The Myerson Satterthwaite Theorem. Game Theory Course: Jackson, Leyton-Brown & Shoham

Similar documents
Optimal Auctions. Game Theory Course: Jackson, Leyton-Brown & Shoham

Microeconomic Theory II Preliminary Examination Solutions

Mechanism Design: Single Agent, Discrete Types

EC476 Contracts and Organizations, Part III: Lecture 3

1 Theory of Auctions. 1.1 Independent Private Value Auctions

Auctions. Michal Jakob Agent Technology Center, Dept. of Computer Science and Engineering, FEE, Czech Technical University

Topics in Contract Theory Lecture 1

Mechanism Design and Auctions

Auctions. Michal Jakob Agent Technology Center, Dept. of Computer Science and Engineering, FEE, Czech Technical University

The Optimality of Being Efficient. Lawrence Ausubel and Peter Cramton Department of Economics University of Maryland

Double Auction Markets vs. Matching & Bargaining Markets: Comparing the Rates at which They Converge to Efficiency

PhD Qualifier Examination

Homework 3: Asymmetric Information

Efficiency in Decentralized Markets with Aggregate Uncertainty

Robust Trading Mechanisms with Budget Surplus and Partial Trade

Homework 3. Due: Mon 9th December

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited

April 29, X ( ) for all. Using to denote a true type and areport,let

Auctions Introduction

Inefficiencies in Bargaining: Departing from Akerlof and Myerson-Satterthwaite

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012

Bayesian games and their use in auctions. Vincent Conitzer

Auction Theory Lecture Note, David McAdams, Fall Bilateral Trade

Auction Theory: Some Basics

ECON DISCUSSION NOTES ON CONTRACT LAW. Contracts. I.1 Bargain Theory. I.2 Damages Part 1. I.3 Reliance

The Efficiency of Bargaining with Many Items

PhD Qualifier Examination

October 9. The problem of ties (i.e., = ) will not matter here because it will occur with probability

EXTRA PROBLEMS. and. a b c d

Introduction to Game Theory:

Ex-Post Incentive Compatible Mechanism Design

Signaling in an English Auction: Ex ante versus Interim Analysis

Adverse Selection: The Market for Lemons

Exit Options in Incomplete Contracts with Asymmetric Information

Assignment 1: Preference Relations. Decision Theory. Pareto Optimality. Game Types.

1 Rational Expectations Equilibrium

Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 2017

Definition of Incomplete Contracts

May I please pay a higher price? : sustaining non-simultaneous exchange through free disposal of bargaining advantage

Beliefs and Sequential Rationality

Reputation and Securitization

March 30, Why do economists (and increasingly, engineers and computer scientists) study auctions?

Prediction Market, Mechanism Design, and Cooperative Game Theory

Competing Mechanisms with Limited Commitment

THE PENNSYLVANIA STATE UNIVERSITY. Department of Economics. January Written Portion of the Comprehensive Examination for

Microeconomic Theory (501b) Comprehensive Exam

Introduction to Computational Game Theory CMPT 882. Simon Fraser University. Oliver Schulte. Rational Preferences. (start with powerpoint)

Notes on Auctions. Theorem 1 In a second price sealed bid auction bidding your valuation is always a weakly dominant strategy.

Problem Set 5 Answers

Lecture 3: Information in Sequential Screening

Extensive-Form Games with Imperfect Information

Outline Introduction Game Representations Reductions Solution Concepts. Game Theory. Enrico Franchi. May 19, 2010

ECON20710 Lecture Auction as a Bayesian Game

On Existence of Equilibria. Bayesian Allocation-Mechanisms

SPECTRUM MARKETS. Randall Berry, Michael Honig Department of EECS Northwestern University. DySPAN Conference, Aachen, Germany

CS711: Introduction to Game Theory and Mechanism Design

Mechanism Design and Auctions

A note on the inefficiency of bargaining over the price of a share

Signaling Games. Farhad Ghassemi

An Ascending Double Auction

Lecture 3: Other Selling Mechanisms

FDPE Microeconomics 3 Spring 2017 Pauli Murto TA: Tsz-Ning Wong (These solution hints are based on Julia Salmi s solution hints for Spring 2015.

MONOPOLY (2) Second Degree Price Discrimination

arxiv: v3 [cs.gt] 30 May 2018

working paper department technology massachusetts of economics 50 memorial drive institute of Cambridge, mass BARGAINING Joseph Number

Rethinking Incomplete Contracts

MA300.2 Game Theory 2005, LSE

Chapter 2. An Introduction to Forwards and Options. Question 2.1

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India August 2012

CMSC 474, Introduction to Game Theory 16. Behavioral vs. Mixed Strategies

Pricing theory of financial derivatives

Combinatorial Exchanges. David C. Parkes Harvard University

CS711 Game Theory and Mechanism Design

Asymmetric Information and the Role of Financial intermediaries

ECON Microeconomics II IRYNA DUDNYK. Auctions.

An Ascending Double Auction

SONDERFORSCHUNGSBEREICH 504

Auctions in the wild: Bidding with securities. Abhay Aneja & Laura Boudreau PHDBA 279B 1/30/14

CUR 412: Game Theory and its Applications, Lecture 11

Game Theory and Mechanism Design

Microeconomic Theory August 2013 Applied Economics. Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY. Applied Economics Graduate Program

Expectations & Randomization Normal Form Games Dominance Iterated Dominance. Normal Form Games & Dominance

Economics 502 April 3, 2008

Lectures on Externalities

AUCTIONS VERSUS NEGOTIATIONS: THE ROLE OF PRICE DISCRIMINATION

BARGAINING AND REPUTATION IN SEARCH MARKETS

So we turn now to many-to-one matching with money, which is generally seen as a model of firms hiring workers

General Examination in Microeconomic Theory SPRING 2014

Topics in Contract Theory Lecture 3

ECON DISCUSSION NOTES ON CONTRACT LAW-PART 2. Contracts. I.1 Investment in Performance

Price Setting with Interdependent Values

Bayesian Nash Equilibrium

2. Elementary model of a static double auction: independent, private values

PERSPECTIVES ON MECHANISM DESIGN IN ECONOMIC THEORY Roger Myerson, 8 Dec

UCLA Department of Economics Ph. D. Preliminary Exam Micro-Economic Theory

Problem Set 3: Suggested Solutions

Stochastic Games and Bayesian Games

Game Theory. Important Instructions

Byungwan Koh. College of Business, Hankuk University of Foreign Studies, 107 Imun-ro, Dongdaemun-gu, Seoul KOREA

SAMPLE FINAL QUESTIONS. William L. Silber

Transcription:

Game Theory Course: Jackson, Leyton-Brown & Shoham

Efficient Trade People have private information about the utilities for various exchanges of goods at various prices Can we design a mechanism that always results in efficient trade? Are strikes unavoidable?

Simple Exchange Setting Exchange of a single unit of an indivisible good Seller initially has the item and has a value for it of θ S [0, 1] Buyer has need for the item and has a value for it of θ B [0, 1]

An Example The buyer s value is equally likely to be either 1 or 1 The seller s value for the good is equally likely to be 0 or 9 Trade should take place for all combinations of values except (1,9)

An Example of a Mechanism The seller announces a price in [0,1] The buyer either buys or not at that price

An Example of a Mechanism The seller announces a price in [0,1] The buyer either buys or not at that price The seller should say a price of either 1 or 1 (presume that buyer says yes when indifferent) When the seller s value is 0:

An Example of a Mechanism The seller announces a price in [0,1] The buyer either buys or not at that price The seller should say a price of either 1 or 1 (presume that buyer says yes when indifferent) When the seller s value is 0: price of 1 leads to sale for sure: expected utility 1,

An Example of a Mechanism The seller announces a price in [0,1] The buyer either buys or not at that price The seller should say a price of either 1 or 1 (presume that buyer says yes when indifferent) When the seller s value is 0: price of 1 leads to sale for sure: expected utility 1, price of 1 leads to sale with probability 1/, expected utility of 1/

An Example of a Mechanism The seller announces a price in [0,1] The buyer either buys or not at that price The seller should say a price of either 1 or 1 (presume that buyer says yes when indifferent) When the seller s value is 0: price of 1 leads to sale for sure: expected utility 1, price of 1 leads to sale with probability 1/, expected utility of 1/ Better to set the high price Inefficient trade: (1, 0) do not trade

An Example of a Mechanism The seller announces a price in [0,1] The buyer either buys or not at that price The seller should say a price of either 1 or 1 (presume that buyer says yes when indifferent) When the seller s value is 0: price of 1 leads to sale for sure: expected utility 1, price of 1 leads to sale with probability 1/, expected utility of 1/ Better to set the high price Inefficient trade: (1, 0) do not trade What about other mechanisms?

Efficiency, Budget Balance and Individual Rationality Theorem (Myerson Satterthwaite) There exist distributions on the buyer s and seller s valuations such that: There does not exist any Bayesian incentive-compatible mechanism is simultaneously efficient, weakly budget balanced and interim individual rational

Can get efficient trades for some distributions: Suppose the buyers value is always above v and the sellers value is always below v Mechanism: always exchange the good, and at the price p B (θ B ) = v = p S (θ S ) Satisfies all of the conditions

Can get efficient trades for some distributions: Suppose the buyers value is always above v and the sellers value is always below v Mechanism: always exchange the good, and at the price p B (θ B ) = v = p S (θ S ) Satisfies all of the conditions Let us show the proof based our example: The buyer s value is equally likely to be either 1 or 1 The seller s value for the good is equally likely to be 0 or 9 Trade should take place for all combinations of values except (1,9)

Show the proof for fully budget balanced trade that is ex post individually rational Extension of the proof is easy (you can do it!) Trade should take place for all combinations of values except (θ B, θ S ) = (1, 9) Budget balance: we can write payments as a single price p(θ B, θ S ) (payment made by buyer, received by the seller) Weak budget balance: you can extend the proof - noting that the payment made by the buyer has to be at least that received by the seller

(1) p(1, 9) 9 by individual rationality of the seller

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =?

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9:

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9: p(1,0) + p(1,0) p(1,9) + p(1,9),

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9: p(1,0) + p(1,0) p(1,9) + p(1,9), which implies by (1), (), (3) that p(1, 0) + 1 9 + 0 or p(1, 0) 8

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9: p(1,0) + p(1,0) p(1,9) + p(1,9), which implies by (1), (), (3) that p(1, 0) + 1 9 + 0 or p(1, 0) 8 incentive compatibility for buyer of type θ B = 1 not wanting to pretend to be θ B = 1:

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9: p(1,0) + p(1,0) p(1,9) + p(1,9), which implies by (1), (), (3) that p(1, 0) + 1 9 + 0 or p(1, 0) 8 incentive compatibility for buyer of type θ B = 1 not wanting to pretend to be θ B = 1: 1 p(1,0) + 1 p(1,9) 1 p(1,0) + p(1,9),

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9: p(1,0) + p(1,0) p(1,9) + p(1,9), which implies by (1), (), (3) that p(1, 0) + 1 9 + 0 or p(1, 0) 8 incentive compatibility for buyer of type θ B = 1 not wanting to pretend to be θ B = 1: 1 p(1,0) + 1 p(1,9) 1 p(1,0) + p(1,9) (), (3) that 1 p(1, 0) + 1 9 + 0 or p(1, 0), which implies by (1),

(1) p(1, 9) 9 by individual rationality of the seller () p(1, 0) 1 by individual rationality of the buyer (3) p(1, 9) = 0 by individual rationality of both the buyer and the seller (4) p(1, 0) =? incentive compatibility for seller of type θ S = 0 not wanting to pretend to be θ S = 9: p(1,0) + p(1,0) p(1,9) + p(1,9), which implies by (1), (), (3) that p(1, 0) + 1 9 + 0 or p(1, 0) 8 incentive compatibility for buyer of type θ B = 1 not wanting to pretend to be θ B = 1: 1 p(1,0) + 1 p(1,9) 1 p(1,0) + p(1,9) (), (3) that 1 p(1, 0) + 1 9 + 0 or p(1, 0) So: p(1, 0) and p(1, 0) 8 - impossible!, which implies by (1),

Summary Private information about values: necessitates some inefficiencies in voluntary trade tension between incentives and efficiency Have you ever walked away from bargaining even when you initially thought a trade might have been possible?