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Economics & Finance 2011
Economics & Finance 2011 press.princeton.edu Contents General Interest 1 Economic Theory & Research 15 Game Theory 18 Finance 19 Econometrics, Mathematical & Applied Economics 24 Innovation & Entrepreneurship 26 Political Economy, Trade & Development 27 Public Policy 30 Economic History & History of Economics 31 Economic Sociology & Related Interest 36 Economics of Education 42 Classic Textbooks 43 Index/Order Form 44 TEXT Professors who wish to consider a book from this catalog for course use may request an examination copy. For more information please visit: press.princeton.edu/class.html New Winner of the 2010 Business Book of the Year Award, Financial Times/Goldman Sachs Fault Lines How Hidden Fractures Still Threaten the World Economy Raghuram G. Rajan “What caused the crisis? . There is an embarrassment of causes— especially embarrassing when you recall how few people saw where they might lead. Raghuram Rajan . was one of the few to sound an alarm before 2007. That gives his novel and sometimes surprising thesis added authority. He argues in his excellent new book that the roots of the calamity go wider and deeper still.” —Clive Crook, Financial Times Raghuram G. Rajan is the Eric J. Gleacher Distinguished Service Profes- “Excellent . deserve[s] to sor of Finance at the University of Chicago Booth School of Business and be widely read.” former chief economist at the International Monetary Fund. —Economist 2010. 272 pages. Cl: 978-0-691-14683-6 $26.95 | £18.95 Not for sale in India ForthcominG Blind Spots Why We Fail to Do What’s Right and What to Do about It Max H. Bazerman & Ann E. -
Strong Enforcement by a Weak Authority∗
Strong Enforcement by a Weak Authority¤ Jakub Steinery CERGE-EI February 17, 2006 Abstract This paper studies the enforcement abilities of authorities with a limited commitment to punishing violators. Commitment of resources su±cient to punish only one agent is needed to enforce high compliance of an arbitrary number of agents. Though existence of other, non-compliance equilibria is generally inevitable, there exist punishment rules suitable for a limited authority to assure that compliance prevails in the long run under stochastic evolution. JEL classi¯cation: C73, D64, H41. Keywords: Commitment, Enforcement, Punishment, Stochastic Evolution. ¤The paper builds on my earlier work \A Trace of Anger is Enough, on the Enforcement of Social Norms". I bene¯ted from the comments of Kenneth Binmore, Fuhito Kojima, Simon GÄachter, Werner GÄuth,Eugen Kov¶a·c,and Jarom¶³rKova·r¶³k.Dirk Engelmann, Andreas Ortmann, and Avner Shaked inspired me in numerous discussions. Laura Strakova carefully edited the paper. The usual disclaimer applies. yCenter for Economic Research and Graduate Education, Charles University, and Economics Institute, Academy of Sciences of the Czech Republic (CERGE-EI), Address: Politickych Veznu 7, 111 21, Prague, Czech Republic, Tel: +420-605-286-947, E-mail: [email protected]. WWW: http://home.cerge-ei.cz/steiner/ 1 1 Introduction Centralized authorities, such as governments, or decentralized ones, such as peers, use threats of punishment to enforce norms. However the authority, whether centralized or decentralized, achieves compliance only if it is able to commit to the punishment threat. Punishment is often costly, and hence an important determinant of the authority's success at enforcement is the amount of resources committed for punishment. -
California Institute of Technology Pasadena, California 91125
DIVISION OF THE HUMANITIES AND SOCIAL SCIENCES CALIFORNIA INSTITUTE OF TECHNOLOGY PASADENA, CALIFORNIA 91125 A BARGAINING MODEL OF LEGISLATIVE POLICY-MAKING Jeffrey S. Banks California Institute of Technology John Duggan University of Rochester I T U T E O T F S N T I E C A I H N N R O O 1891 L F O I L G A Y C SOCIAL SCIENCE WORKING PAPER 1162 May 2003 A Bargaining Model of Legislative Policy-making Jeffrey S. Banks John Duggan Abstract We present a general model of legislative bargaining in which the status quo is an arbitrary point in a multidimensional policy space. In contrast to other bargaining mod- els, the status quo is not assumed to be “bad,” and delay may be Pareto efficient. We prove existence of stationary equilibria. The possibility of equilibrium delay depends on four factors: risk aversion of the legislators, the dimensionality of the policy space, the voting rule, and the possibility of transfers across districts. If legislators are risk averse, if there is more than one policy dimension, and if voting is by majority rule, for example, then delay will almost never occur. In one dimension, delay is possible if and only if the status quo lies in the core of the voting rule, and then it is the only possible outcome. This “core selection” result yields a game-theoretic foundation for the well-known median voter theorem. Our comparative statics analysis yield two noteworthy insights: (i) if the status quo is close to the core, then equilibrium policy outcomes will also be close to the core (a moderate status quo produces moderate policy outcomes), and (ii) if legislators are patient, then equilibrium proposals will be close to the core (legislative patience leads to policy moderation). -
Policy Implications of Economic Complexity and Complexity Economics
Munich Personal RePEc Archive Policy Implications of Economic Complexity and Complexity Economics Elsner, Wolfram iino – Institute of Institutional and Innovation Economics, University of Bremen, Faculty of Business Studies and Economics 26 March 2015 Online at https://mpra.ub.uni-muenchen.de/68372/ MPRA Paper No. 68372, posted 15 Dec 2015 10:03 UTC Policy Implications of Economic Complexity. Towards a systemic, long-run, strong, adaptive, and interactive policy conception1 Wolfram Elsner2 Revised, December 11, 2015 Abstract: Complexity economics has developed into a promising cutting-edge research program for a more realistic economics in the last three or four decades. Also some convergent micro- and macro-foundations across heterodox schools have been attained with it. With some time lag, boosted by the financial crisis 2008ff., a surge to explore economic complexity’s (EC) policy implications emerged. It demonstrated flaws of “neoliberal” policy prescriptions mostly derived from the neoclassical mainstream and its relatively simple and teleological equilibrium models. However, most of the complexity-policy literature still remains rather general. Therefore, policy implications of EC are reinvestigated here. EC usually is specified by “Complex Adaptive (Economic) Systems” [CA(E)S], characterized by mechanisms, dynamic and statistical properties such as capacities of “self-organization” of their components (agents), structural “emergence”, and some statistical distributions in their topologies and movements. For agent-based systems, some underlying “intentionality” of agents, under bounded rationality, includes improving their benefits and reducing the perceived complexity of their decision situations, in an evolutionary process of a population. This includes emergent social institutions. Thus, EC has manifold affinities with long-standing issues of economic heterodoxies, such as uncertainty or path- dependent and idiosyncratic process. -
Efficient Algorithms for Computing Approximate Equilibria in Bimatrix
Efficient Algorithms for Computing Approximate Equilibria in Bimatrix, Polymatrix and Lipschitz Games Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Argyrios Deligkas July 2016 Abstract In this thesis, we study the problem of computing approximate equilibria in sev- eral classes of games. In particular, we study approximate Nash equilibria and approximate well-supported Nash equilibria in polymatrix and bimatrix games and approximate equilibria in Lipschitz games, penalty games and biased games. We construct algorithms for computing approximate equilibria that beat the cur- rent best algorithms for these problems. In Chapter 3, we present a distributed method to compute approximate Nash equilibria in bimatrix games. In contrast to previous approaches that analyze the two payoff matrices at the same time (for example, by solving a single LP that combines the two players' payoffs), our algorithm first solves two independent LPs, each of which is derived from one of the two payoff matrices, and then computes an approximate Nash equilibrium using only limited communication between the players. In Chapter 4, we present an algorithm that, for every δ in the range 0 < δ ≤ 0:5, finds a (0:5+δ)-Nash equilibrium of a polymatrix game in time polynomial in 1 the input size and δ . Note that our approximation guarantee does not depend on the number of players, a property that was not previously known to be achievable for polymatrix games, and still cannot be achieved for general strategic-form games. In Chapter 5, we present an approximation-preserving reduction from the problem of computing an approximate Bayesian Nash equilibrium (-BNE) for a two-player Bayesian game to the problem of computing an -NE of a polymatrix game and thus show that the algorithm of Chapter 4 can be applied to two-player Bayesian games. -
Direct Tests of Cumulative Prospect Theory⇤
Direct Tests of Cumulative Prospect Theory⇤ B. Douglas Bernheim † Charles Sprenger‡ Stanford University and NBER UC San Diego First Draft: December 1, 2014 This Version: November 8, 2016 Abstract Cumulative Prospect Theory (CPT), the leading behavioral account of decision making under uncertainty, assumes that the probability weight applied to a given outcome depends on its ranking. This assumption is needed to avoid the violations of dominance implied by Prospect Theory (PT). We devise a simple test involving three-outcome lotteries, based on the implication that compensating adjustments to the payo↵s in two states should depend on their rankings compared with payo↵s in a third state. In an experiment, we are unable to find any support for the assumption of rank dependence. We separately elicit probability weighting functions for the same subjects through conventional techniques involving binary lotteries. These functions imply that changes in payo↵rank should change the compensating adjustments in our three-outcome lotteries by 20-40%, yet we can rule out any change larger than 7% at standard confidence levels. Additional tests nevertheless indicate that the dominance patterns predicted by PT do not arise. We reconcile these findings by positing a form of complexity aversion that generalizes the well-known certainty e↵ect. JEL classification: D81, D90 Keywords:ProspectTheory,CumulativeProspectTheory,RankDependence,CertaintyEquiv- alents. ⇤We are grateful to Ted O’Donoghue, Colin Camerer, Nick Barberis, Kota Saito, and seminar participants at Cornell, Caltech, and Gary’s Conference (UC Santa Barbara) for helpful and thoughtful discussions. Fulya Ersoy, Vincent Leah-Martin, Seung-Keun Martinez, and Alex Kellogg all provided valuable research assistance. -
Judgment Under Uncertainty: Heuristics and Biases Author(S): Amos Tversky and Daniel Kahneman Source: Science, New Series, Vol
Judgment under Uncertainty: Heuristics and Biases Author(s): Amos Tversky and Daniel Kahneman Source: Science, New Series, Vol. 185, No. 4157, (Sep. 27, 1974), pp. 1124-1131 Published by: American Association for the Advancement of Science Stable URL: http://www.jstor.org/stable/1738360 Accessed: 15/04/2008 14:50 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://www.jstor.org/action/showPublisher?publisherCode=aaas. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit organization founded in 1995 to build trusted digital archives for scholarship. We enable the scholarly community to preserve their work and the materials they rely upon, and to build a common research platform that promotes the discovery and use of these resources. For more information about JSTOR, please contact [email protected]. http://www.jstor.org occupation from a list of possibilities (for example, farmer, salesman, airline pilot, librarian, or physician)? How do people order these occupations from most to least likely? In the representa- Judgment under Uncertainty: tiveness heuristic, the probability that Steve is a librarian, for example, is Heuristics and Biases assessed by the degree to which he is representative of, or similar to, the stereotype of a librarian. -
THE HUMAN SIDE of MECHANISM DESIGN a Tribute to Leo Hurwicz and Jean-Jacque Laffont
THE HUMAN SIDE OF MECHANISM DESIGN A Tribute to Leo Hurwicz and Jean-Jacque Laffont Daniel McFadden Department of Economics University of California, Berkeley December 4, 2008 [email protected] http://www.econ.berkeley.edu/~mcfadden/index.shtml ABSTRACT This paper considers the human side of mechanism design, the behavior of economic agents in gathering and processing information and responding to incentives. I first give an overview of the subject of mechanism design, and then examine a pervasive premise in this field that economic agents are rational in their information processing and decisions. Examples from applied mechanism design identify the roles of perceptions and inference in agent behavior, and the influence of systematic irrationalities and sociality on agent responses. These examples suggest that tolerance of behavioral faults be added to the criteria for good mechanism design. In principle-agent problems for example, designers should consider using experimental treatments in contracts, and statistical post-processing of agent responses, to identify and mitigate the effects of agent non-compliance with contract incentives. KEYWORDS: mechanism_design, principal-agent_problem, juries, welfare_theory JEL CLASSIFICATION: D000, D600, D610, D710, D800, C420, C700 THE HUMAN SIDE OF MECHANISM DESIGN A Tribute to Leo Hurwicz and Jean-Jacque Laffont Daniel McFadden1 1. Introduction The study of mechanism design, the systematic analysis of resource allocation institutions and processes, has been the most fundamental development -
Table of Contents (PDF)
Supplement to July 22, 2014 u vol. 111 u suppl. 3 u 10781–10896 Cover image: Pictured is a tapestry from Quito, Ecuador, depicting four women in a market- place. People engaged in cooperative or competitive interactions, such as in a marketplace, are the subject of game theory studies, which provide an important approach to evolutionary thinking in economics and other social sciences. See the introduction to the In the Light of Evolution VIII: Darwinian Thinking in the Social Sciences Sackler Colloquium by Skyrms et al. on pages 10781–10784. Image courtesy of John C. Avise. Supplement to the Proceedings of the National Academy of Sciences of the United States of America, which includes articles from the Arthur M. Sackler Colloquium of the National Academy of Sciences In the Light of Evolution VIII: Darwinian Thinking in the Social Sciences. The complete program and audio files of most presentations are available on the NAS website at www.nasonline.org/ILE-Darwinian-Thinking. 10826 Recency, consistent learning, and Nash equilibrium Contents Drew Fudenberg and David K. Levine 10830 Complexity in models of cultural niche construction with INTRODUCTION selection and homophily Nicole Creanza and Marcus W. Feldman 10838 10781 In the light of evolution VIII: Darwinian thinking in the Public goods in relation to competition, cooperation, social sciences and spite Brian Skyrms, John C. Avise, and Francisco J. Ayala Simon A. Levin 10846 Evolutionary shaping of demographic schedules Kenneth W. Wachter, David Steinsaltz, and Steven N. Evans COLLOQUIUM PAPERS 10854 Policy folklists and evolutionary theory Barry O’Neill 10785 Bargaining and fairness 10860 On the evolution of hoarding, risk-taking, and wealth Kenneth Binmore distribution in nonhuman and human populations 10789 Spatial interactions and cooperation can change the Theodore C. -
Behavioral Economics in Context Applications for Development, Inequality & Discrimination, Finance, and Environment
Behavioral Economics In Context Applications for Development, Inequality & Discrimination, Finance, and Environment By Anastasia C. Wilson An ECI Teaching Module on Social and Environmental Issues in Economics Global Development Policy Center Boston University 53 Bay State Road Boston, MA 02155 bu.edu/gdp Economics in Context Initiative, Global Development Policy Center, Boston University, 2020. Permission is hereby granted for instructors to copy this module for instructional purposes. Suggested citation: Wilson, Anastasia C. (2020) “Behavioral Economics In Context: Applications for Development, Inequality & Discrimination, Finance, and Environment.” An ECI Teaching Module on Social and Economic Issues, Economics in Context Initiative, Global Development Policy Center, Boston University, 2020. Students may also download the module directly from: http://www.bu.edu/eci/education-materials/teaching-modules/ Comments and feedback from course use are welcomed: Economics in Context Initiative Global Development Policy Center Boston University 53 Bay State Road Boston, MA 02215 http://www.bu.edu/eci/ Email: [email protected] NOTE – terms denoted in bold face are defined in the KEY TERMS AND CONCEPTS section at the end of the module. BEHAVIORAL ECONOMICS IN CONTEXT TABLE OF CONTENTS 1. INTRODUCTION ........................................................................................................ 4 1.1 The History and Development of Behavioral Economics .......................................................... 5 1.2 Behavioral Economics Toolkit: -
Zbwleibniz-Informationszentrum
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Svorenécík, Andrej Working Paper The Sidney Siegel tradition: The divergence of behavioral and experimental economics at the end of the 1980s CHOPE Working Paper, No. 2016-20 Provided in Cooperation with: Center for the History of Political Economy at Duke University Suggested Citation: Svorenécík, Andrej (2016) : The Sidney Siegel tradition: The divergence of behavioral and experimental economics at the end of the 1980s, CHOPE Working Paper, No. 2016-20, Duke University, Center for the History of Political Economy (CHOPE), Durham, NC This Version is available at: http://hdl.handle.net/10419/155449 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. www.econstor.eu The Sidney Siegel Tradition: The Divergence of Behavioral and Experimental Economics at the End of the 1980s by Andrej Svorenčík CHOPE Working Paper No. -
Bounded Rationality: Models of Fast and Frugal Inference
Published in: Swiss Journal of Economics and Statistics, 133 (2/2), 1997, 201–218. © 1997 Peter Lang, 0303-9692. Bounded Rationality: Models of Fast and Frugal Inference Gerd Gigerenzer1 Max Planck Institute for Psychological Research, Munich, Germany Humans and other animals need to make inferences about their environment under constraints of limited time, knowledge, and computational capacities. However, most theories of inductive infer- ences model the human mind as a supercomputer like a Laplacean demon, equipped with unlim- ited time, knowledge, and computational capacities. In this article I review models of fast and frugal inference, that is, satisfi cing strategies whose task is to infer unknown states of the world (without relying on computationaly expensive procedures such as multiple regression). Fast and frugal inference is a form of bounded rationality (Simon, 1982). I begin by explaining what bounded rationality in human inference is not. 1. Bounded Rationality is Not Irrationality In his chapter in John Kagel and Alvin Roth’s Handbook of Experimental Economics (1995), Colin Camerer explains that “most research on individual decision making has taken normative theo- ries of judgment and choice (typically probability rules and utility theories) as null hypotheses about behavior,” and has labeled systematic deviations from these norms “cognitive illusions” (p. 588). Camerer continues, “The most fruitful, popular alternative theories spring from the idea that limits on computational ability force people to use simplifi ed procedures or ‘heuristics’ that cause systematic mistakes (biases) in problem solving, judgment, and choice. The roots of this approach are in Simon’s (1955) distinction between substantive rationality (the result of norma- tive maximizing models) and procedural rationality.” (p.