Game Theory and Psychology - Psychology - Oxford Bibliographies

Total Page:16

File Type:pdf, Size:1020Kb

Game Theory and Psychology - Psychology - Oxford Bibliographies Game Theory and Psychology - Psychology - Oxford Bibliographies Game Theory and Psychology Andrew M. Colman, Eva M. Krockow LAST MODIFIED: 27 JUNE 2017 DOI: 10.1093/OBO/9780199828340-0192 Introduction Game theory is a branch of decision theory focusing on interactive decisions, applicable whenever the actions of two or more decision makers jointly determine an outcome that affects them all. Strategic reasoning amounts to deciding how to act to achieve a desired objective, taking into account how others will act and the fact that they will also reason strategically. The primitive concepts of the theory are players (decision makers), strategies (alternatives among which each player chooses), and payoffs (numerical representations of the players’ preferences among the possible outcomes of the game). The theory’s fundamental assumptions are (i) that all players have consistent preferences and are instrumentally rational in the sense of invariably choosing an alternative that maximizes their individual payoffs, relative to their knowledge and beliefs at the time and (ii) that the specification of the game and the players’ preferences and rationality are common knowledge among the players (explained under Common Knowledge). Game theory amounts to working out the implications of these assumptions in particular classes of games and thereby determining how rational players will act. Psychology is the study of the nature, functions, and phenomena of behavior and mental experience, and two branches of psychology provide bridges to and from game theory: cognitive psychology, concerned with all forms of cognition, including decision making, and social psychology, concerned with how individual behavior and mental experience are influenced by other people. Psychology uses empirical research methods, including controlled experiments, and its usefulness for studying games emerges from three considerations. First, many games turn out to lack determinate game-theoretic solutions, and psychological theories and empirical evidence are therefore required to discover and understand how people play them. Second, human decision makers have bounded rationality and are rarely blessed with full common knowledge; consequently, except in the simplest cases, they do not necessarily choose strategies that maximize their payoffs even when determinate game-theoretic solutions exist. Third, human decision makers have other-regarding preferences and sometimes do not even try to maximize their personal payoffs, without regard to the payoffs of others, and psychological theory and empirical research are therefore required to provide a realistic account of real-life strategic interaction. Psychology has investigated strategic interaction since the 1950s; behavioral game theory, a branch of the emergent subdiscipline of behavioral economics, has used similar techniques since the late 1980s. General Overviews of Game Theory There are many excellent textbooks devoted to game theory and behavioral game theory, varying in their levels of mathematical difficulty and relevance to psychology. Luce and Raiffa 1957 is the most influential and widely read early text, and it has remained useful for succeeding generations of students and researchers. It offers an excellent introduction to standard concepts of game theory, including Nash equilibrium, the most fundamental solution concept for games of all types. A Nash equilibrium is an outcome of any game in which the strategy chosen by each player is a best reply to the strategies chosen by the other player(s), in the sense that no other choice would have yielded a better payoff, given the strategy choices of the other player(s), and as a consequence no player has cause to regret the chosen strategy when the outcome is revealed. Binmore 1991 is useful for mathematically minded beginners and more Game Theory and Psychology - Psychology - Oxford Bibliographies advanced readers, and the simpler text Gibbons 1992 conveys the basic mathematics more briefly. Colman 1995 reviews the fundamental ideas of game theory and related experimental research from a psychological perspective. Camerer 2003 provides the first wide-ranging survey of behavioral game theory in book form. In an influential monograph, Schelling 1960 uses game theory brilliantly to illuminate psychological features of human strategic interaction. Binmore, K. 1991. Fun and games: A text on game theory. Lexington, MA: Heath. This is a basic text on mathematical game theory written by a leading game theorist. It presents mathematical aspects of the theory exceptionally clearly, and readers with a basic knowledge of school mathematics should be able to understand it. Parts of it are far from elementary, making it interesting and informative even for readers with an intermediate-level understanding of game theory. Binmore, K. 2007. Game theory: A very short introduction. Oxford: Oxford Univ. Press. This very short introduction to the formal aspects of the theory outlines the basic ideas in an easily digestible form. Camerer, C. F. 2003. Behavioral game theory: Experiments in strategic interaction. Princeton, NJ: Princeton Univ. Press. This is a magisterial review of almost the whole of behavioral game theory up to the early 2000s. This book covers many key topics in remarkable depth, and much of it is essentially psychological in flavor. Colman, A. M. 1995. Game theory and its applications in the social and biological sciences. 2d ed. London: Routledge. This monograph presents the basic ideas of game theory from a psychological perspective, reviews experimental evidence up to the mid-1990s, and discusses applications of game theory to voting, evolution of cooperation, and moral philosophy. An appendix contains the most elementary available self-contained proof of the minimax theorem (see Strategic Reasoning Before Game Theory). The first edition was published in 1982. Gibbons, R. 1992. A primer in game theory. Hemel Hempstead, UK: Harvester Wheatsheaf. A more orthodox and slightly simpler and shorter basic text on mathematical game theory than Binmore 1991, widely prescribed in standard university courses and easily accessible to readers with a basic knowledge of school mathematics. Luce, R. D., and H. Raiffa. 1957. Games and decisions: Introduction and critical survey. New York: Wiley. This was the text that first brought game theory to the attention of behavioral and social scientists, being much more accessible than the book by von Neumann and Morgenstern 1944 (cited under Strategic Reasoning Before Game Theory) that had preceded it. It is a brilliant textbook with some simple mathematical content, and it has remained highly relevant and useful for subsequent generations of researchers and scholars. Schelling, T. C. 1960. The strategy of conflict. Cambridge, MA: Harvard Univ. Press. This fascinating monograph, by a psychologically minded economist, was largely responsible for its author’s Nobel Prize. It has hardly any mathematical content but instead uses the conceptual framework of game theory to focus on aspects of interactive decision making that lie outside the formal theory. This is a must-read for anyone interested in game theory in psychology. It was reprinted with a new preface in 1980. Game Theory and Psychology - Psychology - Oxford Bibliographies Strategic Reasoning before Game Theory The emergence of game theory is usually traced back to a proof in von Neumann 1928 of a key theorem (the minimax theorem, establishing the existence of, and characterizing, what were later called “Nash equilibria” for strictly competitive games) or to the first edition of Theory of Games and Economic Behavior (von Neumann and Morgenstern 1944). However, early records confirm that people had been aware of problems of strategic interaction in historical times. For example, the Babylonian Talmud, one of the core texts of Rabbinic Judaism, written in the 3rd to the 5th centuries CE, contains a detailed discussion of the fairest way to divide up the estate of a person who dies owing several creditors different amounts, the total owed exceeding the value of the estate, and the solution that is suggested (not simple proportionality) seems counterintuitive and baffled scholars for centuries. Aumann and Maschler 1985 shows that the Talmudic suggestion coincides with a game-theoretic solution called the “nucleolus,” the full mathematical details of which were first worked out and published in Schmeidler 1969. Evidence also exists of strategic reasoning in the Bible (see Games of Strategy in the Bible) and in ancient Rome (see Strategic Voting in Ancient Rome). Aumann, R. J., and M. Maschler. 1985. Game theoretic analysis of a bankruptcy problem from the Talmud. Journal of Economic Theory 36.2: 195–213. This article, the first author of which is the Nobel laureate and game theorist Robert J. Aumann, describes the problem of dividing up a bankrupt estate among creditors. It shows, in easily understood language, how the solution recommended in the Babylonian Talmud, which deviates from simple proportionality, coincides with the nucleolus of Schmeidler 1969. Schmeidler, D. 1969. The nucleolus of a characteristic function game. SIAM Journal of Applied Mathematics 17.6: 1163–1170. This is the original presentation of the theory of the nucleolus, considered an important though advanced “solution concept” for a particular class of games. von Neumann, J. 1928. Zur Theorie der Gesellschaftsspiele. Mathematische Annalen 100.1: 295–320. This article marks the emergence of game theory, according
Recommended publications
  • Game Theory Lecture Notes
    Game Theory: Penn State Math 486 Lecture Notes Version 2.1.1 Christopher Griffin « 2010-2021 Licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License With Major Contributions By: James Fan George Kesidis and Other Contributions By: Arlan Stutler Sarthak Shah Contents List of Figuresv Preface xi 1. Using These Notes xi 2. An Overview of Game Theory xi Chapter 1. Probability Theory and Games Against the House1 1. Probability1 2. Random Variables and Expected Values6 3. Conditional Probability8 4. The Monty Hall Problem 11 Chapter 2. Game Trees and Extensive Form 15 1. Graphs and Trees 15 2. Game Trees with Complete Information and No Chance 18 3. Game Trees with Incomplete Information 22 4. Games of Chance 24 5. Pay-off Functions and Equilibria 26 Chapter 3. Normal and Strategic Form Games and Matrices 37 1. Normal and Strategic Form 37 2. Strategic Form Games 38 3. Review of Basic Matrix Properties 40 4. Special Matrices and Vectors 42 5. Strategy Vectors and Matrix Games 43 Chapter 4. Saddle Points, Mixed Strategies and the Minimax Theorem 45 1. Saddle Points 45 2. Zero-Sum Games without Saddle Points 48 3. Mixed Strategies 50 4. Mixed Strategies in Matrix Games 53 5. Dominated Strategies and Nash Equilibria 54 6. The Minimax Theorem 59 7. Finding Nash Equilibria in Simple Games 64 8. A Note on Nash Equilibria in General 66 Chapter 5. An Introduction to Optimization and the Karush-Kuhn-Tucker Conditions 69 1. A General Maximization Formulation 70 2. Some Geometry for Optimization 72 3.
    [Show full text]
  • Game Theory- Prisoners Dilemma Vs Battle of the Sexes EXCERPTS
    Lesson 14. Game Theory 1 Lesson 14 Game Theory c 2010, 2011 ⃝ Roberto Serrano and Allan M. Feldman All rights reserved Version C 1. Introduction In the last lesson we discussed duopoly markets in which two firms compete to sell a product. In such markets, the firms behave strategically; each firm must think about what the other firm is doing in order to decide what it should do itself. The theory of duopoly was originally developed in the 19th century, but it led to the theory of games in the 20th century. The first major book in game theory, published in 1944, was Theory of Games and Economic Behavior,byJohnvon Neumann (1903-1957) and Oskar Morgenstern (1902-1977). We will return to the contributions of Von Neumann and Morgenstern in Lesson 19, on uncertainty and expected utility. Agroupofpeople(orteams,firms,armies,countries)areinagame if their decision problems are interdependent, in the sense that the actions that all of them take influence the outcomes for everyone. Game theory is the study of games; it can also be called interactive decision theory. Many real-life interactions can be viewed as games. Obviously football, soccer, and baseball games are games.Butsoaretheinteractionsofduopolists,thepoliticalcampaignsbetweenparties before an election, and the interactions of armed forces and countries. Even some interactions between animal or plant species in nature can be modeled as games. In fact, game theory has been used in many different fields in recent decades, including economics, political science, psychology, sociology, computer science, and biology. This brief lesson is not meant to replace a formal course in game theory; it is only an in- troduction.
    [Show full text]
  • California Institute of Technology
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Caltech Authors - Main DIVISION OF THE HUM ANITIES AND SO CI AL SCIENCES CALIFORNIA INSTITUTE OF TECHNOLOGY PASADENA, CALIFORNIA 91125 IMPLEMENTATION THEORY Thomas R. Palfrey � < a: 0 1891 u. "')/,.. () SOCIAL SCIENCE WORKING PAPER 912 September 1995 Implementation Theory Thomas R. Palfrey Abstract This surveys the branch of implementation theory initiated by Maskin (1977). Results for both complete and incomplete information environments are covered. JEL classification numbers: 025, 026 Key words: Implementation Theory, Mechanism Design, Game Theory, Social Choice Implementation Theory* Thomas R. Palfrey 1 Introduction Implementation theory is an area of research in economic theory that rigorously investi­ gates the correspondence between normative goals and institutions designed to achieve {implement) those goals. More precisely, given a normative goal or welfare criterion for a particular class of allocation pro blems (or domain of environments) it formally char­ acterizes organizational mechanisms that will guarantee outcomes consistent with that goal, assuming the outcomes of any such mechanism arise from some specification of equilibrium behavior. The approaches to this problem to date lie in the general domain of game theory because, as a matter of definition in the implementation theory litera­ ture, an institution is modelled as a mechanism, which is essentially a non-cooperative game. Moreover, the specific models of equilibrium behavior
    [Show full text]
  • Game Theoretic Interaction and Decision: a Quantum Analysis
    games Article Game Theoretic Interaction and Decision: A Quantum Analysis Ulrich Faigle 1 and Michel Grabisch 2,* 1 Mathematisches Institut, Universität zu Köln, Weyertal 80, 50931 Köln, Germany; [email protected] 2 Paris School of Economics, University of Paris I, 106-112, Bd. de l’Hôpital, 75013 Paris, France * Correspondence: [email protected]; Tel.: +33-144-07-8744 Received: 12 July 2017; Accepted: 21 October 2017; Published: 6 November 2017 Abstract: An interaction system has a finite set of agents that interact pairwise, depending on the current state of the system. Symmetric decomposition of the matrix of interaction coefficients yields the representation of states by self-adjoint matrices and hence a spectral representation. As a result, cooperation systems, decision systems and quantum systems all become visible as manifestations of special interaction systems. The treatment of the theory is purely mathematical and does not require any special knowledge of physics. It is shown how standard notions in cooperative game theory arise naturally in this context. In particular, states of general interaction systems are seen to arise as linear superpositions of pure quantum states and Fourier transformation to become meaningful. Moreover, quantum games fall into this framework. Finally, a theory of Markov evolution of interaction states is presented that generalizes classical homogeneous Markov chains to the present context. Keywords: cooperative game; decision system; evolution; Fourier transform; interaction system; measurement; quantum game 1. Introduction In an interaction system, economic (or general physical) agents interact pairwise, but do not necessarily cooperate towards a common goal. However, this model arises as a natural generalization of the model of cooperative TU games, for which already Owen [1] introduced the co-value as an assessment of the pairwise interaction of two cooperating players1.
    [Show full text]
  • The Logic of Costly Punishment Reversed: Expropriation of Free-Riders and Outsiders∗,†
    The logic of costly punishment reversed: expropriation of free-riders and outsiders∗ ,† David Hugh-Jones Carlo Perroni University of East Anglia University of Warwick and CAGE January 5, 2017 Abstract Current literature views the punishment of free-riders as an under-supplied pub- lic good, carried out by individuals at a cost to themselves. It need not be so: often, free-riders’ property can be forcibly appropriated by a coordinated group. This power makes punishment profitable, but it can also be abused. It is easier to contain abuses, and focus group punishment on free-riders, in societies where coordinated expropriation is harder. Our theory explains why public goods are un- dersupplied in heterogenous communities: because groups target minorities instead of free-riders. In our laboratory experiment, outcomes were more efficient when coordination was more difficult, while outgroup members were targeted more than ingroup members, and reacted differently to punishment. KEY WORDS: Cooperation, costly punishment, group coercion, heterogeneity JEL CLASSIFICATION: H1, H4, N4, D02 ∗We are grateful to CAGE and NIBS grant ES/K002201/1 for financial support. We would like to thank Mark Harrison, Francesco Guala, Diego Gambetta, David Skarbek, participants at conferences and presentations including EPCS, IMEBESS, SAET and ESA, and two anonymous reviewers for their comments. †Comments and correspondence should be addressed to David Hugh-Jones, School of Economics, University of East Anglia, [email protected] 1 Introduction Deterring free-riding is a central element of social order. Most students of collective action believe that punishing free-riders is costly to the punisher, but benefits the community as a whole.
    [Show full text]
  • Prisoners of Reason Game Theory and Neoliberal Political Economy
    C:/ITOOLS/WMS/CUP-NEW/6549131/WORKINGFOLDER/AMADAE/9781107064034PRE.3D iii [1–28] 11.8.2015 9:57PM Prisoners of Reason Game Theory and Neoliberal Political Economy S. M. AMADAE Massachusetts Institute of Technology C:/ITOOLS/WMS/CUP-NEW/6549131/WORKINGFOLDER/AMADAE/9781107064034PRE.3D iv [1–28] 11.8.2015 9:57PM 32 Avenue of the Americas, New York, ny 10013-2473, usa Cambridge University Press is part of the University of Cambridge. It furthers the University’s mission by disseminating knowledge in the pursuit of education, learning, and research at the highest international levels of excellence. www.cambridge.org Information on this title: www.cambridge.org/9781107671195 © S. M. Amadae 2015 This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 2015 Printed in the United States of America A catalog record for this publication is available from the British Library. Library of Congress Cataloging in Publication Data Amadae, S. M., author. Prisoners of reason : game theory and neoliberal political economy / S.M. Amadae. pages cm Includes bibliographical references and index. isbn 978-1-107-06403-4 (hbk. : alk. paper) – isbn 978-1-107-67119-5 (pbk. : alk. paper) 1. Game theory – Political aspects. 2. International relations. 3. Neoliberalism. 4. Social choice – Political aspects. 5. Political science – Philosophy. I. Title. hb144.a43 2015 320.01′5193 – dc23 2015020954 isbn 978-1-107-06403-4 Hardback isbn 978-1-107-67119-5 Paperback Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party Internet Web sites referred to in this publication and does not guarantee that any content on such Web sites is, or will remain, accurate or appropriate.
    [Show full text]
  • Can Game Theory Be Used to Address PPP Renegotiations?
    Can game theory be used to address PPP renegotiations? A retrospective study of the of the Metronet - London Underground PPP By Gregory Michael Kennedy [152111301] Supervisors Professor Ricardo Ferreira Reis, PhD Professor Joaquim Miranda Sarmento, PhD Dissertation submitted in partial fulfilment of requirements for the degree of MSc in Business Administration, at the Universidade Católica Portuguesa June 2013 Abstract of thesis entitled “Can game theory be used to address PPP renegotiations? A retrospective study of the of the Metronet - London Underground PPP” Submitted by Gregory Michael Kennedy (152111301) In partial fulfilment of requirements for the degree of MSc in Business Administration, at the Universidade Católica Portuguesa June 2013 Public Private Partnerships (PPPs) have been introduced in many countries in order to increase the supply of public infrastructure services. The main criterion for implementing a PPP is that it will provide value for money. Often, however, these projects enter into financial distress which requires that they either be rescued or retendered. The cost of such a financial renegotiation can erode the value for money supposed to be created by the PPP. Due to the scale and complexity of these projects, the decision either to rescue or retender the project is not straightforward. We determine whether game theory can aid the decision making process in PPP renegotiation by applying a game theory model retrospectively to the failure of the Metronet - London Underground PPP. We study whether the model can be applied to a real PPP case, whether the application of this model would have changed the outcome of the case and, finally, whether and how the model can be used in future PPP renegotiations.
    [Show full text]
  • Repeated Games
    REPEATED GAMES 1 Early PD experiments In 1950, Merrill Flood and Melvin Dresher (at RAND) devised an experiment to test Nash’s theory about defection in a two-person prisoners’ dilemma. Experimental Design – They asked two friends to play the PD 100 times. – They measured the success of Nash’s equilibrium concept by counting the number of times the players chose {D;D}. 2 Flood and Dresher’s results Player 1 cooperated in 68 rounds Player 2 cooperated in 78 rounds Both cooperated in 60 of last 89 rounds Flood Dresher Nash 3 Flood and Dresher’s results Player 1 cooperated in 68 rounds Player 2 cooperated in 78 rounds Both cooperated in 60 of last 89 rounds Wait a Ha! That jerk I can’tI’mOh a be Ha! Nash second... Nash was genius...%&@#!wrong! was wrong! wrong! Flood Dresher Nash 4 Nash’s response “If this experiment were conducted with various different players rotating the competition and with no information given to a player of what choices the others have been making until the end of all trials, then the experimental results would have been quite different, for this modification of procedure would remove the interaction between the trials.” 5 Nash’s response “The flaw in this experiment as a test of equilibrium point theory is that the experiment really amounts to having the players play one large multimove game. One cannot...think of the thing as a sequence of independent games...there is too much interaction.” In other words, Nash said that repeating the game changes the game itself.
    [Show full text]
  • Recency, Records and Recaps: Learning and Non-Equilibrium Behavior in a Simple Decision Problem*
    Recency, Records and Recaps: Learning and Non-equilibrium Behavior in a Simple Decision Problem* DREW FUDENBERG, Harvard University ALEXANDER PEYSAKHOVICH, Facebook Nash equilibrium takes optimization as a primitive, but suboptimal behavior can persist in simple stochastic decision problems. This has motivated the development of other equilibrium concepts such as cursed equilibrium and behavioral equilibrium. We experimentally study a simple adverse selection (or “lemons”) problem and find that learning models that heavily discount past information (i.e. display recency bias) explain patterns of behavior better than Nash, cursed or behavioral equilibrium. Providing counterfactual information or a record of past outcomes does little to aid convergence to optimal strategies, but providing sample averages (“recaps”) gets individuals most of the way to optimality. Thus recency effects are not solely due to limited memory but stem from some other form of cognitive constraints. Our results show the importance of going beyond static optimization and incorporating features of human learning into economic models. Categories & Subject Descriptors: J.4 [Social and Behavioral Sciences] Economics Author Keywords & Phrases: Learning, behavioral economics, recency, equilibrium concepts 1. INTRODUCTION Understanding when repeat experience can lead individuals to optimal behavior is crucial for the success of game theory and behavioral economics. Equilibrium analysis assumes all individuals choose optimal strategies while much research in behavioral economics
    [Show full text]
  • Public Goods Agreements with Other-Regarding Preferences
    NBER WORKING PAPER SERIES PUBLIC GOODS AGREEMENTS WITH OTHER-REGARDING PREFERENCES Charles D. Kolstad Working Paper 17017 http://www.nber.org/papers/w17017 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 May 2011 Department of Economics and Bren School, University of California, Santa Barbara; Resources for the Future; and NBER. Comments from Werner Güth, Kaj Thomsson and Philipp Wichardt and discussions with Gary Charness and Michael Finus have been appreciated. Outstanding research assistance from Trevor O’Grady and Adam Wright is gratefully acknowledged. Funding from the University of California Center for Energy and Environmental Economics (UCE3) is also acknowledged and appreciated. The views expressed herein are those of the author and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2011 by Charles D. Kolstad. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Public Goods Agreements with Other-Regarding Preferences Charles D. Kolstad NBER Working Paper No. 17017 May 2011, Revised June 2012 JEL No. D03,H4,H41,Q5 ABSTRACT Why cooperation occurs when noncooperation appears to be individually rational has been an issue in economics for at least a half century. In the 1960’s and 1970’s the context was cooperation in the prisoner’s dilemma game; in the 1980’s concern shifted to voluntary provision of public goods; in the 1990’s, the literature on coalition formation for public goods provision emerged, in the context of coalitions to provide transboundary pollution abatement.
    [Show full text]
  • The Impact of Beliefs on Effort in Telecommuting Teams
    The impact of beliefs on effort in telecommuting teams E. Glenn Dutcher, Krista Jabs Saral Working Papers in Economics and Statistics 2012-22 University of Innsbruck http://eeecon.uibk.ac.at/ University of Innsbruck Working Papers in Economics and Statistics The series is jointly edited and published by - Department of Economics - Department of Public Finance - Department of Statistics Contact Address: University of Innsbruck Department of Public Finance Universitaetsstrasse 15 A-6020 Innsbruck Austria Tel: + 43 512 507 7171 Fax: + 43 512 507 2970 E-mail: [email protected] The most recent version of all working papers can be downloaded at http://eeecon.uibk.ac.at/wopec/ For a list of recent papers see the backpages of this paper. The Impact of Beliefs on E¤ort in Telecommuting Teams E. Glenn Dutchery Krista Jabs Saralz February 2014 Abstract The use of telecommuting policies remains controversial for many employers because of the perceived opportunity for shirking outside of the traditional workplace; a problem that is potentially exacerbated if employees work in teams. Using a controlled experiment, where individuals work in teams with varying numbers of telecommuters, we test how telecommut- ing a¤ects the e¤ort choice of workers. We …nd that di¤erences in productivity within the team do not result from shirking by telecommuters; rather, changes in e¤ort result from an individual’s belief about the productivity of their teammates. In line with stereotypes, a high proportion of both telecommuting and non-telecommuting participants believed their telecommuting partners were less productive. Consequently, lower expectations of partner productivity resulted in lower e¤ort when individuals were partnered with telecommuters.
    [Show full text]
  • Noisy Directional Learning and the Logit Equilibrium*
    CSE: AR SJOE 011 Scand. J. of Economics 106(*), *–*, 2004 DOI: 10.1111/j.1467-9442.2004.000376.x Noisy Directional Learning and the Logit Equilibrium* Simon P. Anderson University of Virginia, Charlottesville, VA 22903-3328, USA [email protected] Jacob K. Goeree California Institute of Technology, Pasadena, CA 91125, USA [email protected] Charles A. Holt University of Virginia, Charlottesville, VA 22903-3328, USA [email protected] PROOF Abstract We specify a dynamic model in which agents adjust their decisions toward higher payoffs, subject to normal error. This process generates a probability distribution of players’ decisions that evolves over time according to the Fokker–Planck equation. The dynamic process is stable for all potential games, a class of payoff structures that includes several widely studied games. In equilibrium, the distributions that determine expected payoffs correspond to the distributions that arise from the logit function applied to those expected payoffs. This ‘‘logit equilibrium’’ forms a stochastic generalization of the Nash equilibrium and provides a possible explanation of anomalous laboratory data. ECTED Keywords: Bounded rationality; noisy directional learning; Fokker–Planck equation; potential games; logit equilibrium JEL classification: C62; C73 I. Introduction Small errors and shocks may have offsetting effects in some economic con- texts, in which case there is not much to be gained from an explicit analysis of stochasticNCORR elements. In other contexts, a small amount of randomness can * We gratefully acknowledge financial support from the National Science Foundation (SBR- 9818683U and SBR-0094800), the Alfred P. Sloan Foundation and the Dutch National Science Foundation (NWO-VICI 453.03.606).
    [Show full text]