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When Does Behavioural Economics Really Matter?
When does behavioural economics really matter? Ian McAuley, University of Canberra and Centre for Policy Development (www.cpd.org.au) Paper to accompany presentation to Behavioural Economics stream at Australian Economic Forum, August 2010. Summary Behavioural economics integrates the formal study of psychology, including social psychology, into economics. Its empirical base helps policy makers in understanding how economic actors behave in response to incentives in market transactions and in response to policy interventions. This paper commences with a short description of how behavioural economics fits into the general discipline of economics. The next section outlines the development of behavioural economics, including its development from considerations of individual psychology into the fields of neurology, social psychology and anthropology. It covers developments in general terms; there are excellent and by now well-known detailed descriptions of the specific findings of behavioural economics. The final section examines seven contemporary public policy issues with suggestions on how behavioural economics may help develop sound policy. In some cases Australian policy advisers are already using the findings of behavioural economics to advantage. It matters most of the time In public policy there is nothing novel about behavioural economics, but for a long time it has tended to be ignored in formal texts. Like Molière’s Monsieur Jourdain who was surprised to find he had been speaking prose all his life, economists have long been guided by implicit knowledge of behavioural economics, particularly in macroeconomics. Keynes, for example, understood perfectly the “money illusion” – people’s tendency to think of money in nominal rather than real terms – in his solution to unemployment. -
Who Are the Behavioral Economists and What Do They Say?
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Heukelom, Floris Working Paper Who are the Behavioral Economists and what do they say? Tinbergen Institute Discussion Paper, No. 07-020/1 Provided in Cooperation with: Tinbergen Institute, Amsterdam and Rotterdam Suggested Citation: Heukelom, Floris (2007) : Who are the Behavioral Economists and what do they say?, Tinbergen Institute Discussion Paper, No. 07-020/1, Tinbergen Institute, Amsterdam and Rotterdam This Version is available at: http://hdl.handle.net/10419/86489 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 TI 2007-020/1 Tinbergen Institute Discussion Paper Who are the Behavioral Economists and what do they say? Floris Heukelom University of Amsterdam, and Tinbergen Institute. -
Daniel Kahneman Curriculum Vitae August 2016
Daniel Kahneman Curriculum Vitae August 2016 Born: 1934, Tel Aviv, Israel Citizenship: US, Israel Education Ph.D. University of California, Berkeley, 1961 (Psychology) B.A. The Hebrew University, Jerusalem, 1954, (Psychology and Mathematics) Professional Positions Held 2007- Professor of Psychology and Public Affairs, Emeritus, Woodrow Wilson School, Princeton University 2007- Eugene Higgins Professor of Psychology, Emeritus, Princeton University 2000- Fellow, Center for Rationality, Hebrew University, Jerusalem 1993-2007 Eugene Higgins Professor of Psychology, Princeton University 1993-2007 Professor of Psychology and Public Affairs, Woodrow Wilson School, Princeton University 1991-1992 Visiting Scholar, Russell Sage Foundation 1986-1994 Professor of Psychology, University of California, Berkeley 1984-1986 Associate Fellow, Canadian Institute for Advanced Research 1978-1986 Professor of Psychology, The University of British Columbia 1977-1978 Fellow, Center for Advanced Studies in the Behavioral Sciences 1968-1969 Visiting Scientist (summers), Applied Psychological Research Unit, Cambridge, England 1966-1967 Fellow, Center for Cognitive Studies; Lecturer in Psychology, Harvard University 1965-1966 Visiting Scientist, Department of Psychology, University of Michigan 1961-1978 Lecturer to Professor, The Hebrew University, Jerusalem, Israel LINKS TO RECENT LECTURES Video and Audio Links “Interview with Leif Nelson,” The Society for Judgment and Decision Making, November 2015. “Thinking That We Know”, Sackler Colloquium to the National Academy -
511795 Chicago LR 73#3.Ps
Judges as Rulemakers Emily Sherwin† In Do Cases Make Bad Law?, Frederick Schauer raises some se- rious questions about the process of judicial lawmaking.1 Schauer takes issue with the widely held assumption that judge-made law benefits from the court’s focus on a particular real-world dispute.2 Writing with characteristic eloquence, Schauer argues that the need to resolve a concrete dispute does not enhance the ability of judges to craft sound rules, but instead generates cognitive biases that distort judicial development of legal rules. Schauer’s observations about the risks of rulemaking in an adju- dicatory setting are very persuasive. Yet his overall assessment of the common law process may be too severe. In this Essay, I shall suggest that common law decisionmaking, at least in its more traditional forms, has features that can counteract the biases that worry Schauer and provide at least some protection from the errors his theory pre- dicts. Specifically, the common judicial practices of consulting prece- dent decisions and seeking analogies in the facts of prior cases broaden the perspective of judges and allow them to better assess the consequences of proposed rules. This is so even if following precedent and reasoning by analogy are not otherwise defensible. I. SCHAUER’S CASE AGAINST COMMON LAW RULEMAKING Schauer begins with the premise that judges do in fact make law.3 Prior to the twentieth century, jurists often characterized their task as discovery of rules embedded in legal tradition and common practice.4 †Professor of Law, Cornell Law School. 1 See generally Frederick Schauer, Do Cases Make Bad Law?, 73 U Chi L Rev 883 (2006). -
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. -
Relation Exchange As the Model of Bounded Rationality
Relation exchange as the model of bounded rationality June 16, 2017 Sung Sup Rhee Emeritus professor at Soongsil University [email protected] This paper is a preliminary version which is prepared for the presentation at 2017 KEA- APEA conference, July 7-8, 2017. Title: Relation exchange as the model of bounded rationality Author: Sung Sup Rhee/Emeritus professor at Soongsil University/[email protected] Abstracts: Kahneman (2003) presented the scheme of human cognitive system, which presents the steps of sensory order. Human cognition begins with perceptions, from which intuition comes off as fast, parallel, automatic, effortless and emotional system. Reasoning is slow, serial, controlled, effortful and rule-governed system of cognition. The architecture of rational agent model is built on the unrealistic assumption of single cognitive system which has the logical ability of a flawless system of reasoning. However, upon encountering the need to make decision, individuals are likely to act intuitively because intuition is more accessible than reason, which is at odds with the premise of rational agent model and prompts the launching of empiricism approach (Hume 1739). The process of sympathy and consent may be considered as the conduit between different cognitive systems of different individuals. Then, the relational interactions among individuals, i.e. relation exchange should be conceived as the outcome of sympathy-consent process (Rhee 2012b, 2016b). The fundamentality of relation exchange in comparison with value exchange vindicates the legitimacy of relation exchange as the model of bounded rationality. Keywords Cognitive system, accessibility, sympathy-consent process, relation exchange, open/indeterminate system, bounded rationality JEL code: D01, D03 I. -
Institutional Analysis and Design
Political Science 527 Rick Wilson Fall 2015 Herzstein 118 Wednesday 1 pm 713.348.3352 Institutional Analysis and Design This course is an introduction to Institutional Analysis and DesiGn. The study of political institutions has been the bread and butter of political science since Aristotle. This course moves past classical institutionalism and treats contemporary ways of analyzinG individual behavior in institutions. Try to keep an open mind. In the course you will be readinG material Gathered from a number of different disciplines. You will be introduced to a number of ways of thinkinG about the role of institutions for constraining behavior as well as encouraging behavior. Course Requirements: The course will be run as a seminar. A seminar means that you will be treated as a "junior colleague." Everyone is expected to contribute to discussion. As a consequence, completinG the readinG prior to each class meetinG is mandatory. This will enable you to ask questions of material that is unclear (and some of it will be) and to force the members of the seminar (includinG the instructor) to keep on the ball. The readinGs are noted below. At the end of the syllabus are additional (supplemental) readinGs that miGht be of interest. These are arranGed by week. To help you think carefully about the material, I am requirinG that you write, each week from Sept. 2 through Dec. 2, a 2-3 paGe memorandum coverinG one of the readinGs. The memorandum should do 4 thinGs. First, it should outline the main point to the book/article. Second, it should indicate how this book/article fits with the others that were assigned for this week. -
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 -
Doing the Right Thing: Business Ethics, Moral Indeterminancy & Existentialism
DOING THE RIGHT THING: BUSINESS ETHICS, MORAL INDETERMINANCY & EXISTENTIALISM Charles Sherwood London School of Economics Tutor: Susanne Burri Winner: Postgraduate Category Institute of Business Ethics Student Essay Competition 2017 Introduction Business ethics is a subject of growing interest to academics and practitioners alike. But can moral theory really guide business decision-making? And, can it do so when it matters? i.e. when those decisions get difficult. Difficult managerial decisions have many characteristics. They are important, often hurried, sometimes contentious. But, perhaps above all, they are ambiguous. We are unsure what is the right choice. Imagine the following… Arlette, an executive in a foreign-aid charity, needs to get vital supplies across a frontier to refugee families with children nearing starvation. Her agent on the ground is asked by border guards for a $5,000 bribe, some of which they will pocket personally and the rest of which will help fund a terror campaign. False, dishonest and illegal accounting will be required to disguise the use of the funds from donors and regulators. Arlette is coming up for promotion. She tries to explain the problem to her superior. He is impatient and just tells her to get the job done. Should Arlette allow the agent to pay the bribe? Moral theories struggle to resolve this kind of ambiguity, because they prove indeterminate in one of two ways: either they advocate a single, ‘monolithic’ principle that is all but impossible to apply in complex situations like the above; or they offer an array of principles that individually are more easily applied, yet conflict with each other. -
Economics, History, and Causation
Randall Morck and Bernard Yeung Economics, History, and Causation Economics and history both strive to understand causation: economics by using instrumental variables econometrics, and history by weighing the plausibility of alternative narratives. Instrumental variables can lose value with repeated use be- cause of an econometric tragedy of the commons: each suc- cessful use of an instrument creates an additional latent vari- able problem for all other uses of that instrument. Economists should therefore consider historians’ approach to inferring causality from detailed context, the plausibility of alternative narratives, external consistency, and recognition that free will makes human decisions intrinsically exogenous. conomics and history have not always got on. Edward Lazear’s ad- E vice that all social scientists adopt economists’ toolkit evoked a certain skepticism, for mainstream economics repeatedly misses major events, notably stock market crashes, and rhetoric can be mathemati- cal as easily as verbal.1 Written by winners, biased by implicit assump- tions, and innately subjective, history can also be debunked.2 Fortunately, each is learning to appreciate the other. Business historians increas- ingly use tools from mainstream economic theory, and economists dis- play increasing respect for the methods of mainstream historians.3 Each Partial funding from the Social Sciences and Humanities Research Council of Canada is gratefully acknowledged by Randall Morck. 1 Edward Lazear, “Economic Imperialism,” Quarterly Journal of Economics 116, no. 1 (Feb. 2000): 99–146; Irving Fischer, “Statistics in the Service of Economics,” Journal of the American Statistical Association 28, no. 181 (Mar. 1933): 1–13; Deirdre N. McCloskey, The Rhetoric of Economics (Madison, Wisc., 1985).