4 Why Should we Believe Politicians? Lupia and McCubbins – The Democratic Dilemma GV917.

Slides:



Advertisements
Similar presentations
Bayes rule, priors and maximum a posteriori
Advertisements

The Basics of Game Theory
BASICS OF GAME THEORY. Recap Decision Theory vs. Game Theory Rationality Completeness Transitivity What’s in a game? Players Actions Outcomes Preferences.
This Segment: Computational game theory Lecture 1: Game representations, solution concepts and complexity Tuomas Sandholm Computer Science Department Carnegie.
3. Basic Topics in Game Theory. Strategic Behavior in Business and Econ Outline 3.1 What is a Game ? The elements of a Game The Rules of the.
Stackelberg -leader/follower game 2 firms choose quantities sequentially (1) chooses its output; then (2) chooses it output; then the market clears This.
Cheap Talk. When can cheap talk be believed? We have discussed costly signaling models like educational signaling. In these models, a signal of one’s.
VARIATIONS ON SIMPLE PAYOFF MATRICES Topic #6. The Payoff Matrix Given any payoff matrix, the standard assumption is – that the players choose their strategies.
Non-Cooperative Game Theory To define a game, you need to know three things: –The set of players –The strategy sets of the players (i.e., the actions they.
6-1 LECTURE 6: MULTIAGENT INTERACTIONS An Introduction to MultiAgent Systems
Introduction to Philosophy Lecture 6 Pascal’s wager
1 Game Theory. By the end of this section, you should be able to…. ► In a simultaneous game played only once, find and define:  the Nash equilibrium.
Chapter 6 Game Theory © 2006 Thomson Learning/South-Western.
Chapter 6 Game Theory © 2006 Thomson Learning/South-Western.
Game Theory Game theory is an attempt to model the way decisions are made in competitive situations. It has obvious applications in economics. But it.
EKONOMSKA ANALIZA PRAVA. Game Theory Outline of the lecture: I. What is game theory? II. Elements of a game III. Normal (matrix) and Extensive (tree)
Short introduction to game theory 1. 2  Decision Theory = Probability theory + Utility Theory (deals with chance) (deals with outcomes)  Fundamental.
Cognitive Biases 2 Incomplete and Unrepresentative Data.
1 Addressing Students’ Misconceptions about Probability Leonid Khazanov.
Cheap Talk. When can cheap talk be believed? We have discussed costly signaling models like educational signaling. In these models, a signal of one’s.
GAME THEORY.
Chapter 6 © 2006 Thomson Learning/South-Western Game Theory.
Rational Choice Sociology Lecture 5 Game theory I: the concept and classification of games.
GAME THEORY By Ben Cutting & Rohit Venkat. Game Theory: General Definition  Mathematical decision making tool  Used to analyze a competitive situation.
Adverse Selection Asymmetric information is feature of many markets
EC102: Class 9 Christina Ammon.
1 1 Deep Thought BA 445 Lesson C.2 Cheap Talk when Interests Align A verbal contract isn’t worth the paper it’s written on. ~ Yogi Berra (Translation:
A camper awakens to the growl of a hungry bear and sees his friend putting on a pair of running shoes, “You can’t outrun a bear,” scoffs the camper. His.
Objectives © Pearson Education, 2005 Oligopoly LUBS1940: Topic 7.
An Introduction to Game Theory Part II: Mixed and Correlated Strategies Bernhard Nebel.
Gabriel Tsang Supervisor: Jian Yang.  Initial Problem  Related Work  Approach  Outcome  Conclusion  Future Work 2.
QR 38, 2/13/07 Rationality and Expected Utility I. Rationality II. Expected utility III. Sets and probabilities.
1 Introduction APEC 8205: Applied Game Theory. 2 Objectives Distinguishing Characteristics of a Game Common Elements of a Game Distinction Between Cooperative.
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.
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.
TOPIC 6 REPEATED GAMES The same players play the same game G period after period. Before playing in one period they perfectly observe the actions chosen.
QR 38, 2/15/07 Extensive form games I.Writing down a game II.Finding the equilibrium III.Adding complexity.
DANSS Colloquium By Prof. Danny Dolev Presented by Rica Gonen
Argumentation - 1 We often encounter situations in which someone is trying to persuade us of a point of view by presenting reasons for it. We often encounter.
Social Choice Session 7 Carmen Pasca and John Hey.
Game Theory and Grice’ Theory of Implicatures Anton Benz.
Microeconomics 2 John Hey. Game theory (and a bit of bargaining theory) A homage to John Nash. Born Still alive (as far as Google knows). Spent.
Game Theory Robin Burke GAM 224 Spring Outline Admin Game Theory Utility theory Zero-sum and non-zero sum games Decision Trees Degenerate strategies.
Extending the Definition of Exponents © Math As A Second Language All Rights Reserved next #10 Taking the Fear out of Math 2 -8.
Dynamic Games & The Extensive Form
THE “CLASSIC” 2 x 2 SIMULTANEOUS CHOICE GAMES Topic #4.
Public Policy Analysis MPA 404 Lecture 24. Previous Lecture Graphical Analysis of Tariff and Quota Game Theory; The prisoner's Dilemma.
Negotiation 101 Fairness and the importance of looking ahead.
What games do economists play? To see more of our products visit our website at Tom Allen, Head of Economics, Eton College.
3.1.4 Types of Games. Strategic Behavior in Business and Econ Outline 3.1. What is a Game ? The elements of a Game The Rules of the Game:
Welcome to MM570 Psychological Statistics
Lecture 12. Game theory So far we discussed: roulette and blackjack Roulette: – Outcomes completely independent and random – Very little strategy (even.
Testing theories of fairness— Intentions matter Armin Falk, Ernst Fehr, Urs Fischbacher February 26, 2015.
The Rational Choice Perspective IS IT IRRATIONAL TO HAVE OPINIONS ABOUT POLITICS? Presentation by Craig Love and Jess Blair.
Chapter 16 Oligopoly and Game Theory. “Game theory is the study of how people behave in strategic situations. By ‘strategic’ we mean a situation in which.
1 Systems Analysis Methods Dr. Jerrell T. Stracener, SAE Fellow SMU EMIS 5300/7300 NTU SY-521-N NTU SY-521-N SMU EMIS 5300/7300 Utility Theory Applications.
Lec 23 Chapter 28 Game Theory.
Cheap Talk. When can cheap talk be believed? We have discussed costly signaling models like educational signaling. In these models, a signal of one’s.
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.
Criticisms of the Cosmological argument Hume, Mackie and Anscombe.
Shane Murphy ECON 102 Tutorial: Week 8 Shane Murphy
Game Theory By Ben Cutting & Rohit Venkat.
Q 2.1 Nash Equilibrium Ben
Correlated equilibria, good and bad: an experimental study
Lecture 13.
Rational Choice Sociology
Learning 6.2 Game Theory.
Game Theory Day 2: More Simple Games.
Mathematical Foundations of BME Reza Shadmehr
Presentation transcript:

4 Why Should we Believe Politicians? Lupia and McCubbins – The Democratic Dilemma GV917

Game Theory – the study of conflict and cooperation Game theory uses rational choice assumptions in which each individual is trying to maximize their utilities subject to the behaviour of others Lupia and McCubbins use game theory to develop a model of communications to address the basic problem: When should individual’s trust the information they are receiving from others, particularly politicians who they do not know?

The Model There are two players in the model - The speaker who is trying to persuade the principal to support an issue or to vote for a particular candidate The speaker provides information about two alternative choices x and y (eg candidates or policies) and tries to persuade the principal to choose one of them The key issue is when is such persuasion effective and when is it not effective?

Playing the Game The model involves three sequential moves – the order of the moves is not relevant for the outcomes: (1) Determining if x is better or worse than y from the point of view of the principal (2) Determining if the speaker has the knowledge to accurately recommend x or y to the principal (he might not know what he is talking about) (3) Determining if the speaker and the principal have common interests or antagonistic interests (if the speaker has antagonistic interests he might lie) Given the three alternatives we can describe the whole choice situation in terms of a tree diagram, which sets out the alternatives

The Tree Diagram of the Persuasion Game

Branch (1) The First Dilemma – Does the Speaker know what he is talking about? The first dilemma for the principal is to determine whether the speaker knows what he is talking about: The probability that the speaker has the knowledge to give advice is k, and therefore the probability that he does not have the knowledge is (1-k)

Branch 2 The Second Dilemma – Do they have common interests? The second dilemma for the principal is to determine if he and the speaker have common interests The probability that they have common interests is c and therefore the probability that they do not have such common interests is (1-c)

Branch 3 The third dilemma – Is x better than y from the Principal’s point of view? The third dilemma is to determine if alternative x is better than y, or if it is the other way round The probability that x is better than y is b and therefore the probability that y is better than x is (1-b)

There are eight alternatives arising from this setup (k)(c)(b) (k)(c)(1-b) (k)(1-c)(b) (k)(1-c)(1-b) (1-k)(c)(b) (1-k)(c)(1-b) (1-k)(1-c)(b) (1-k(1-c)(1-b) For example, the first sequence is: speaker has the knowledge (k), they both have common interests (c) and x is better than y for the principal (b). These alternatives are decided by ‘nature’ which is a way of saying that the players do not choose them

The Speaker makes his move Both players now know the alternatives, so the speaker then makes his move: For example he declares: ‘x is better than y’ or alternatively he says ‘x is worse than y’ Notice that he can choose one of these alternatives at each of the eight branches of the tree described previously – which gives 16 outcomes The principal then has to decide whether to accept this message or reject it. Again he can choose either of these alternatives at each of the 16 branches, giving a total of 32 alternatives

How does the Principal decide what to do? He looks at the payoffs arising from each of the thirty-two branches of the tree and determines which is the best one For example, assume that we are moving down the branch in which (1) The speaker knows what he is talking about (2) The principal and speaker have common interests (3) x is better than y from the point of view of the principal This branch has four outcomes:

Outcomes in the example (k)(c)(b) B. X. – we are moving down branch (1) and the speaker says ‘x is better than y’ (B), and the principal believes him and chooses X. This produces a payoff of Z for the speaker and U for the principal {Z,U} – both gain. (k)(c)(b) B. Y. – In this case the speaker recommends x but the principal does not believe him and chooses y. The payoffs are {0,0} for both the speaker and principal – neither gains because the correct advice has been rejected (k)(c)(b) W. X. – speaker says ‘worse’ but the principal does not believe him and they end up with payoffs {Z,U}. These are positive because the principal is not fooled by the wrong message. (k)(c)(b) W. Y. – speaker says ‘worse’ principal believes him with payoffs {0,0}. The principal loses from believing the lie.

What Should they do if they are on this branch? If they are on the (k)(c)(b) branch then it makes no sense for the principal or speaker to choose alternatives which lead to zero payoffs for both of them, so this rules out (k)(c)(b) B. Y. and (k)(c)(b) W. Y. From the principal and speakers points of view (k)(c)(b) B. X. and (k)(c)(b) W. X. deliver positive payoffs and so are preferred But the speaker has no incentive to choose (k)(c)(b) W. X. – there is no payoff from lying – he might just as well tell the truth So the equilibrium outcome on this particular branch is (k)(c)(b) B. X. The principal believes the speaker because he thinks the speaker knows what he is talking about and they have common interests

What about another branch? Suppose we change the assumptions and go down a different branch, so that assume (1) The speaker knows what he is talking about (2) The principal and speaker do not have common interests (3) x is better than y from the point of view of the principal Again this produces four branches, but this time the payoffs are different.

Outcomes on this other branch (k)(1-c)(b) B. X. produces {-Z,U}. That is the speaker tells the truth (x is better than y) and the principal gains U because he believes it. However, the speaker now gets –Z, a negative payoff. This occurs because of the conflicting interests – he has in effect recommended something which is not in his interests. The speaker would have been better off lying to the principal

A better outcome for the speaker on this branch. (k)(1-c)(b) W. Y. produces {0,0}. In this case the speaker lies by saying that x is worse than y and the principal believes him. They both end up with nothing because in reality x is better than y. Note that a zero payoff is better for the speaker than a negative payoff of –Z, so he prefers that outcome. This means that there is an equilibrium outcome on this branch because the speaker prefers it. He has an incentive to lie Looking back through all the branches this means that if the principal thinks that he has a conflict of interest with the speaker he should assume that the speaker is going to lie.

The Equilibria of the Game Backwards induction or working back through the tree diagram to evaluate all the possibilities produces two equilibria in this game – outcomes in which actors have no incentives to move away from. (1) If the principal thinks that the speaker and he have common interests and also that he knows what he is talking about then the principal should believe him and be persuaded – they both end up with positive payoffs (2) If the principal thinks that the speaker is not knowledgeable or that they have conflicting interests he should assume that the speaker will lie and not be persuaded – they both end up with zero payoffs

The Findings from the Model Perceived common interests are a necessary condition for persuasion. This is not sufficient though. Perceived speaker knowledge is a necessary condition for persuasion. This is not, however, sufficient. Perceived common interests and speaker knowledge are necessary and sufficient conditions for persuasion

Some Experimental Evidence Lupia and McCubbins tested these ideas in the laboratory. They had a speaker and a principal in the experimental setup, using undergraduate students at the University of California The principal had to predict the outcome of coin toss (‘heads’ or ‘tails’) following persuasion by the speaker, who tried to favour one over the other The principal received $1.0 for a correct prediction and in different setups the speaker received different amounts depending on his success in persuading the principal

Treatments - Interests In one version of the experiment the principal knew that the speaker received a positive payoff if he predicted correctly (common interests). In a second version the principal knew that the speaker received a positive payoff if he predicted wrongly (conflicting interests) The experiments involved varying the speaker attributes to test the theory

Treatments – Speaker Attributes If the speaker saw the coin toss before saying anything he was described as enlightened or knowledgeable and if he had common interests with the principal the expectation is that persuasion would be successful If the speaker saw the coin toss but did not have common interests, the expectation would be that he would try to deceive the principal into believing they had common interests If the speaker did not see the coin toss the expectation would be that he would not be persuasive, since he was not knowledgeable The measure of persuasion is the number of times the principal’s prediction matched the speakers statement

Results When the conditions for persuasion and enlightenment were satisfied persuasion occurred 89 per cent of the time (expectation 100 percent) When the conditions for persuasion were not satisfied persuasion occurred 58 per cent of the time (expectation 50 per cent)

Conclusions Game theory makes specific predictions about behaviour which can be empirically tested There is considerable support for the Lupia and McCubbins argument However, a laboratory experiment with undergraduates of the University of California has its limitations There are systematic violations of rational choice which are observed in practice