75 research outputs found

    Five Indefinitely Repeated Games in the Laboratory

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    I experimentally test play in five indefinitely repeated games: a hawk-dove game, a game of chicken, a trust game, a coordination game, and a constant-sum game. I compare the different game histories that affect decision making in each of the games. Une Ă©tude expĂ©rimentale a Ă©tĂ© menĂ©e afin de tester les dĂ©cisions prises lors de cinq jeux rĂ©pĂ©tĂ©s oĂč le nombre de rĂ©pĂ©titions est inconnu : un jeu de type hawk-dove, un jeu de type chicken, un jeu de confiance, un jeu de coordination et un jeu Ă  somme constante. Les historiques des diffĂ©rents jeux sont comparĂ©s afin d’analyser les prises de dĂ©cisions des participants dans chaque jeu.experimental economics, repeated games, Ă©conomie expĂ©rimentale, jeux rĂ©pĂ©tĂ©s

    Learning-by-Doing in an Ambiguous Environment

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    We experimentally test whether risk aversion or ambiguity aversion can explain decisions in a learning-by-doing game. We first measure subjects' preferences toward risk and ambiguity, and then use these measures to predict behavior in the game. We find that ambiguity averse subjects pay more often to resolve ambiguity, and we find that less risk averse subjects earn more in the game. Our results, in light of a previous field study of farmers in a developing economy, provide further evidence of a link between ambiguity aversion and technology choice, as well as a link between risk aversion and farm profitability. Une Ă©tude expĂ©rimentale a Ă©tĂ© menĂ©e afin de tester si l’aversion au risque ou l’aversion Ă  l’ambiguĂŻtĂ© peuvent expliquer les dĂ©cisions prises par les sujets lors d’un jeu d’apprentissage par essais. Nous avons d’abord mesurĂ© la prĂ©fĂ©rence des sujets face au risque et Ă  l’ambiguĂŻtĂ©, et avons ensuite utilisĂ© ces mesures pour prĂ©dire le comportement des sujets au cours du jeu. Nous avons pu constater que les sujets qui Ă©prouvent de l’aversion Ă  l’ambiguĂŻtĂ© dĂ©cident de payer plus souvent afin de clarifier cette ambiguĂŻtĂ©. D’autre part, nous avons constatĂ© que moins les sujets Ă©prouvent de l’aversion au risque, plus leurs gains lors du jeu sont Ă©levĂ©s. À la lumiĂšre d’une Ă©tude sur le terrain ayant eu lieu avec des fermiers travaillant dans une Ă©conomie en dĂ©veloppement, nos rĂ©sultats confirment l'Ă©vidence d'un lien entre l'aversion Ă  l'ambiguĂŻtĂ© et les choix technologiques, ainsi que d'un lien entre l'aversion au risque et la rentabilitĂ© d'une ferme.learning-by-doing, technology choice, risk preferences, risk measurement instruments, ambiguity aversion, experimental economics, apprentissage par essais, choix technologiques, prĂ©fĂ©rences vis-Ă -vis du risque, instruments de mesure du risque, aversion Ă  l’ambiguĂŻtĂ©, Ă©conomie expĂ©rimentale

    A Simple Test of Learning Theory?

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    We report experiments designed to test the theoretical possibility, first discovered by Shapley (1964), that in some games learning fails to converge to any equilibrium, either in terms of marginal frequencies or of average play. Subjects played repeatedly in fixed pairings one of two 3 × 3 games, each having a unique Nash equilibrium in mixed strategies. The equilibrium of one game is predicted to be stable under learning, the other unstable, provided payoffs are sufficiently high. We ran each game in high and low payoff treatments. We find that, in all treatments, average play is close to equilibrium even though there are strong cycles present in the data.: Games, Learning, Experiments, Stochastic Fictitious Play, Mixed Strategy Equilibria.

    Harnessing the Power of Focal Points To Measure Social Agreement

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    This paper reports results from an application of Thomas Schelling’s (1960) concept of a focal point to the measure of social agreement on the received tone of media content. In our experiments, subjects rate the tone, positive, negative, or neutral, of newspaper articles and news broadcasts, with an incentive to coordinate responses. We compare the content analysis of a traditional subject pool with those of a representative cross-section of the general public. Our application of the coordination game with strategy labels illustrates that the concept of a focal point can be put to use as a measure of social agreement. Le document prĂ©sente les rĂ©sultats obtenus en appliquant le concept de point focal, avancĂ© par Thomas Schelling (1960), Ă  la mesure de l’accord social concernant la perception du ton qui se dĂ©gage du contenu mĂ©diatique. Dans le cadre des expĂ©riences mises sur pied, les sujets Ă©valuent le ton, positif, nĂ©gatif ou neutre, adoptĂ© dans des articles de journaux et des bulletins de nouvelles et sont encouragĂ©s, par des mesures incitatives, Ă  coordonner leurs rĂ©ponses. Nous comparons l’analyse du contenu rĂ©alisĂ©e par un bassin traditionnel de sujets Ă  celle menĂ©e par un Ă©chantillon reprĂ©sentatif du grand public. Notre application du jeu de coordination faisant appel Ă  des Ă©tiquettes de stratĂ©gies dĂ©montre que la notion de point focal peut ĂȘtre utilisĂ©e pour mesurer l’accord social.Coordination, focal point, experiment, content analysis, media, Coordination, point focal, expĂ©rience, analyse du contenu, mĂ©dias

    AN EXPERIMENTAL TEST OF TAYLOR-TYPE RULES WITH INEXPERIENCED CENTRAL BANKERS

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    We experimentally test whether a class of monetary policy decision rules describes decision making in a population of inexperienced central bankers. In our experiments, subjects repeatedly set the short-term interest rate for a computer economy with inflation as their target. A large majority of subjects learn to successfully control inflation. We find that Taylor-type rules fit the choice data well, and are instrumental in characterizing heterogeneity in decision making. Our experiment is the first to begin to organize data experimentally with an eye on monetary policy rules for this, one of the most widely watched and analyzed decisions in economics.

    An Experimental Test Of Taylor-Type Rules With Inexperienced Central Bankers

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    We experimentally test whether a class of monetary policy decision rules describes decision making in a population of inexperienced central bankers. In our experiments, subjects repeatedly set the short-term interest rate for a computer economy with inflation as their target. A large majority of subjects learn to successfully control inflation. We find that Taylor-type rules fit the choice data well, and are instrumental in characterizing heterogeneity in decision making. Our experiment is the first to begin to organize data experimentally with an eye on monetary policy rules for this, one of the most widely watched and analyzed decisions in economics.monetary policy, Taylor rule, experimental economics, repeated games

    Experimental Economics: A Revolution in Understanding Behaviour

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    What is the best compensation package to offer employees? How should choice among investments in pension plans be structured? Should a government use auctions to sell natural resources? Is it possible to design a market to reduce non-point source pollution in Quebec’s watersheds? What holds people back from trying technologies that are completely new to them? Over the last two decades a revolution has occurred in the advancement of our ability to answer questions such as these. This revolution is called experimental economics. Experimental economics is the use of a controlled laboratory environment to understand decisions people make. In an economics experiment, people make decisions in a laboratory. They are paid according to the outcome of their decisions, and their decisions are analyzed to determine the effect of an institutional or environmental change that is being tested. Through the analysis of behaviour in controlled economics experiments, much has been learned about behaviour when outcomes are uncertain: for example, new notions about preferences toward risk and consumption over time have been developed. Much has also been learned about how people behave in strategic environments: for example, bidding behaviour in auctions is better understood, and the strategies people use as they learn how to trust each other have been observed. The purpose of this report is to describe the methodology of experimental economics and to detail its major uses. We will focus on the ability to measure behaviours in a wide variety of situations important to organizations. We will show, with examples from our own work, how feedback between the laboratory and the field can result in new understanding of decisions in an effort to affect the cycle of poverty in a developing country in fundamentally new ways. What is the best compensation package to offer employees? How should choice among investments in pension plans be structured? Should a government use auctions to sell natural resources? Is it possible to design a market to reduce non-point source pollution in Quebec’s watersheds? What holds people back from trying technologies that are completely new to them? Over the last two decades a revolution has occurred in the advancement of our ability to answer questions such as these. This revolution is called experimental economics. Experimental economics is the use of a controlled laboratory environment to understand decisions people make. In an economics experiment, people make decisions in a laboratory. They are paid according to the outcome of their decisions, and their decisions are analyzed to determine the effect of an institutional or environmental change that is being tested. Through the analysis of behaviour in controlled economics experiments, much has been learned about behaviour when outcomes are uncertain: for example, new notions about preferences toward risk and consumption over time have been developed. Much has also been learned about how people behave in strategic environments: for example, bidding behaviour in auctions is better understood, and the strategies people use as they learn how to trust each other have been observed. The purpose of this report is to describe the methodology of experimental economics and to detail its major uses. We will focus on the ability to measure behaviours in a wide variety of situations important to organizations. We will show, with examples from our own work, how feedback between the laboratory and the field can result in new understanding of decisions in an effort to affect the cycle of poverty in a developing country in fundamentally new ways.

    Who Gets the Last Word? An Experimental Study of the Effect of a Peer Review Process on the Expression of Social Norms

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    We alter who gets the last word on the outcome in three different types of trust games: the first mover, the second mover, or, a committee comprised of first and second movers. The committee functions in a manner similar to a peer review process, in which experienced subjects pass judgment on the outcome reached by a different pair of subjects. Surprisingly, giving the first mover the last word benefits the second mover. Letting the committee decide increases the first mover’s trust. And first and second movers pass different types of judgments when they act as a committee. Au cours de trois jeux de confiance diffĂ©rents, nous alternons la personne qui aura le dernier mot sur le rĂ©sultat : le premier joueur, le deuxiĂšme joueur, ou un comitĂ© (Ă  qui revient la dĂ©cision) composĂ© du premier et du second joueur. Ce comitĂ© fonctionne de maniĂšre similaire Ă  la rĂ©vision conventionnelle par les pairs, oĂč des joueurs expĂ©rimentĂ©s passent un jugement sur les rĂ©sultats prĂ©alablement rĂ©alisĂ©s par deux joueurs diffĂ©rents. Étonnamment, donner le dernier mot au premier joueur donne l’avantage au deuxiĂšme joueur. D’autre part, laisser le comitĂ© prendre la dĂ©cision augmente la confiance du premier joueur. Finalement, les premiers et seconds joueurs passent diffĂ©rents types de jugements lorsqu’ils font partie d’un comitĂ©.experimental economics, peer review, social norm, social preferences, third-party punishment, trust, confiance, Ă©conomie expĂ©rimentale, normes sociales, prĂ©fĂ©rences sociales, rĂ©vision par les pairs, sanctions par une tierce personne

    BUYER CONCENTRATION AS A SOURCE OF COUNTERVAILING POWER: EVIDENCE FROM EXPERIMENTAL POSTED-OFFER MARKETS

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    We experimentally examine the impact of buyer concentration on the pricing of a monopolist. In our experimental markets, a monopolist faces either two or four buyers. Markets with two buyers achieve significantly lower prices, sometimes below competitive levels, than those with four buyers. We design an additional pair of treatments to pinpoint the source of this difference. We attribute the lower pries in the two-buyer treatment to the monopolist pricing more cautiously when there are fewer buyers in order to avoid costly losses in sales. Buyer concentration may thus be an elective source of countervailing power.
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