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Game Theory 2: Extensive-Form Games and Subgame Perfection
Game Theory 2: Extensive-Form Games and Subgame Perfection 1 / 26 Dynamics in Games How should we think of strategic interactions that occur in sequence? Who moves when? And what can they do at different points in time? How do people react to different histories? 2 / 26 Modeling Games with Dynamics Players Player function I Who moves when Terminal histories I Possible paths through the game Preferences over terminal histories 3 / 26 Strategies A strategy is a complete contingent plan Player i's strategy specifies her action choice at each point at which she could be called on to make a choice 4 / 26 An Example: International Crises Two countries (A and B) are competing over a piece of land that B occupies Country A decides whether to make a demand If Country A makes a demand, B can either acquiesce or fight a war If A does not make a demand, B keeps land (game ends) A's best outcome is Demand followed by Acquiesce, worst outcome is Demand and War B's best outcome is No Demand and worst outcome is Demand and War 5 / 26 An Example: International Crises A can choose: Demand (D) or No Demand (ND) B can choose: Fight a war (W ) or Acquiesce (A) Preferences uA(D; A) = 3 > uA(ND; A) = uA(ND; W ) = 2 > uA(D; W ) = 1 uB(ND; A) = uB(ND; W ) = 3 > uB(D; A) = 2 > uB(D; W ) = 1 How can we represent this scenario as a game (in strategic form)? 6 / 26 International Crisis Game: NE Country B WA D 1; 1 3X; 2X Country A ND 2X; 3X 2; 3X I Is there something funny here? I Is there something funny here? I Specifically, (ND; W )? I Is there something funny here? -
Econ 771.001
ECON 771: Political Economy of Race and Gender Spring 2018 Dr. Elissa Braunstein Department of Economics, Colorado State University [email protected] Office: C327 Clark Office hours: T 1:00 – 2:00 (or by appointment) Overview I define political economy as “the study of the impact of group identity and collective conflict on the organization of economic activity and its consequences.” Political economy traditions tend to focus on class as a source of identity and group conflict. In this course, we will expand that focus to incorporate other sources of group membership, giving you a broad background in economic approaches to inequality and identity based on race/ethnicity and gender. We will focus primarily on the neoclassical, Marxian political economy and feminist literatures. In addition to learning more about the relationship between group membership and economic structures, we will use the prisms of race and gender to better understand and critique various approaches to economic analysis. And while much of the literature focuses on the U.S. context, I will try to broaden the discussion as often as possible, and encourage students to do the same. I welcome students from other social science disciplines. Although we will cover some advanced material that may be difficult for those who have not completed graduate economics courses, the emphasis will be on the main points, rather than the technical detail. The syllabus includes both required readings (*starred) and supplemental readings/sections as I wanted to give you a more complete sense of the literature if you are interested in looking further into a particular topic. -
Algorithms and Collusion - Background Note by the Secretariat
Unclassified DAF/COMP(2017)4 Organisation for Economic Co-operation and Development 9 June 2017 English - Or. English DIRECTORATE FOR FINANCIAL AND ENTERPRISE AFFAIRS COMPETITION COMMITTEE Cancels & replaces the same document of 17 May 2017. Algorithms and Collusion - Background Note by the Secretariat 21-23 June 2017 This document was prepared by the OECD Secretariat to serve as a background note for Item 10 at the 127th Meeting of the Competition Committee on 21-23 June 2017. The opinions expressed and arguments employed herein do not necessarily reflect the official views of the Organisation or of the governments of its member countries. More documentation related to this discussion can be found at http://www.oecd.org/daf/competition/algorithms-and-collusion.htm Please contact Mr. Antonio Capobianco if you have any questions about this document [E-mail: [email protected]] JT03415748 This document, as well as any data and map included herein, are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. 2 │ DAF/COMP(2017)4 Algorithms and Collusion Background note by the Secretariat Abstract The combination of big data with technologically advanced tools, such as pricing algorithms, is increasingly diffused in today everyone’s life, and it is changing the competitive landscape in which many companies operate and the way in which they make commercial and strategic decisions. While the size of this phenomenon is to a large extent unknown, there are a growing number of firms using computer algorithms to improve their pricing models, customise services and predict market trends. -
Gender Differences in Responsiveness to a Homo Economicus Prime in the Gift-Exchange Game
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Mertins, Vanessa; Warning, Susanne Working Paper Gender differences in responsiveness to a homo economicus prime in the gift-exchange game IAAEU Discussion Paper Series in Economics, No. 09/2013 Provided in Cooperation with: Institute for Labor Law and Relations in the European Union (IAAEU), University of Trier Suggested Citation: Mertins, Vanessa; Warning, Susanne (2013) : Gender differences in responsiveness to a homo economicus prime in the gift-exchange game, IAAEU Discussion Paper Series in Economics, No. 09/2013, University of Trier, Institute for Labour Law and Industrial Relations in the European Union (IAAEU), Trier This Version is available at: http://hdl.handle.net/10419/80863 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. -
Prof. Dr. Armin Falk Biographical Sketch 1998 Phd, University Of
Prof. Dr. Armin Falk Biographical Sketch 1998 PhD, University of Zurich 1998 - 2003 Assistant professor, University of Zurich 2003 - 2005 Lecturer, Central European University (Budapest) 2003 - today Research Director, Institute for the Study of Labor (IZA) 2003 - today Professor of Economics, University of Bonn Affiliations with CESifo, CEPR Research Interests Labor Economics, Behavioral and experimental economics Selected Journal Publications “Fairness Perceptions and Reservation Wages - The Behavioral Effects of Minimum Wage Laws” (with Ernst Fehr and Christian Zehnder), Quarterly Journal of Economic, forthcoming. “Distrust - The Hidden Cost of Control” (with Michael Kosfeld), American Economic Review, forthcoming. “Clean Evidence on Peer Effects” (with Andrea Ichino), Journal of Labor Economics, forthcoming. “A Theory of Reciprocity” (with Urs Fischbacher), Games and Economic Behavior 54 (2), 2006, 293-315. “Driving Forces Behind Informal Sanctions” (with Ernst Fehr and Urs Fischbacher), Econometrica 73 (6), 2005, 2017-2030. “The Success of Job Applications: A New Approach to Program Evaluation” (with Rafael Lalive and Josef Zweimüller), Labour Economics 12 (6), 2005, 739-748. “Choosing the Joneses: Endogenous Goals and Reference Standards” (with Markus Knell), Scandinavian Journal of Economics 106 (3), 2004, 417-435. “Relational Contracts and the Nature of Market Interactions” (with Martin Brown and Ernst Fehr), Econometrica 72, 2004, 747-780. “On the Nature of Fair Behavior” (with Ernst Fehr and Urs Fischbacher), Economic Inquiry 41(1), 2003, 20-26. “Reasons for Conflict - Lessons From Bargaining Experiments” (with Ernst Fehr and Urs Fischbacher), Journal of Institutional and Theoretical Economics 159 (1), 2003, 171-187. “Why Labour Market Experiments?” (with Ernst Fehr), Labour Economics 10, 2003, 399-406. -
Armin Falk IZA and University of Bonn April 2004
I. Introduction Armin Falk IZA and University of Bonn April 2004 Falk: Behavioral Labor Economics: Psychology of Incentives 1/18 This course • Study behavioral effects for labor related outcomes • Empirical studies •Overview – Introduction – Psychology of incentives • Reciprocity and contract enforcement • Dysfunctional effects of explicit incentives • Peer effects • Loss aversion, collusion and sabotage in the presence of tournament incentives – Labor supply – Market behavior • Monopsony and minimum wages • Fairness, efficiency wages and wage rigidities • Incomplete contracts, fairness and the functioning of markets Falk: Behavioral Labor Economics: Psychology of Incentives 2/18 Requirements 1. Take part in the lecture 2. Write a short paper • Either about a summary and discussion of 3 papers • List of topics and papers will be provided • Papers, which are not discussed in this course • Or about a labor economics experiment, which you design, conduct and analyze • Motivation, design, results, discussion • Few observations sufficient • Can also be a field experiment, a theoretical model or the analysis of an existing data set • You can see me and David Huffman to discuss your suggestions Falk: Behavioral Labor Economics: Psychology of Incentives 3/18 Information • Slides can be downloaded – www.iza.org/home/falk • Readers available at IZA Falk: Behavioral Labor Economics: Psychology of Incentives 4/18 Behavioral Economics: From the Nobel Prize laudation “Traditionally, economic theory has relied on the assumption of a "homo œconomicus", whose behavior is governed by self-interest and who is capable of rational decision-making. Economics has also been regarded as a non-experimental science, where researchers – as in astronomy or meteorology – have had to rely exclusively on field data, that is, direct observations of the real world. -
The Three Types of Collusion: Fixing Prices, Rivals, and Rules Robert H
University of Baltimore Law ScholarWorks@University of Baltimore School of Law All Faculty Scholarship Faculty Scholarship 2000 The Three Types of Collusion: Fixing Prices, Rivals, and Rules Robert H. Lande University of Baltimore School of Law, [email protected] Howard P. Marvel Ohio State University, [email protected] Follow this and additional works at: http://scholarworks.law.ubalt.edu/all_fac Part of the Antitrust and Trade Regulation Commons, and the Law and Economics Commons Recommended Citation The Three Types of Collusion: Fixing Prices, Rivals, and Rules, 2000 Wis. L. Rev. 941 (2000) This Article is brought to you for free and open access by the Faculty Scholarship at ScholarWorks@University of Baltimore School of Law. It has been accepted for inclusion in All Faculty Scholarship by an authorized administrator of ScholarWorks@University of Baltimore School of Law. For more information, please contact [email protected]. ARTICLES THE THREE TYPES OF COLLUSION: FIXING PRICES, RIVALS, AND RULES ROBERTH. LANDE * & HOWARDP. MARVEL** Antitrust law has long held collusion to be paramount among the offenses that it is charged with prohibiting. The reason for this prohibition is simple----collusion typically leads to monopoly-like outcomes, including monopoly profits that are shared by the colluding parties. Most collusion cases can be classified into two established general categories.) Classic, or "Type I" collusion involves collective action to raise price directly? Firms can also collude to disadvantage rivals in a manner that causes the rivals' output to diminish or causes their behavior to become chastened. This "Type 11" collusion in turn allows the colluding firms to raise prices.3 Many important collusion cases, however, do not fit into either of these categories. -
The Social Side of Homo Economicus
TREE-1308; No. of Pages 3 Update Forum The social side of Homo economicus Daniel J. Rankin1,2 1 Department of Biochemistry, University of Zu¨ rich, Building Y27, Winterthurerstrasse 190, CH-8057 Zu¨ rich, Switzerland 2 Swiss Institute of Bioinformatics, Quartier Sorge Baˆ timent Ge´ nopode, CH-1015 Lausanne, Switzerland Many recent experiments in the field of behavioural cooperatively than traditional economic theory would pre- economics appear to demonstrate a willingness of dict [1,11]. humans to behave altruistically, even when it is not in their interest to do so. This has led to the assertion that Are humans especially cooperative? humans have evolved a special predisposition towards Cooperation in public goods games is unstable and most altruism. Recent studies have questioned this, and dem- players quickly realise that not contributing maximises onstrated that selfless cooperation does not hold up in their profit (see Figure 1 for an explanation of public controlled experiments. As I discuss here, this calls for goods games). Despite this, the public goods game fre- more economic ‘field experiments’ and highlights the quently results in higher levels of contribution than one need for greater integration of the evolutionary and would expect if individuals were selfishly rational and economic sciences. 10% of participants contribute in the long run [1,12]. This has led to the conclusion that humans have a special Kto nekradne, okra´da svoju rodinu degree of cooperation, or ‘other regarding preferences’, (He who does not steal, steals from his family) that cannot be explained from a purely selfish perspec- Slovak Saying tive and that has been used as evidence that humans behave more cooperatively than theory would predict The apparent puzzle of human cooperation [1,12]. -
Correlated Equilibria and Communication in Games Françoise Forges
Correlated equilibria and communication in games Françoise Forges To cite this version: Françoise Forges. Correlated equilibria and communication in games. Computational Complex- ity. Theory, Techniques, and Applications, pp.295-704, 2012, 10.1007/978-1-4614-1800-9_45. hal- 01519895 HAL Id: hal-01519895 https://hal.archives-ouvertes.fr/hal-01519895 Submitted on 9 May 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Correlated Equilibrium and Communication in Games Françoise Forges, CEREMADE, Université Paris-Dauphine Article Outline Glossary I. De…nition of the Subject and its Importance II. Introduction III. Correlated Equilibrium: De…nition and Basic Properties IV. Correlated Equilibrium and Communication V. Correlated Equilibrium in Bayesian Games VI. Related Topics and Future Directions VII. Bibliography Acknowledgements The author wishes to thank Elchanan Ben-Porath, Frédéric Koessler, R. Vijay Krishna, Ehud Lehrer, Bob Nau, Indra Ray, Jérôme Renault, Eilon Solan, Sylvain Sorin, Bernhard von Stengel, Tristan Tomala, Amparo Ur- bano, Yannick Viossat and, especially, Olivier Gossner and Péter Vida, for useful comments and suggestions. Glossary Bayesian game: an interactive decision problem consisting of a set of n players, a set of types for every player, a probability distribution which ac- counts for the players’ beliefs over each others’ types, a set of actions for every player and a von Neumann-Morgenstern utility function de…ned over n-tuples of types and actions for every player. -
Patience and Comparative Development*
Patience and Comparative Development* Thomas Dohmen Benjamin Enke Armin Falk David Huffman Uwe Sunde May 29, 2018 Abstract This paper studies the role of heterogeneity in patience for comparative devel- opment. The empirical analysis is based on a simple OLG model in which patience drives the accumulation of physical capital, human capital, productivity improve- ments, and hence income. Based on a globally representative dataset on patience in 76 countries, we study the implications of the model through a combination of reduced-form estimations and simulations. In the data, patience is strongly corre- lated with income levels, income growth, and the accumulation of physical capital, human capital, and productivity. These relationships hold across countries, sub- national regions, and individuals. In the reduced-form analyses, the quantitative magnitude of the relationship between patience and income strongly increases in the level of aggregation. A simple parameterized version of the model generates comparable aggregation effects as a result of production complementarities and equilibrium effects, and illustrates that variation in preference endowments can account for a considerable part of the observed variation in per capita income. JEL classification: D03, D90, O10, O30, O40. Keywords: Patience; comparative development; factor accumulation. *Armin Falk acknowledges financial support from the European Research Council through ERC # 209214. Dohmen, Falk: University of Bonn, Department of Economics; [email protected], [email protected]. Enke: Harvard University, Department of Economics; [email protected]. Huffman: University of Pittsburgh, Department of Economics; huff[email protected]. Sunde: University of Munich, Department of Economics; [email protected]. 1 Introduction A long stream of research in development accounting has documented that both pro- duction factors and productivity play an important role in explaining cross-country income differences (Hall and Jones, 1999; Caselli, 2005; Hsieh and Klenow, 2010). -
Analyzing Just-In-Time Purchasing Strategy in Supply Chains Using an Evolutionary Game Approach
Bulletin of the JSME Vol.14, No.5, 2020 Journal of Advanced Mechanical Design, Systems, and Manufacturing Analyzing just-in-time purchasing strategy in supply chains using an evolutionary game approach Ziang LIU* and Tatsushi NISHI** *Graduate School of Engineering Science, Osaka University 1-3 Machikaneyama-Cho, Toyonaka City, Osaka 560-8531, Japan E-mail: [email protected] **Graduate School of Natural Science and Technology, Okayama University 3-1-1 Tsushima-naka, Kita-ku, Okayama City, Okayama 700-8530, Japan Received: 18 December 2019; Revised: 30 March 2020; Accepted: 9 April 2020 Abstract Many researchers have focused on the comparison between the JIT model and the EOQ model. However, few of them studied this problem from an evolutionary perspective. In this paper, a JIT purchasing with the single- setup-multi-delivery model is introduced to compare the total costs of the JIT model and the EOQ model. Also, we extend the classical JIT-EOQ models to a two-echelon supply chain which consists of one manufacturer and one supplier. Considering the bounded rationality of players and the quickly changing market, an evolutionary game model is proposed to discuss how these factors impact the strategy selection of the companies. And the evolutionarily stable strategy of the proposed model is analyzed. Based on the analysis, we derive the conditions when the supply chain system will choose the JIT strategy and propose a contract method to ensure that the system converges to the JIT strategy. Several numerical experiments are provided to observe the JIT and EOQ purchasing strategy selection of the manufacturer and the supplier. -
Kahneman's Thinking, Fast and Slow from the Standpoint of Old
Kahneman’s Thinking, Fast and Slow from the Standpoint of Old Behavioural Economics (For the 2012 HETSA Conference) Peter E. Earl School of Economics, University of Queensland, St Lucia, Brisbane, QLD 4072, Australia, email: [email protected] Abstract Daniel Kahneman’s bestseller Thinking, Fast and Slow presents an account of his life’s work on judgment and decision-making (much of it conducted with Amos Tversky) that has been instrumental in the rise of what Sent (2004) calls ‘new behavioural economics’. This paper examines the relationship between Kahneman’s work and some key contributions within the ‘old behavioural’ literature that Kahneman fails to discuss. It show how closely aligned he is to economic orthodoxy, examining his selective use of Herbert Simon’s work in relation to his ‘two systems’ view of decision making and showing how Shackle’s model of choice under uncertainty provided an alternative way of dealing with some of the issues that Kahneman and Tversky sought to address, three decades after Shackle worked out his model, via their Prospect Theory. Aside from not including ‘loss aversion’, it was Shackle’s model that was the more original and philosophically well-founded. Keywords: Prospect Theory, satisficing, bounded rationality, choice under uncertainty JEL Classification Codes: B31, D03, D81 1. Introduction In his highly successful 2011 book Thinking, Fast and Slow Daniel Kahneman offers an excellent account of his career-long research on judgment and decision- making, much of it conducted with the late Amos Tversky. Kahneman was awarded the 2002 Bank of Sweden PriZe in Economic Sciences in Memory of Alfred Nobel for this work.