Game Theory Solutions to Problem Set 11

Similar documents
Auction Theory Lecture Note, David McAdams, Fall Bilateral Trade

Optimal auctions with endogenous budgets

Online Appendix for The E ect of Diversi cation on Price Informativeness and Governance

Auction Theory. Philip Selin. U.U.D.M. Project Report 2016:27. Department of Mathematics Uppsala University

Discriminatory Information Disclosure

The FedEx Problem (Working Paper)

Microeconomic Theory (501b) Comprehensive Exam

EC202. Microeconomic Principles II. Summer 2009 examination. 2008/2009 syllabus

Informative advertising under duopoly

ECON Micro Foundations

Price Discrimination As Portfolio Diversification. Abstract

Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market

Quality, Upgrades and Equilibrium in a Dynamic Monopoly Market

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

Exercise List 2: Market Failure

All-pay auctions with risk-averse players

Reference Dependence Lecture 3

Practice Problems. U(w, e) = p w e 2,

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

Homework 3. Due: Mon 9th December

All-Pay Auctions with Risk-Averse Players

Problem Set 3: Suggested Solutions

EconS Games with Incomplete Information II and Auction Theory

Lecture 3: Information in Sequential Screening

Bayesian Mechanism Design for Budget-Constrained Agents

1 Theory of Auctions. 1.1 Independent Private Value Auctions

Auction Theory - An Introduction

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Spring, 2013

General Examination in Microeconomic Theory SPRING 2014

Recap First-Price Revenue Equivalence Optimal Auctions. Auction Theory II. Lecture 19. Auction Theory II Lecture 19, Slide 1

Homework 3: Asymmetric Information

Strategy -1- Strategy

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

Macroeconomics 4 Notes on Diamond-Dygvig Model and Jacklin

Strategy -1- Strategic equilibrium in auctions

Quality Upgrades and (the Loss of) Market Power in a Dynamic Monopoly Model

Francesco Nava Microeconomic Principles II EC202 Lent Term 2010

Project Selection: Commitment and Competition

EC476 Contracts and Organizations, Part III: Lecture 3

Experiments on Auctions

Optimal Auctions with Ambiguity

Up till now, we ve mostly been analyzing auctions under the following assumptions:

Dynamic games with incomplete information

Practice Problems 1: Moral Hazard

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

Search, Welfare and the Hot Potato E ect of In ation

Microeconomics II Lecture 8: Bargaining + Theory of the Firm 1 Karl Wärneryd Stockholm School of Economics December 2016

Hurdle Rates and Project Development Efforts. Sunil Dutta University of California, Berkeley Qintao Fan University of California, Berkeley

6.254 : Game Theory with Engineering Applications Lecture 3: Strategic Form Games - Solution Concepts

Expected Utility and Risk Aversion

Some Notes on Timing in Games

A Multitask Model without Any Externalities

Exercises - Moral hazard

Handout on Rationalizability and IDSDS 1

Lecture Notes 1

Practice Problems 2: Asymmetric Information

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average)

WORKING PAPER NO OPTIMAL MONETARY POLICY IN A MODEL OF MONEY AND CREDIT. Pedro Gomis-Porqueras Australian National University

Answer: Let y 2 denote rm 2 s output of food and L 2 denote rm 2 s labor input (so

Games of Incomplete Information ( 資訊不全賽局 ) Games of Incomplete Information

Measuring the Wealth of Nations: Income, Welfare and Sustainability in Representative-Agent Economies

Bounding the bene ts of stochastic auditing: The case of risk-neutral agents w

Lecture 5. Varian, Ch. 8; MWG, Chs. 3.E, 3.G, and 3.H. 1 Summary of Lectures 1, 2, and 3: Production theory and duality

SOLUTION PROBLEM SET 3 LABOR ECONOMICS

1. If the consumer has income y then the budget constraint is. x + F (q) y. where is a variable taking the values 0 or 1, representing the cases not

The role of asymmetric information

Bailouts, Time Inconsistency and Optimal Regulation

Introduction to Economics I: Consumer Theory

1 Rational Expectations Equilibrium

Problem Set 2 Answers

Financial Fragility and the Exchange Rate Regime Chang and Velasco JET 2000 and NBER 6469

Professor Rachel Kranton University of Maryland Econ 413 Fall Adverse Selection in Insurance Answers to Problems

Product Di erentiation: Exercises Part 1

Advanced Macroeconomics I ECON 525a - Fall 2009 Yale University

Lectures on Trading with Information Competitive Noisy Rational Expectations Equilibrium (Grossman and Stiglitz AER (1980))

EC202. Microeconomic Principles II. Summer 2011 Examination. 2010/2011 Syllabus ONLY

NBER WORKING PAPER SERIES BIDDING WITH SECURITIES: AUCTIONS AND SECURITY DESIGN. Peter M. DeMarzo Ilan Kremer Andrzej Skrzypacz

Consider the following (true) preference orderings of 4 agents on 4 candidates.

ECON Financial Economics

CESifo Working Paper Series

Microeconomics 3. Economics Programme, University of Copenhagen. Spring semester Lars Peter Østerdal. Week 17

Auctions 1: Common auctions & Revenue equivalence & Optimal mechanisms. 1 Notable features of auctions. use. A lot of varieties.

EXTRA PROBLEMS. and. a b c d

Lecture 6 Applications of Static Games of Incomplete Information

Optimal Auctions with Participation Costs

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

Topics in Contract Theory Lecture 3

Robust Trading Mechanisms with Budget Surplus and Partial Trade

Mechanism Design and Auctions

A Mechanism-Design Approach to Speculative Trade

5. COMPETITIVE MARKETS

EconS Micro Theory I Recitation #8b - Uncertainty II

Practice Problems. w U(w, e) = p w e 2,

Optimal Auctions with Ambiguity

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

Topics in Contract Theory Lecture 5. Property Rights Theory. The key question we are staring from is: What are ownership/property rights?

Dynamic matching and bargaining games: A general approach

Coordination and Bargaining Power in Contracting with Externalities

Moral Hazard Example. 1. The Agent s Problem. contract C = (w, w) that offers the same wage w regardless of the project s outcome.

Problem Set 5 Answers

Transcription:

Game Theory Solutions to Problem Set. A seller owns an object that a buyer wants to buy. The alue of the object to the seller is c: The alue of the object to the buyer is priate information. The buyer s aluation is a random ariable distributed oer the interal [; V ] according to the (continuous) c.d.f. F: Assume that [ F ()] f () is a decreasing function of : The on Neumann-Morgenstern utility of a type from getting a unit at price p is p and the utility of no purchase in : (i) Suppose the seller is constrained to charge just one price. Show that the pro t maximizing price satis es p c + [ F (p)] f (p) : (ii) Suppose that the seller can commit to a menu of o ers [q () ; p ()] ; where q () is the probability with which a consumer who chooses o er will get a unit, and p () is the consumer s (expected) payment. Proe that the menu that maximizes the seller s pro t consists of a single price, which is the one found in (i), and that any buyer can get the good at this price with probability : (i)the seller problem is to choose a price p [; V ] to maximize: (p) [ F (p)](p c) (P) Notice that (p) is di erentiable (thus continuous) and [; V ] is compact. c () < (V ): Thus, the any solution is interior and requires: Thus: (p ) f(p )(p c) + [ F (p )] F (p p ) c f(p ) Furthermore, The LHS of () is a strictly increasing function of p while the RHS of () is decreasing (by assumption), thus the solution is unique. (ii) The seller problem is to choose a menu fq(); p()g ; ( where p : [; V ]! < and q : [; V ]! [; ] ) to maximize: ()

8 < s:t: : : R V max fq();p()g [p() q()c]f()d U() q() p() q( ) p( ) for all (; ) [; V ] U() for all [; V ] q nondecreasing Using the results presented in the lectures we know that U () q(): Substituting into the IC and imposing U() we hae U() R q(~)d~: Thus: p() q() Z Substituting into P we hae the following problem: (P) q(~)d~ () max q()[;] q nondecreasing Integrating (3) by parts we hae: [q() Z q(~)d~ q()c]f()d (3) By assumption h F () f() [q() Z q(~)d~ q()( c)d + q()( q() c)d c Z q()c]f()d q() [ F () f() q(~)d~d( F ()] d f()d F ()) i is decreasing. Thus there is a unique (; V ) such that c F ()?,? f() Thus pointwise maximization implies: if q () if < Notice that q is obiously nondecreasing, what guarantees the optimality of the presented solution. Finally, () implies that the price paid by all types that obtain the object is :. Consider the following auction enironment. A seller has a single object for sale and can commit to any selling mechanism (the seller s aluation of the object is zero). There are two potential bidders, indexed by i ; : The aluation of the object

of bidder i ; is denoted by i and is distributed uniformly oer the unit interal. Valuations are independent between the two bidders. Bidder knows her own aluation : Howeer, bidder does not know. The bidders payo s are as follows. Suppose bidder i ; has type i and pays the amount t i to the seller. Her payo is equal to i t i if she gets the object, and equal to t i otherwise. (i) Construct the optimal direct mechanism for the seller (i.e., nd the incentie compatible, indiidually rational mechanism that maximizes the seller s expected reenues). Compute the seller s reenues. (ii) Can you nd a simple indirect mechanism that gies to the seller the same expected reenues as the optimal direct mechanism? i) From the fact that bidders are risk-neutral bidder behaes as if his aluation were : The expected reenues of the seller are: F ( ) Q ( ) + Q ( ) f( )d : (4) f( ) Using the fact that F () (4) can be rewritten as: Q ( ) ( ) + Q ( ) f( )d (5) Maximizing (5) pointwise subject to Q i ( ) ; Q ( )+ Q ( ) we obtain: Q ( ) if > 3 4 otherwise Q ( ) Q ( ) The solution is clearly nondecreasing. Finally notice that T ( ) 3 4 f > : In order to 3 4g calculate T just notice that bidder will obtain no rent. Thus: T Pr (Q ) 3 4 3 : 8 ii) Indirect Mechanism: ask a price of 3 to bidder and to bidder. Sell to only if 4 refuses to pay the price. 3. A seller has a unit for sale. Its quality is either high (H) or low (L) : The quality is known to the seller but not to the buyer, whose prior probability that the quality is high is : Their aluations of the unit are as follows. Quality H Quality L Buyer V Seller 7 3 (6)

where V > 7: Thus, the utility to the buyer of getting the unit at price p is p if it is of the low quality, and V p if it is of the high quality. Similarly, the utility to the seller is p and p 7; respectiely. (i) Find the ex-post e cient outcomes. (ii) Identify the range of V (aboe 7) for which there is, and the range of V for which there is no incentie compatible, indiidual rational mechanism that will achiee the ex-post e cient outcome. (iii) Describe the best outcome (in the maximizing of the sum of expected utilities) that can be achieed for each V (aboe 7) and the mechanism that achiees it. HINT: A mechanism for this Bayesian bargaining problem consists of a pair of functions q : fl; Hg! [; ] and t : fl; Hg! R; where q (i) is the probability that the object will be sold to the buyer and t (i) is the expected net payment from the buyer to the seller if i L; H is the type reported by the seller to a mediator. i) Ex-post e ciency means that in eery state the party that alues more the good, the buyer, always obtains the object. ii) Since the object should always go to the buyer, the transfer made from the buyer to the seller, T; should be independent of the state (from IC). From (IR) T has to be as least 7:We now check under what alues of V there exists a transfer greater than 7 satisfying the (IR) of the buyer. We need: V + 7, V Thus we need V : iii) We will nd the best menu: fp (L); T (L); P (H); T (H)g where P (L) (P (H)) is the probability that the seller keeps the object when he reports low (high) aluation and T (L) (T (H)) is the transfer that the seller receies from the buyer when he reports low (high) aluation. We need to check the following constraints for the seller: and only the rationality from the buyer: P (H)7 + T (H) P (L)7 + T (L) (ICHS) T (L) T (H) (ICLS) P (H)7 + T (H) 7 (IRHS) T (L) (IRLS) ( P (H))V + ( P (L)) (IRB) Thus, we can set up surplus maximization: problem 4

max P (H);P (L)[;] T (L);T (H) 8 < s:t: : : ( P (H)) (V 7) + ( P (L)) T (L) T (H). P (H)7 + T (H) 7 ( P (H))V + ( P (L)) T (L) T (H) Notice that if V we are in (ii), then we assume V (7; ) :This problem can be easily soled by KT techniques. Rather, we gie a somewhat more informal deriation using obserations (a),(b), (c) and (d) below: (a) P (L) : This follows because both the objectie function and (IRB) are strictly decreasing in P (L). Thus, from (ii) we know that in any solution we need P (H) > : (b) T (L) T (H): Otherwise one can increase T (H) by ", decrease T (L) by " and decrease P (H) by " : For " small enough this is feasible and increases the objectie function. 7 (c)p (H)7 + T (H) 7: Otherwise P (H) can be decreased by some small "; what increases the alue the objectie function. (d)( P (H))V + T (L) T (H) : Otherwise we can increase both T (L) and T (H) by some small " and decrease P (H) by ", what increases the alue the objectie function. 7 From (b) to (d) we 3 equations and 3 unknowns. Soling the system we hae: T H T H 4 V ; P (H) : From (a) P (L) : 4 V 4 V 4. A seller owns an object that a buyer wants to buy. The quality of the object is a random ariable ; with support [; ] and distribution function F () ; where > : The seller knows the quality of the object but the buyer does not. When the quality of the object is ; the alue of the object is to the seller and z to the buyer, where z >. Thus, if the object of quality is traded at price p; the seller gets p and the buyer gets z p. Both players hae utility equal to zero if there is no trade. Consider the function G : (; )(; )! [; ] de ned as follows. For each pair (; z) construct the incentie-compatible indiidually rational mechanism that maximizes the (ex-ante) probability of trade. Denote this probability by G (; z) : Derie the function G: (N.B. If the probability of trade is q () when the quality is ; then the (ex-ante) probability of trade is equal to R q () df () : Let q() be the probability of trade gien and t() the payment from the buyer to the seller gien : The seller (IC), the seller (IR) and the buyer (IR) are respectiely: t() q() t( ) q( ) (ICS) U() t() q() (IRS) 5

(zq() t()) f ()d (IRB) where f () : Notice that (ICS) and (IRS) immediately imply that if U() then U() for all : Furthermore usual analysis implies U () q() and q() nonincreasing. From (IRS) we hae; Thus: U() q(x)dx + U() t() q() + Substituting (7) into (IRB) we hae: zq() q() From (8) we can set U() : Integrating by parts we hae: q(x)dx + U() (7) q(x)dx U() f ()d (8) q(x)dxf ()d q(x)dxdf () (9) q()f ()d q() d Substituting (9) into (8) we hae: q() z q() z f ()d f ()d + Thus if z which holds i z we hae q() for eery ; otherwise q() for eery : Therefore the probability of trade is: if z + G (; z) otherwise 6