Experimental Economics NSF short course David Laibson August 11, 2005.

Slides:



Advertisements
Similar presentations
Nagel: Unraveling in Guessing Games: An Experimental Study Economics 328 Spring 2005.
Advertisements

Building Agents for the Lemonade Game Using a Cognitive Hierarchy Population Model Michael Wunder Michael Kaisers Michael Littman John Yaros.
Introduction to Game Theory
Nash’s Theorem Theorem (Nash, 1951): Every finite game (finite number of players, finite number of pure strategies) has at least one mixed-strategy Nash.
This Segment: Computational game theory Lecture 1: Game representations, solution concepts and complexity Tuomas Sandholm Computer Science Department Carnegie.
Operations Research Assistant Professor Dr. Sana’a Wafa Al-Sayegh 2 nd Semester ITGD4207 University of Palestine.
Lectures 7&8 Revisit Elections Now range is left-wing or right-wing politics. Candidate-Voter model Assume even distribution of voters. Voters will vote.
Game Theory 1. Game Theory and Mechanism Design Game theory to analyze strategic behavior: Given a strategic environment (a “game”), and an assumption.
Game Theory. “If you don’t think the math matters, then you don’t know the right math.” Chris Ferguson 2002 World Series of Poker Champion.
Game Theory Eduardo Costa. Contents What is game theory? Representation of games Types of games Applications of game theory Interesting Examples.
Some terminology When the relation between variables are expressed in this manner, we call the relevant equation(s) mathematical models The intercept and.
Economics 202: Intermediate Microeconomic Theory 1.HW #6 on website. Due Thursday. 2.No new reading for Thursday, should be done with Ch 8, up to page.
An Introduction to Game Theory Part I: Strategic Games
GAME THEORY.
Chapter 6 © 2006 Thomson Learning/South-Western Game Theory.
1 Duke PhD Summer Camp August 2007 Outline  Motivation  Mutual Consistency: CH Model  Noisy Best-Response: QRE Model  Instant Convergence: EWA Learning.
Behavioral Economics chapter 13 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written.
An Introduction to Game Theory Part II: Mixed and Correlated Strategies Bernhard Nebel.
MBA 201A Section 6: Game Theory and Review. Overview  Game Theory  Costs  Pricing  Price Discrimination  Long Run vs. Short Run  PS 5.
Decision Analysis April 11, Game Theory Frame Work Players ◦ Decision maker: optimizing agent ◦ Opponent  Nature: offers uncertain outcome  Competition:
Lecture 1 - Introduction 1.  Introduction to Game Theory  Basic Game Theory Examples  Strategic Games  More Game Theory Examples  Equilibrium  Mixed.
Algorithmic and Economic Aspects of Networks Nicole Immorlica.
QR 38, 2/13/07 Rationality and Expected Utility I. Rationality II. Expected utility III. Sets and probabilities.
Games Game 1 Each pair picks exactly one whole number The lowest unique positive integer wins Game 2: Nim Example: Player A picks 5, Player B picks 6,
1 Game Theory Here we study a method for thinking about oligopoly situations. As we consider some terminology, we will see the simultaneous move, one shot.
Contact My is The course web address is
Rationality and information in games Jürgen Jost TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAA A A A AAA Max Planck.
Guessing game Guess a number 0 to 100. The guess closest to 2/3 the average number wins a prize. Ties will be broken randomly. Please write your name and.
Introduction to Game Theory and Behavior Networked Life CIS 112 Spring 2009 Prof. Michael Kearns.
Frontiers of Microeconomics
Games in the normal form- An application: “An Economic Theory of Democracy” Carl Henrik Knutsen 5/
Alpha-Beta Search. 2 Two-player games The object of a search is to find a path from the starting position to a goal position In a puzzle-type problem,
Time for playing games Form pairs You will get a sheet of paper to play games with You will have 12 minutes to play the games and turn them in.
“It is not a case of choosing those faces that, to the best of one’s judgment, are really the prettiest, nor even those that average opinion genuinely.
Two-Stage Games APEC 8205: Applied Game Theory Fall 2007.
A Dynamic Level-k Model in Games Teck Ho and Xuanming Su UC Berkeley April 2011 Teck Hua Ho 1.
The Marriage Problem Finding an Optimal Stopping Procedure.
Introduction to Game Theory and Strategic Interactions.
Brian Duddy.  Two players, X and Y, are playing a card game- goal is to find optimal strategy for X  X has red ace (A), black ace (A), and red two (2)
Lecture Notes in Game Theory1 Game Theory Applications: Lecture 2 u Galina Albert Schwartz Galina Albert Schwartz u Department of Finance u University.
Chapter 12 Choices Involving Strategy Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written.
“Life must be understood backward, but … it must be lived forward.”
Descriptive Statistics A Short Course in Statistics.
Some Analysis of Coloring Experiments and Intro to Competitive Contagion Assignment Prof. Michael Kearns Networked Life NETS 112 Fall 2014.
Game Theory Part 2: Zero Sum Games. Zero Sum Games The following matrix defines a zero-sum game. Notice the sum of the payoffs to each player, at every.
Principles of Microeconomics 15. Psychology and Economics* Akos Lada August 13th, 2014 * Slide content principally sourced from N. Gregory Mankiw and David.
Game theory & Linear Programming Steve Gu Mar 28, 2008.
Chapters 29, 30 Game Theory A good time to talk about game theory since we have actually seen some types of equilibria last time. Game theory is concerned.
Classroom Games in Economics Tuvana Pastine Sept 19, 2014.
Coricelli and Nagel (2008) Introduction Methods Results Conclusion.
Data Analysis Econ 176, Fall Populations When we run an experiment, we are always measuring an outcome, x. We say that an outcome belongs to some.
It is very important that you learn about traxoline. Traxoline is a new form of zionter. It is monotilled in Ceristanna. The Ceristannians gristerlate.
Experimental Design Econ 176, Fall Some Terminology Session: A single meeting at which observations are made on a group of subjects. Experiment:
Lecture 12. Game theory So far we discussed: roulette and blackjack Roulette: – Outcomes completely independent and random – Very little strategy (even.
Strategic Behavior in Business and Econ Static Games of complete information: Dominant Strategies and Nash Equilibrium in pure and mixed strategies.
Strategic Game Theory for Managers. Explain What is the Game Theory Explain the Basic Elements of a Game Explain the Importance of Game Theory Explain.
5 MARCH 2015 TOK LECTURE TRUTH: TNML. ECONOMICS  ECONOMISTS HAVE A VERY SHAKY RELATIONSHIP WITH TRUTH.  AT THE HEART OF THE FINANCIAL CRISIS OF 2008.
UNSW | BUSINESS SCHOOL | SCHOOL OF ECONOMICS Calling the shots Experimental evidence on significant aversion to non-existing strategic risk Ben Greiner.
ECO290E: Game Theory Lecture 3 Why and How is Nash Equilibrium Reached?
Lec 23 Chapter 28 Game Theory.
Incomplete Information and Bayes-Nash Equilibrium.
By: Donté Howell Game Theory in Sports. What is Game Theory? It is a tool used to analyze strategic behavior and trying to maximize his/her payoff of.
Experiments and “Rational” Behavior, 5/1/07. Beauty Contest Game Each person choose a number from 0 to 100. We will average these numbers. The person.
Signaling Game Problems. Signaling game. Two players– a sender and receiver. Sender knows his type. Receiver does not. It is not necessarily in the sender’s.
Unit 4 SOCIAL INTERACTIONS.
Frontiers of Microeconomics
Session 2: Experimental and Behavioral Game Theory
CS51A David Kauchak Spring 2019
Lesson 66 – Improper Integrals
Frontiers of Microeconomics
Presentation transcript:

Experimental Economics NSF short course David Laibson August 11, 2005

Outline Game theory and behavioral game theory Experimental economics and behavioral economics P-beauty Buying a firm

Game Theory and Behavioral Game Theory game theory is a mathematical theory of game playing game theory is based on the idea that everybody maximizes behavioral game theory is also a mathematical theory of game playing behavioral game theory is based on the idea that everybody tries to maximize but that people sometimes make mistakes behavioral game theory is designed to describe the behavior of real people

Experimental Economics and Behavioral Economics experimental economics is a research method --- research that uses experiments behavioral economics studies economic models that include psychological factors: –social preferences –problems of self-control –limits on rationality

Experimental Economics Behavioral Economics Today

P-Beauty Contest Rules 1.Players choose a number from 0 to 100 (all numbers allowed, including decimals). 2.I collect all of the chosen numbers. 3.I average the numbers. Call the average X. 4.I calculate 2/3 of X. Let Y = (2/3)X. 5.Player whose number is closest to Y wins $20. 6.If there is a tie, tied players split the prize. Write your chosen number here: ______ On the reverse side, please explain your choice… Name: ________________

How would a rational person play? A rational player should maximize their winnings (i.e., their “payoff”). To be on the safe side, we say that a rational player should maximize their average (or “expected”) payoff, since there is sometimes a degree of uncertainty. Definition: In a rational equilibrium, all players maximize their expected payoff.

Let’s look for a rational equilibrium. What if everyone guessed 0? The average guess would be 0. Given what everybody else is doing (picking 0), the best thing for me to do is also to pick 0, since my guess is 2/3 of the average guess. So if everyone picks 0, everyone is maximizing their expected payoff given what everyone else is doing. Everyone picking 0 is a rational equilibrium.

Is there another rational equilibrium? What if everyone guessed 10? The average guess would be 10. Nobody is picking a number that is two- thirds of the average: (2/3)*10. So nobody is maximizing their expected payoff. Everyone guessing 10 is not a rational equilibrium. In fact, everyone guessing 0 is the only rational equilibrium.

Do people play a rational equilibrium? What do you think? Why or why not? Average number that “you” chose: 18.3 Median number that you chose: 20 2/3 * Average Guess = So the best guess would have been See histogram for dispersion See Nagel (1995) and Bosch-Domenech et al (2002)

What did you do? 1st order reasoning: “Equal probability distribution: E[av] = 50, so 2/3*50 = 33.” 2nd order reasoning: “I figure most folks will assume other folks assume a random distribution between 1 and 100: so 2/3 * 2/3 * 50 = 22.” ∞-order reasoning: “If everyone is seeking to optimize their probability, then first the average will be 50, 2/3 of that, so everyone will pick 33 but if everyone figures that then they'll pick 2/3 of that etc...down to 0.” behavioral game theory: “everyone will 1st think x = 50, implying that y = 33.3, but then x = 33.3 implying that y = end up at 0 eventually. but don't know how far to go, so i'll guess a low nonzero number, 5”

Lessons from p-beauty contest Game theory predicts that everyone is equally (and perfectly) rational But real players are not all perfectly rational –different education –different levels of experience –different types of thinking –different intensity of thinking

If people were all perfectly rational, it would be impossible to consistently be “one-step ahead of the competition,” since everyone anticipates everyone elses' moves. In the real world staying “one-step ahead of the competition” is a reasonable goal (which some highly experienced, well informed people will achieve). But it is also possible to be “one-step behind the competition” (which some less experienced, less informed people will achieve). It’s useful to try to figure out where you stand!

Assuming that everyone is rational may not be the best strategy in practice. However, the rational equilibrium is still a useful concept because it gives us information about some behavioral tendencies. Successful real-world behavior combines an appreciation that some opponents will be highly rational and other will be a little confused. Successful real-world actors never forget to consider the possibility that they are themselves the confused players.

IQ, Time, Stakes, Learning CalTech students have a median math SAT of 800 and the average test score of the applicants to CalTech is higher than the average test score of the students who are accepted at Harvard. Nevertheless, CalTech students do not play much differently than students at other colleges However, we know very little about how people without much education play such games. Time and stakes make only a small difference. Learning makes a large difference. “There are no interesting games in which subjects reach a predicted equilibrium immediately. And there are no games so complicated that subjects do not converge in the direction of equilibrium with enough experience in the lab.” (Camerer, 2002)

Why is it called the p-beauty contest? In the General Theory, Keynes describes a newspaper beauty contest in which readers guess which published photos other readers will pick as the most beautiful. “It is not a case of choosing those which, to the best of one's judgment, are really the prettiest, nor even those which average opinion genuinely thinks the prettiest. We have reached the third degree, where we devote our intelligences to anticipating what average opinion expects the average opinion to be. And there are some, I believe, who practice the fourth, fifth and higher degrees.” Your challenge was also to select a number that reflected your best guess of what other players would do (and vice versa).