwestern.edu/research/math everone Hall Evanston, IL 60208-2014 US CMS-EMS oad 580 L The Center for Mathematical Studies in Economics & Management Sciences Northwestern University 2001 Sheridan R A COOPERATIVE VALUE FOR BAYESIAN GAMES ADAM TAUMAN KALAI∗ AND EHUD KALAIy;x Abstract. Selfish, strategic players may benefit from cooperation, provided they reach agreement. It is therefore important to construct mechanisms that facilitate such cooperation, especially in the case of asymmetric private information. The two major issues are: (1) singling out a fair and efficient outcome among the many individually rational possibilities in a strategic game, and (2) establishing a play protocol under which strategic players may achieve this outcome. The paper presents a general solution for two-person Bayesian games with monetary payoffs, under a strong revealed-payoff assumption. The proposed solution builds upon earlier concepts in game theory. It coincides with the von Neumann minmax value on the class of zero sum games and with the major solution concepts to the Nash Bargaining Problem. Moreover, the solution is based on a simple decomposition of every game into cooperative and competitive components, which is easy to compute. 1. Introduction Selfish players in strategic games benefit from cooperation, provided they come to mutually beneficial agreements. In the case of asymmetric private information, the benefits may be even greater, but avoiding strategic manipulations is more subtle. -
Informational Size and Incentive Compatibility
Econometrica, Vol. 70, No. 6 (November, 2002), 2421–2453 INFORMATIONAL SIZE AND INCENTIVE COMPATIBILITY By Richard McLean and Andrew Postlewaite1 We examine a general equilibrium model with asymmetrically informed agents. The presence of asymmetric information generally presents a conflict between incentive com- patibility and Pareto efficiency. We present a notion of informational size and show that the conflict between incentive compatibility and efficiency can be made arbitrarily small if agents are of sufficiently small informational size. Keywords: Incentive compatibility, mechanism design, incomplete information. 1 introduction The incompatibility of Pareto efficiency and incentive compatibility is a central theme in economics and game theory. The issues associated with this incompatibility are particularly important in the design of resource allocation mechanisms in the presence of asymmetrically informed agents where the need to acquire information from agents in order to compute efficient outcomes and the incentives agents have to misrepresent that information for personal gain come into conflict. Despite a large literature that focuses on these issues, there has been little work aimed at understanding those situations in which informational asymmetries are quantitatively important. Virtually every transaction is characterized by some asymmetry of information: any investor who buys or sells a share of stock generally knows something rel- evant to the value of the share that is not known to the person on the other side of the transaction. In order to focus on more salient aspects of the problem, many models (rightly) ignore the incentive problems associated with informa- tional asymmetries in the belief that, for the problem at hand, agents are “infor- mationally small.” However, few researchers have investigated the circumstances under which an analysis that ignores these incentive problems will yield results similar to those obtained when these problems are fully accounted for. -
Matthew O. Jackson
Matthew O. Jackson Department of Economics Stanford University Stanford, CA 94305-6072 (650) 723-3544, fax: 725-5702, [email protected] http://www.stanford.edu/ jacksonm/ ⇠ Personal: Born 1962. Married to Sara Jackson. Daughters: Emilie and Lisa. Education: Ph.D. in Economics from the Graduate School of Business, Stanford Uni- versity, 1988. Bachelor of Arts in Economics, Summa Cum Laude, Phi Beta Kappa, Princeton University, 1984. Full-Time Appointments: 2008-present, William D. Eberle Professor of Economics, Stanford Univer- sity. 2006-2008, Professor of Economics, Stanford University. 2002-2006, Edie and Lew Wasserman Professor of Economics, California Institute of Technology. 1997-2002, Professor of Economics, California Institute of Technology. 1996-1997, IBM Distinguished Professor of Regulatory and Competitive Practices MEDS department (Managerial Economics and Decision Sci- ences), Kellogg Graduate School of Management, Northwestern Univer- sity. 1995-1996, Mechthild E. Nemmers Distinguished Professor MEDS, Kellogg Graduate School of Management, Northwestern University. 1993-1994 , Professor (MEDS), Kellogg Graduate School of Management, Northwestern University. 1991-1993, Associate Professor (MEDS), Kellogg Graduate School of Man- agement, Northwestern University. 1988-1991, Assistant Professor, (MEDS), Kellogg Graduate School of Man- agement, Northwestern University. Honors : Jean-Jacques La↵ont Prize, Toulouse School of Economics 2020. President, Game Theory Society, 2020-2022, Exec VP 2018-2020. Game Theory Society Fellow, elected 2017. John von Neumann Award, Rajk L´aszl´oCollege, 2015. Member of the National Academy of Sciences, elected 2015. Honorary Doctorate (Doctorat Honoris Causa), Aix-Marseille Universit´e, 2013. Dean’s Award for Distinguished Teaching in Humanities and Sciences, Stanford, 2013. Distinguished Teaching Award: Stanford Department of Economics, 2012. -
Large Games: Structural Robustness
1 Large games: structural robustness Ehud Kalai Northwestern University Forthcoming in The New Palgrave Dictionary of Economics , 2 nd edition, Palgrave Macmillan ABSTRACT In simultaneous-move Bayesian games with many semi-anonymous players all the equilibria are structurally robust. The equilibria survive under structural alterations of the rules of the game and its information structure, even when the game is embedded in bigger games. Structural robustness implies ex-post Nash condition s and a stronger condition of information proofness. It also implies fast learning, self-purification and strong rational expectations in market games. Structurally robust equilibria may be used to model games with highly unspecified structures, such as games played on the web. 0. Background on large games Earlier literature on large (many players) cooperative games is surveyed in Aumann and Shapley (1974). For large strategic games, see Schmeidler (1973) and the follow-up literature on the purification of Nash equilibria. There is also substantial literature on large games with special structures, for example large auctions as reported in Rustichini, Satterthwaite, and Williams (1994). Unlike the above, this survey concentrates on the structural robustness of (general) Bayesian games with many semi-anonymous players, as developed in Kalai (2004, 2005). (For additional notions of robustness in game theory, see Bergemann and Morris, 2005). 1. Main message and examples In simultaneous-move Bayesian games with many semi-anonymous players, all Nash equilibria are structurally robust. The equilibria survive under structural alterations that 2 relax the simultaneous-play assumptions, and permit information transmission, revisions of choices, communication, commitments, delegation, and more. Large economic and political systems and distributive systems such as the Web are examples of environments that give rise to such games. -
Agency Business Cycles
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Golosov, Michail Ju.; Menzio, Guido Article Agency business cycles Theoretical Economics Provided in Cooperation with: The Econometric Society Suggested Citation: Golosov, Michail Ju.; Menzio, Guido (2020) : Agency business cycles, Theoretical Economics, ISSN 1555-7561, Wiley, Hoboken, NJ, Vol. 15, Iss. 1, pp. 123-158, http://dx.doi.org/10.3982/TE3379 This Version is available at: http://hdl.handle.net/10419/217101 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by-nc/4.0/ www.econstor.eu Theoretical Economics 15 (2020), 123–158 1555-7561/20200123 Agency business cycles Mikhail Golosov Department of Economics, University of Chicago and NBER Guido Menzio Department of Economics, New York University and NBER We develop a theory of endogenous and stochastic fluctuations in economic ac- tivity. -
Curriculum Vitae 03/97
CURRICULUM VITAE April 2006 Ehud Kalai, Ph.D. Home Office 1110 N. Lake Shore Dr., Apt. 23S Department of Managerial Economics and Decision Sciences Chicago, IL 60611 Kellogg School of Management Phone: (847) 571-1097 Northwestern University, Evanston, Illinois, 60208 Fax: (312) 482-9772 (847) 491-7017; fax (847) 467-3646 e-mail: [email protected] Born, December 7, 1942, Tel Aviv, Israel Education Cornell University, Ithaca, New York: Ph.D. in Mathematics (1972); MS in Statistics (1971). University of California, Berkeley: A.B. in Mathematics (1967). Permanent Academic Positions 09/75-present Kellogg School of Management, Northwestern University: Visiting Assistant Professor (9/75-9/76), Associate Professor (9/76-9/78), Professor (9/78-9/82), The Charles E. Morrison Professor of Decision Sciences (9/82-9/2001); The James J. O'Connor Distinguished Professor of Decision and Game Sciences (9/2001 - present). 03/90-present Professor of Mathematics (courtesy), Department of Mathematics, CAS, Northwestern University. 10/72-9/75 Assistant Professor, Department of Statistics, Tel Aviv University. Editorial Positions Editor and founder, Games and Economic Behavior, Academic Press, 1988- . Member of the Editorial Board of the International Journal of Game Theory, Physica Verlag, 1984- . Member of the Editorial Board of Mathematical Social Sciences, North-Holland, 1980-1993. Associate Editor, The Journal of Economic Theory, Academic Press, Inc., 1980-1988. Other Positions President of the Game Theory Society, 2003-2006 Co Founder and Executive Vice President of the Game Theory Society, 1998-2003 Director of the Kellogg Center for Strategic Decision-Making, 1995- . Founding organizer of the Nancy L. -
Political Game Theory Nolan Mccarty Adam Meirowitz
Political Game Theory Nolan McCarty Adam Meirowitz To Liz, Janis, Lachlan, and Delaney. Contents Acknowledgements vii Chapter 1. Introduction 1 1. Organization of the Book 2 Chapter 2. The Theory of Choice 5 1. Finite Sets of Actions and Outcomes 6 2. Continuous Outcome Spaces* 10 3. Utility Theory 17 4. Utility representations on Continuous Outcome Spaces* 18 5. Spatial Preferences 19 6. Exercises 21 Chapter 3. Choice Under Uncertainty 23 1. TheFiniteCase 23 2. Risk Preferences 32 3. Learning 37 4. Critiques of Expected Utility Theory 41 5. Time Preferences 46 6. Exercises 50 Chapter 4. Social Choice Theory 53 1. The Open Search 53 2. Preference Aggregation Rules 55 3. Collective Choice 61 4. Manipulation of Choice Functions 66 5. Exercises 69 Chapter 5. Games in the Normal Form 71 1. The Normal Form 73 2. Solutions to Normal Form Games 76 3. Application: The Hotelling Model of Political Competition 83 4. Existence of Nash Equilibria 86 5. Pure Strategy Nash Equilibria in Non-Finite Games* 93 6. Application: Interest Group Contributions 95 7. Application: International Externalities 96 iii iv CONTENTS 8. Computing Equilibria with Constrained Optimization* 97 9. Proving the Existence of Nash Equilibria** 98 10. Strategic Complementarity 102 11. Supermodularity and Monotone Comparative Statics* 103 12. Refining Nash Equilibria 108 13. Application: Private Provision of Public Goods 109 14. Exercises 113 Chapter 6. Bayesian Games in the Normal Form 115 1. Formal Definitions 117 2. Application: Trade restrictions 119 3. Application: Jury Voting 121 4. Application: Jury Voting with a Continuum of Signals* 123 5. Application: Public Goods and Incomplete Information 126 6. -
Nancy L. Stokey
March 2021 NANCY L. STOKEY Office Address Home Address Kenneth C. Griffin Department of Economics 320 W. Oakdale Ave., #1903 University of Chicago Chicago, IL 60657 1126 East 59th Street Chicago, IL 60637 Telephone: 773-702-0915 Telephone: 773-477-9640 Fax: 773-702-8490 E-mail: nstokey[at]uchicago.edu Education Doctor of Philosophy in Economics, Harvard University, 1978. Bachelor of Arts in Economics, University of Pennsylvania, 1972. Professional Experience Distinguished Service Professor, 2004-present, University of Chicago; Frederick Henry Prince Professor of Economics, 1997-2004; Professor of Economics, 1990-1996. Visiting Scholar of the Research Department, Federal Reserve Bank of Minneapolis, Fall 2000, Fall 2001, Fall 2002, Fall 2003, Fall 2009, Fall 2010, Fall 2011, Fall 2013, Fall 2018. Harold L. Stuart Professor of Managerial Economics, 1988-90, Department of Managerial Economics and Decision Sciences, Kellogg Graduate School of Management, Northwestern University; Department Chairman, 1987-89; Professor, 1983-87; Associate Professor, 1982-83; Assistant Professor, 1978-82. Visiting Professor of Economics, Department of Economics, University of Chicago, 1983-84. Visiting Professor of Economics, Department of Economics, University of Minnesota, Spring 1983. Visiting Lecturer on Economics, Department of Economics, Harvard University, Fall 1982. Professional Activities and Awards President, Society for the Advancement of Economic Theory (SAET), January 1 – December 31, 2021. American Academy of Arts and Sciences Class III, Section 2 (Economics) Membership Panel, 2019-20. American Academy of Arts and Sciences Class III, Section 2 (Economics) Membership Panel, 2018-19. CME Group-MSRI Prize Committee, 2018-19. Plenary Speaker, Society for Economic Dynamics, Mexico City, June, 2018. Plenary Speaker, Tsinghua Workshop in Macroeconomics, Beijing, June, 2018. -
Large Robust Games 1. Introduction and Examples
LARGE ROBUST GAMES EHUD KALAI Abstract. With many semi-anonymous players, the equilibria of simultaneous- move games are extensively robust. This means that the equilibria survive even if the simultaneous-play assumption is relaxed to allow for a large variety of ex- tensive modifications. Such modification include sequential play with partial and differential revelation of information, commitments and multiple revisions of choices, cheap talk announcements and more. 1. INTRODUCTION AND EXAMPLES 1.1. INTRODUCTION. Games with many players is an old topic in economics and in cooperative game theory. Prominent theorists, including Arrow, Aumann, Debreu, Hildenbrand, Scarf, Shapley, and Shubik, have shown that in large cooper- ative games major modeling difficulties disappear. For example, solution concepts such as the core, competitive equilibrium, and the Shapley value, which in general predict different outcomes for the same game, predict the same outcome when the number of players is large. As a special case, this coincidence offers a cooperative- coalitional foundation for competitive equilibria. For a general survey, see Aumann and Shapley (1974). Less is known about general non-cooperative strategic games with many players. An early study of this subject was Schmeidler (1973), who shows the existence of pure-strategy Nash equilibria in normal-form games with a continuum of anony- mous players. More recently there have been many studies of specific large economic games; see, for example, Mailath and Postlewaite (1990) on bargaining, Rustichini, Sat- terthwaite, and Williams (1994) and Pesendorfer and Swinkels (1997) on auctions, Date:February5,2004. Key words and phrases. anonymous games, Nash equilibrium, Bayesian equilibrium, purifica- tion, robust equilibrium, ex-post Nash, rational expectations equilibrium. -
Lectures in Contract Theory1
Lectures in Contract Theory1 Steve Tadelis and Ilya Segal2 UC Berkeley and Stanford University Preliminary and Incomplete December 2005 1These notes were prepared for a second year graduate course in Contract theory at Stanford University (Econ 282/291) and UC Berkeley (Econ 206). They are preliminary and incomplete. Thanks also to Debbie Johnston for typing the first version and to Scott Hemphill for excellent research assistance. 2Copyright c 1998-2005 by Steven Tadelis and Ilya Segal. All rights reserved. No part of these° notes may be reproduced in any form by any electronuic or mechanical means without writen permission from the author. Contents IIntroduction 5 0.1Tradewithsmallnumbersofagents............... 6 0.2 Incentives ............................. 7 0.3BoundedRationality....................... 8 0.4Contracts,Mechanisms,Institutions............... 8 II Hidden Information 10 1 The Principal-Agent Model 12 1.1Setup................................ 12 1.1.1 Preferences........................ 12 1.1.2 Contracting........................ 13 1.2Single-CrossingandtheMonotonicityofChoice........ 13 1.3TheFullInformationBenchmark................ 16 1.4TheRevelationPrinciple..................... 18 1.5SolutionwithTwoTypes..................... 20 1.5.1 ManyDiscreteTypes................... 24 1.6SolutionwithaContinuumofTypes.............. 25 1.6.1 TheRelaxedProblem................... 28 1.6.2 Whattodoifmonotonicitybinds(technical)...... 31 1.7ApplicationsoftheModel.................... 32 1.7.1 SecondDegreePriceDiscrimination..........