Econ 430 Lecture 9: Games on Networks

Size: px
Start display at page:

Download "Econ 430 Lecture 9: Games on Networks"

Transcription

1 Alper Duman Izmir University Economics, May 10, 2013

2 Semi-Anonymous Graphical Games refer to games on networks in which agents observe what their neighbours do The number of agents taking a specific action matters; not the identities. Formally, a semi-anonymous game is a graphical game such that the payoff to a player i with a degree d i who chooses action x i is described by a function u di (x i, m) where m is the number of players in N i (g) taking action 1.

3 An agent taking action 1 contributes to a local public good. A player who has m neighbours take action 1 gets a payoff u di (x i, m) = f (x i + λm) c i where f is nondecreasing function, and λ > 0 and c > 0 are scalars.

4 A Couples Game ; playing tennis A player prefers to take action 1 if at least one neighbour takes action 1, otherwise prefers action 0. Thus u di (1, m) = 1 c if m 1 u di (1, 0) = c u di (0, m) = 0

5 A semi-anonymous graphical game exhibits strategic complements if it satisfies the property of increasing differences; that is for all d and m m u di (1, m) u di (0, m) u di (1, m ) u di (0, m ) A semi-anonymous graphical game exhibits strategic complements if it satisfies the property of increasing differences; that is for all d and m m u di (1, m) u di (0, m) u di (1, m ) u di (0, m )

6 The best-shot public goods game is one of strategic substitutes. If f is concave local public goods game is also one of strategic substitutes. Why? The couples game is one of strategic complements. Investing in higher education by observing neighbours.

7 Semi-anonymous graphical games with strategic complementarities always have a pure strategy equilibria. Semi-anonymous graphical games with strategic substitutes do not always have a pure strategy equilibrium, but they always have at least one equilibrium mixed strategies. Which one is more likely?

8 Bramoulle and Kranton -Local Public Goods game Instead of a discrete set of actions, the action x i is continuous. Players benefit from their own actions plus the actions of their neighbours with payoff described by u i (x i, x Ni (g)) = f (x i + j N i (g) x j) cx i where f is a continuously differentiable, strictly concave function and c > 0 is a cost parameter.

9 Interesting case occurs when f (0) > c > f (x) for some x; otherwise players contribute 0 or infinite. Let x be such that f (x ) = c. Any pure strategy eq. must have at least x produced in each player s neighbourhood. There are subsets called specialized equilibria in which some agents provide x and the others free-ride.

10 All equilibria in this public goods game are inefficient. They do not maximize total utility. Think of a dyad, the total production is x. which maximizes f (x) cx Overall societal utility is 2f (x) cx which has higher maximizer as f is concave.

11 Ballaster et. al. Quadratic Payoffs and Strategic Complementarities Let x i is the intensity or effort so that higher x i corresponds to greater action. A player i s payoff is described by u(x i, x i ) = a i x i b i 2 x i 2 + j i w ijx i x j where a i 0 and b i 0 are scalars and w ij is the weight that player i places on j s action.

12 If w ij > 0 then i and j s activities are strategic complements. The expression b i 2 x i 2 leads to diminishing returns to activity Take the derivative of u(x i, x i ) and equate to 0. Solution is x i = a i + w ij j i x j b i b i

13 Let g ij = w ij /b j and set g ii = 0. Then In vector terms x = α + gx where x is the nx1 vector of x i and α is the nx1 vector of a i /b i If a i = 0 for each i then g = gx, so that x is a unit right-hand eigenvector of g. Otherwise, x = (I g) 1 α

14 By substitution we also get x = k=0 g k α Both expressions have much to the centrality measures we have discussed. If we let a i = a and b i = b for all i, we obtain x = (I 1 b w) 1 a b I This looks familiar to Katz-prestige and Bonacich centralities Indeed we can write x = a b (I + PKatz (w, 1 b ))

Modeling Internet Security Investments Tackling Topological Information Uncertainty

Modeling Internet Security Investments Tackling Topological Information Uncertainty Modeling Internet Security Investments Tackling Topological Information Uncertainty Ranjan Pal Department of Computer Science University of Southern California, USA Joint Work with Pan Hui Deutsch Telekom

More information

Modeling Internet Security Investments

Modeling Internet Security Investments Modeling Internet Security Investments 1 The Case of Dealing with Information Uncertainty Ranjan Pal and Pan Hui University of Southern California, Deutsch Telekom Laboratories arxiv:1104.0594v1 [cs.cr]

More information

Individual security and network design

Individual security and network design Individual security and network design Diego Cerdeiro Marcin Dziubiński Sanjeev Goyal FIT 2015 Motivation Networks often face external threats in form of strategic or random attacks The attacks can be

More information

Game Theory: Supermodular Games 1

Game Theory: Supermodular Games 1 Game Theory: Supermodular Games 1 Christoph Schottmüller 1 License: CC Attribution ShareAlike 4.0 1 / 22 Outline 1 Introduction 2 Model 3 Revision questions and exercises 2 / 22 Motivation I several solution

More information

From the probabilities that the company uses to move drivers from state to state the next year, we get the following transition matrix:

From the probabilities that the company uses to move drivers from state to state the next year, we get the following transition matrix: MAT 121 Solutions to Take-Home Exam 2 Problem 1 Car Insurance a) The 3 states in this Markov Chain correspond to the 3 groups used by the insurance company to classify their drivers: G 0, G 1, and G 2

More information

Equilibrium computation: Part 1

Equilibrium computation: Part 1 Equilibrium computation: Part 1 Nicola Gatti 1 Troels Bjerre Sorensen 2 1 Politecnico di Milano, Italy 2 Duke University, USA Nicola Gatti and Troels Bjerre Sørensen ( Politecnico di Milano, Italy, Equilibrium

More information

ECON 40050 Game Theory Exam 1 - Answer Key. 4) All exams must be turned in by 1:45 pm. No extensions will be granted.

ECON 40050 Game Theory Exam 1 - Answer Key. 4) All exams must be turned in by 1:45 pm. No extensions will be granted. 1 ECON 40050 Game Theory Exam 1 - Answer Key Instructions: 1) You may use a pen or pencil, a hand-held nonprogrammable calculator, and a ruler. No other materials may be at or near your desk. Books, coats,

More information

21. Unverifiable Investment, Hold Up, Options and Ownership

21. Unverifiable Investment, Hold Up, Options and Ownership 21. Unverifiable Investment, Hold Up, Options and Ownership This chapter applies the tools of games with joint decisions and negotiation equilibrium to study the hold up problem in economics. We first

More information

Discrete Optimization

Discrete Optimization Discrete Optimization [Chen, Batson, Dang: Applied integer Programming] Chapter 3 and 4.1-4.3 by Johan Högdahl and Victoria Svedberg Seminar 2, 2015-03-31 Todays presentation Chapter 3 Transforms using

More information

Name. Final Exam, Economics 210A, December 2011 Here are some remarks to help you with answering the questions.

Name. Final Exam, Economics 210A, December 2011 Here are some remarks to help you with answering the questions. Name Final Exam, Economics 210A, December 2011 Here are some remarks to help you with answering the questions. Question 1. A firm has a production function F (x 1, x 2 ) = ( x 1 + x 2 ) 2. It is a price

More information

Richard Schmidtke: Private Provision of a Complementary Public Good

Richard Schmidtke: Private Provision of a Complementary Public Good Richard Schmidtke: Private Provision of a Complementary Public Good Munich Discussion Paper No. 2006-20 Department of Economics University of Munich Volkswirtschaftliche Fakultät Ludwig-Maximilians-Universität

More information

How To Analyze Security In A Network Of People

How To Analyze Security In A Network Of People Modeling Internet Security Investments Tackling Topological Information Uncertainty Ranjan Pal 1 and Pan Hui 2 1 University of Southern California, USA, rpal@usc.edu 2 Deutsch Telekom Laboratories, Berlin,

More information

Economics 1011a: Intermediate Microeconomics

Economics 1011a: Intermediate Microeconomics Lecture 12: More Uncertainty Economics 1011a: Intermediate Microeconomics Lecture 12: More on Uncertainty Thursday, October 23, 2008 Last class we introduced choice under uncertainty. Today we will explore

More information

Designing Incentives in Online Collaborative Environments 1

Designing Incentives in Online Collaborative Environments 1 Designing Incentives in Online Collaborative Environments 1 Yoram Bachrach, Vasilis Syrgkanis, and Milan Vojnović November 2012 Technical Report MSR-TR-2012-115 Microsoft Research Microsoft Corporation

More information

2. Information Economics

2. Information Economics 2. Information Economics In General Equilibrium Theory all agents had full information regarding any variable of interest (prices, commodities, state of nature, cost function, preferences, etc.) In many

More information

Summary of Doctoral Dissertation: Voluntary Participation Games in Public Good Mechanisms: Coalitional Deviations and Efficiency

Summary of Doctoral Dissertation: Voluntary Participation Games in Public Good Mechanisms: Coalitional Deviations and Efficiency Summary of Doctoral Dissertation: Voluntary Participation Games in Public Good Mechanisms: Coalitional Deviations and Efficiency Ryusuke Shinohara 1. Motivation The purpose of this dissertation is to examine

More information

2.2 Creaseness operator

2.2 Creaseness operator 2.2. Creaseness operator 31 2.2 Creaseness operator Antonio López, a member of our group, has studied for his PhD dissertation the differential operators described in this section [72]. He has compared

More information

How To Understand Network Security

How To Understand Network Security Network Security: an Economic Perspective Marc Lelarge (INRIA-ENS) currently visiting STANFORD TRUST seminar, Berkeley 2011. Threats and Vulnerabilities Attacks are exogenous Contribution (1) Optimal security

More information

COMPUTER SCIENCE. Department of Mathematics & Computer Science

COMPUTER SCIENCE. Department of Mathematics & Computer Science Department of Mathematics & Computer Science COMPUTER SCIENCE This document is meant as a planning guide only. Students are advised to consult with the Chair of the Department if they have specific questions

More information

Social and Economic Networks: Lecture 1, Networks?

Social and Economic Networks: Lecture 1, Networks? Social and Economic Networks: Lecture 1, Networks? Alper Duman Izmir University Economics, February 26, 2013 Conventional economics assume that all agents are either completely connected or totally isolated.

More information

System Reliability and Free Riding

System Reliability and Free Riding System Reliability and Free Riding Hal R. Varian University of California, Berkeley February 2001 This version: November 30, 2004. System reliability often depends on the effort of many individuals, making

More information

Working Paper Series

Working Paper Series RGEA Universidade de Vigo http://webs.uvigo.es/rgea Working Paper Series A Market Game Approach to Differential Information Economies Guadalupe Fugarolas, Carlos Hervés-Beloso, Emma Moreno- García and

More information

3. INNER PRODUCT SPACES

3. INNER PRODUCT SPACES . INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.

More information

2013 MBA Jump Start Program

2013 MBA Jump Start Program 2013 MBA Jump Start Program Module 2: Mathematics Thomas Gilbert Mathematics Module Algebra Review Calculus Permutations and Combinations [Online Appendix: Basic Mathematical Concepts] 2 1 Equation of

More information

R&D cooperation with unit-elastic demand

R&D cooperation with unit-elastic demand R&D cooperation with unit-elastic demand Georg Götz This draft: September 005. Abstract: This paper shows that R&D cooperation leads to the monopoly outcome in terms of price and quantity if demand is

More information

2.3 Convex Constrained Optimization Problems

2.3 Convex Constrained Optimization Problems 42 CHAPTER 2. FUNDAMENTAL CONCEPTS IN CONVEX OPTIMIZATION Theorem 15 Let f : R n R and h : R R. Consider g(x) = h(f(x)) for all x R n. The function g is convex if either of the following two conditions

More information

Cheap Talk : Multiple Senders and Multiple Receivers

Cheap Talk : Multiple Senders and Multiple Receivers Corso di Laurea in Economia indirizzo Models and Methods of Quantitative Economics Prova finale di Laurea Cheap Talk : Multiple Senders and Multiple Receivers Relatore Prof. Piero Gottardi Laureando Arya

More information

Notes V General Equilibrium: Positive Theory. 1 Walrasian Equilibrium and Excess Demand

Notes V General Equilibrium: Positive Theory. 1 Walrasian Equilibrium and Excess Demand Notes V General Equilibrium: Positive Theory In this lecture we go on considering a general equilibrium model of a private ownership economy. In contrast to the Notes IV, we focus on positive issues such

More information

Strategic environmental policy under free trade with transboundary pollution

Strategic environmental policy under free trade with transboundary pollution Strategic environmental policy under free trade with transboundary pollution Harvey E. Lapan Shiva Sikdar Iowa State University Yonsei University February 2010 JEL classification codes: F18, Q56, H23,

More information

Lecture 2: Consumer Theory

Lecture 2: Consumer Theory Lecture 2: Consumer Theory Preferences and Utility Utility Maximization (the primal problem) Expenditure Minimization (the dual) First we explore how consumers preferences give rise to a utility fct which

More information

Solutions Of Some Non-Linear Programming Problems BIJAN KUMAR PATEL. Master of Science in Mathematics. Prof. ANIL KUMAR

Solutions Of Some Non-Linear Programming Problems BIJAN KUMAR PATEL. Master of Science in Mathematics. Prof. ANIL KUMAR Solutions Of Some Non-Linear Programming Problems A PROJECT REPORT submitted by BIJAN KUMAR PATEL for the partial fulfilment for the award of the degree of Master of Science in Mathematics under the supervision

More information

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

UCLA. Department of Economics Ph. D. Preliminary Exam Micro-Economic Theory UCLA Department of Economics Ph. D. Preliminary Exam Micro-Economic Theory (SPRING 2011) Instructions: You have 4 hours for the exam Answer any 5 out of the 6 questions. All questions are weighted equally.

More information

ECO 199 B GAMES OF STRATEGY Spring Term 2004 PROBLEM SET 4 B DRAFT ANSWER KEY 100-3 90-99 21 80-89 14 70-79 4 0-69 11

ECO 199 B GAMES OF STRATEGY Spring Term 2004 PROBLEM SET 4 B DRAFT ANSWER KEY 100-3 90-99 21 80-89 14 70-79 4 0-69 11 The distribution of grades was as follows. ECO 199 B GAMES OF STRATEGY Spring Term 2004 PROBLEM SET 4 B DRAFT ANSWER KEY Range Numbers 100-3 90-99 21 80-89 14 70-79 4 0-69 11 Question 1: 30 points Games

More information

Money and Capital in an OLG Model

Money and Capital in an OLG Model Money and Capital in an OLG Model D. Andolfatto June 2011 Environment Time is discrete and the horizon is infinite ( =1 2 ) At the beginning of time, there is an initial old population that lives (participates)

More information

Bielefeld University Institute of Mathematical Economics (IMW) Master Thesis. Communication with Language Barriers

Bielefeld University Institute of Mathematical Economics (IMW) Master Thesis. Communication with Language Barriers Bielefeld University Institute of Mathematical Economics (IMW) Master Thesis Communication with Language Barriers by Christopher Gertz Supervised by Prof. Dr. Frank Riedel Matrikel-Nr: 775323 E-Mail: cgertz@uni-bielefeld.de

More information

Competing over Networks

Competing over Networks Competing over Networks Kostas Bimpikis Graduate School of Business, Stanford University, Stanford, CA 94305, kostasb@stanford.edu Asuman Ozdaglar Department of Electrical Engineering and Computer Science,

More information

University of Oslo Department of Economics

University of Oslo Department of Economics University of Oslo Department of Economics Exam: ECON3200/4200 Microeconomics and game theory Date of exam: Tuesday, November 26, 2013 Grades are given: December 17, 2013 Duration: 14:30-17:30 The problem

More information

Peer Pressure. June 28, 2008 Revised: April 18, 2009 Forthcoming in the Journal of the European Economic Association. Abstract

Peer Pressure. June 28, 2008 Revised: April 18, 2009 Forthcoming in the Journal of the European Economic Association. Abstract Peer Pressure Antoni Calvó-Armengol and Matthew O. Jackson June 28, 2008 Revised: April 18, 2009 Forthcoming in the Journal of the European Economic Association Abstract We present a model where agents

More information

Bargaining Solutions in a Social Network

Bargaining Solutions in a Social Network Bargaining Solutions in a Social Network Tanmoy Chakraborty and Michael Kearns Department of Computer and Information Science University of Pennsylvania Abstract. We study the concept of bargaining solutions,

More information

Economics of Insurance

Economics of Insurance Economics of Insurance In this last lecture, we cover most topics of Economics of Information within a single application. Through this, you will see how the differential informational assumptions allow

More information

How Bad is Forming Your Own Opinion?

How Bad is Forming Your Own Opinion? How Bad is Forming Your Own Opinion? David Bindel Jon Kleinberg Sigal Oren August, 0 Abstract A long-standing line of work in economic theory has studied models by which a group of people in a social network,

More information

Linear Programming. April 12, 2005

Linear Programming. April 12, 2005 Linear Programming April 1, 005 Parts of this were adapted from Chapter 9 of i Introduction to Algorithms (Second Edition) /i by Cormen, Leiserson, Rivest and Stein. 1 What is linear programming? The first

More information

How To Understand And Solve A Linear Programming Problem

How To Understand And Solve A Linear Programming Problem At the end of the lesson, you should be able to: Chapter 2: Systems of Linear Equations and Matrices: 2.1: Solutions of Linear Systems by the Echelon Method Define linear systems, unique solution, inconsistent,

More information

10 Evolutionarily Stable Strategies

10 Evolutionarily Stable Strategies 10 Evolutionarily Stable Strategies There is but a step between the sublime and the ridiculous. Leo Tolstoy In 1973 the biologist John Maynard Smith and the mathematician G. R. Price wrote an article in

More information

On the Interaction and Competition among Internet Service Providers

On the Interaction and Competition among Internet Service Providers On the Interaction and Competition among Internet Service Providers Sam C.M. Lee John C.S. Lui + Abstract The current Internet architecture comprises of different privately owned Internet service providers

More information

Inner Product Spaces

Inner Product Spaces Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and

More information

Application of Game Theory in Inventory Management

Application of Game Theory in Inventory Management Application of Game Theory in Inventory Management Rodrigo Tranamil-Vidal Universidad de Chile, Santiago de Chile, Chile Rodrigo.tranamil@ug.udechile.cl Abstract. Game theory has been successfully applied

More information

SUPPLEMENT TO DECENTRALIZED TRADING WITH PRIVATE INFORMATION : ONLINE APPENDIX (Econometrica, Vol. 82, No. 3, May 2014, 1055 1091)

SUPPLEMENT TO DECENTRALIZED TRADING WITH PRIVATE INFORMATION : ONLINE APPENDIX (Econometrica, Vol. 82, No. 3, May 2014, 1055 1091) Econometrica Supplementary Material SUPPLEMENT TO DECENTRALIZED TRADING WITH PRIVATE INFORMATION : ONLINE APPENDIX Econometrica, Vol. 82, No. 3, May 2014, 1055 1091) BY MIKHAIL GOLOSOV, GUIDO LORENZONI,

More information

Imperfect monitoring in communication networks

Imperfect monitoring in communication networks Journal of Economic Theory (00) www.elsevier.com/locate/jet Imperfect monitoring in communication networks Michael McBride University of California, Irvine, Social Science Plaza, Irvine, CA -00, USA Received

More information

How to Solve Strategic Games? Dominant Strategies

How to Solve Strategic Games? Dominant Strategies How to Solve Strategic Games? There are three main concepts to solve strategic games: 1. Dominant Strategies & Dominant Strategy Equilibrium 2. Dominated Strategies & Iterative Elimination of Dominated

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics Course 111: Algebra I Part IV: Vector Spaces Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are

More information

Chapter 7. Sealed-bid Auctions

Chapter 7. Sealed-bid Auctions Chapter 7 Sealed-bid Auctions An auction is a procedure used for selling and buying items by offering them up for bid. Auctions are often used to sell objects that have a variable price (for example oil)

More information

The Stability and Efficiency of Economic and Social Networks

The Stability and Efficiency of Economic and Social Networks The Stability and Efficiency of Economic and Social Networks Matthew O. Jackson March 2001 Revision: June 18, 2001 Forthcoming in Advances in Economic Design, edited by Murat Sertel Abstract This paper

More information

Linear Programming. March 14, 2014

Linear Programming. March 14, 2014 Linear Programming March 1, 01 Parts of this introduction to linear programming were adapted from Chapter 9 of Introduction to Algorithms, Second Edition, by Cormen, Leiserson, Rivest and Stein [1]. 1

More information

The Basics of Game Theory

The Basics of Game Theory Sloan School of Management 15.010/15.011 Massachusetts Institute of Technology RECITATION NOTES #7 The Basics of Game Theory Friday - November 5, 2004 OUTLINE OF TODAY S RECITATION 1. Game theory definitions:

More information

Infinitely Repeated Games with Discounting Ù

Infinitely Repeated Games with Discounting Ù Infinitely Repeated Games with Discounting Page 1 Infinitely Repeated Games with Discounting Ù Introduction 1 Discounting the future 2 Interpreting the discount factor 3 The average discounted payoff 4

More information

Security decision-making among interdependent organizations

Security decision-making among interdependent organizations Security decision-making among interdependent organizations R. Ann Miura-Ko, Benjamin Yolken, John Mitchell, and Nicholas Bambos Stanford University Abstract In various settings, such as when customers

More information

Adaptive Online Gradient Descent

Adaptive Online Gradient Descent Adaptive Online Gradient Descent Peter L Bartlett Division of Computer Science Department of Statistics UC Berkeley Berkeley, CA 94709 bartlett@csberkeleyedu Elad Hazan IBM Almaden Research Center 650

More information

Profit Loss in Cournot Oligopolies

Profit Loss in Cournot Oligopolies Profit Loss in Cournot Oligopolies John N. Tsitsiklis and Yunjian Xu Abstract We consider a Cournot oligopoly model where multiple suppliers (oligopolists) compete by choosing quantities. We compare the

More information

Vector and Matrix Norms

Vector and Matrix Norms Chapter 1 Vector and Matrix Norms 11 Vector Spaces Let F be a field (such as the real numbers, R, or complex numbers, C) with elements called scalars A Vector Space, V, over the field F is a non-empty

More information

9.1 Cournot and Bertrand Models with Homogeneous Products

9.1 Cournot and Bertrand Models with Homogeneous Products 1 Chapter 9 Quantity vs. Price Competition in Static Oligopoly Models We have seen how price and output are determined in perfectly competitive and monopoly markets. Most markets are oligopolistic, however,

More information

Working Paper Does retailer power lead to exclusion?

Working Paper Does retailer power lead to exclusion? econstor www.econstor.eu Der Open-Access-Publikationsserver der ZBW Leibniz-Informationszentrum Wirtschaft The Open Access Publication Server of the ZBW Leibniz Information Centre for Economics Rey, Patrick;

More information

Applications to Data Smoothing and Image Processing I

Applications to Data Smoothing and Image Processing I Applications to Data Smoothing and Image Processing I MA 348 Kurt Bryan Signals and Images Let t denote time and consider a signal a(t) on some time interval, say t. We ll assume that the signal a(t) is

More information

Dynamics. Basilio Bona. DAUIN-Politecnico di Torino. Basilio Bona (DAUIN-Politecnico di Torino) Dynamics 2009 1 / 30

Dynamics. Basilio Bona. DAUIN-Politecnico di Torino. Basilio Bona (DAUIN-Politecnico di Torino) Dynamics 2009 1 / 30 Dynamics Basilio Bona DAUIN-Politecnico di Torino 2009 Basilio Bona (DAUIN-Politecnico di Torino) Dynamics 2009 1 / 30 Dynamics - Introduction In order to determine the dynamics of a manipulator, it is

More information

Competition for Order Flow as a Coordination Game

Competition for Order Flow as a Coordination Game Competition for Order Flow as a Coordination Game Jutta Dönges and Frank Heinemann Goethe Universität Frankfurt No. 64 January 25, 21 ISSN 1434-341 Authors addresses: Frank Heinemann Jutta Dönges Goethe

More information

Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets

Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets Nathaniel Hendren January, 2014 Abstract Both Akerlof (1970) and Rothschild and Stiglitz (1976) show that

More information

Jim Lambers MAT 169 Fall Semester 2009-10 Lecture 25 Notes

Jim Lambers MAT 169 Fall Semester 2009-10 Lecture 25 Notes Jim Lambers MAT 169 Fall Semester 009-10 Lecture 5 Notes These notes correspond to Section 10.5 in the text. Equations of Lines A line can be viewed, conceptually, as the set of all points in space that

More information

Cooperation with Network Monitoring

Cooperation with Network Monitoring Cooperation with Network Monitoring Alexander Wolitzky Microsoft Research and Stanford University July 20 Abstract This paper studies the maximum level of cooperation that can be sustained in sequential

More information

Week 1: Functions and Equations

Week 1: Functions and Equations Week 1: Functions and Equations Goals: Review functions Introduce modeling using linear and quadratic functions Solving equations and systems Suggested Textbook Readings: Chapter 2: 2.1-2.2, and Chapter

More information

Universidad de Montevideo Macroeconomia II. The Ramsey-Cass-Koopmans Model

Universidad de Montevideo Macroeconomia II. The Ramsey-Cass-Koopmans Model Universidad de Montevideo Macroeconomia II Danilo R. Trupkin Class Notes (very preliminar) The Ramsey-Cass-Koopmans Model 1 Introduction One shortcoming of the Solow model is that the saving rate is exogenous

More information

Inner Product Spaces and Orthogonality

Inner Product Spaces and Orthogonality Inner Product Spaces and Orthogonality week 3-4 Fall 2006 Dot product of R n The inner product or dot product of R n is a function, defined by u, v a b + a 2 b 2 + + a n b n for u a, a 2,, a n T, v b,

More information

Table of Contents MICRO ECONOMICS

Table of Contents MICRO ECONOMICS economicsentrance.weebly.com Basic Exercises Micro Economics AKG 09 Table of Contents MICRO ECONOMICS Budget Constraint... 4 Practice problems... 4 Answers... 4 Supply and Demand... 7 Practice Problems...

More information

Cost Minimization and the Cost Function

Cost Minimization and the Cost Function Cost Minimization and the Cost Function Juan Manuel Puerta October 5, 2009 So far we focused on profit maximization, we could look at a different problem, that is the cost minimization problem. This is

More information

Math 265 (Butler) Practice Midterm II B (Solutions)

Math 265 (Butler) Practice Midterm II B (Solutions) Math 265 (Butler) Practice Midterm II B (Solutions) 1. Find (x 0, y 0 ) so that the plane tangent to the surface z f(x, y) x 2 + 3xy y 2 at ( x 0, y 0, f(x 0, y 0 ) ) is parallel to the plane 16x 2y 2z

More information

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear

More information

Manipulability of the Price Mechanism for Data Centers

Manipulability of the Price Mechanism for Data Centers Manipulability of the Price Mechanism for Data Centers Greg Bodwin 1, Eric Friedman 2,3,4, and Scott Shenker 3,4 1 Department of Computer Science, Tufts University, Medford, Massachusetts 02155 2 School

More information

1 Lecture: Integration of rational functions by decomposition

1 Lecture: Integration of rational functions by decomposition Lecture: Integration of rational functions by decomposition into partial fractions Recognize and integrate basic rational functions, except when the denominator is a power of an irreducible quadratic.

More information

Valuation of American Options

Valuation of American Options Valuation of American Options Among the seminal contributions to the mathematics of finance is the paper F. Black and M. Scholes, The pricing of options and corporate liabilities, Journal of Political

More information

Computational Learning Theory Spring Semester, 2003/4. Lecture 1: March 2

Computational Learning Theory Spring Semester, 2003/4. Lecture 1: March 2 Computational Learning Theory Spring Semester, 2003/4 Lecture 1: March 2 Lecturer: Yishay Mansour Scribe: Gur Yaari, Idan Szpektor 1.1 Introduction Several fields in computer science and economics are

More information

Secure or Insure? Analyzing Network Security Games with Externalities

Secure or Insure? Analyzing Network Security Games with Externalities Secure or Insure? Analyzing Network Security Games with Externalities Nicolas Christin Carnegie Mellon University, CyLab & INI Collaborators John Chuang (UC Berkeley), Jens Grossklags (Penn State), Benjamin

More information

The Characteristic Polynomial

The Characteristic Polynomial Physics 116A Winter 2011 The Characteristic Polynomial 1 Coefficients of the characteristic polynomial Consider the eigenvalue problem for an n n matrix A, A v = λ v, v 0 (1) The solution to this problem

More information

Convex analysis and profit/cost/support functions

Convex analysis and profit/cost/support functions CALIFORNIA INSTITUTE OF TECHNOLOGY Division of the Humanities and Social Sciences Convex analysis and profit/cost/support functions KC Border October 2004 Revised January 2009 Let A be a subset of R m

More information

Definition and Properties of the Production Function: Lecture

Definition and Properties of the Production Function: Lecture Definition and Properties of the Production Function: Lecture II August 25, 2011 Definition and : Lecture A Brief Brush with Duality Cobb-Douglas Cost Minimization Lagrangian for the Cobb-Douglas Solution

More information

Compact Representations and Approximations for Compuation in Games

Compact Representations and Approximations for Compuation in Games Compact Representations and Approximations for Compuation in Games Kevin Swersky April 23, 2008 Abstract Compact representations have recently been developed as a way of both encoding the strategic interactions

More information

Hello, my name is Olga Michasova and I present the work The generalized model of economic growth with human capital accumulation.

Hello, my name is Olga Michasova and I present the work The generalized model of economic growth with human capital accumulation. Hello, my name is Olga Michasova and I present the work The generalized model of economic growth with human capital accumulation. 1 Without any doubts human capital is a key factor of economic growth because

More information

Discrete Mathematics: Homework 7 solution. Due: 2011.6.03

Discrete Mathematics: Homework 7 solution. Due: 2011.6.03 EE 2060 Discrete Mathematics spring 2011 Discrete Mathematics: Homework 7 solution Due: 2011.6.03 1. Let a n = 2 n + 5 3 n for n = 0, 1, 2,... (a) (2%) Find a 0, a 1, a 2, a 3 and a 4. (b) (2%) Show that

More information

Adverse Selection and the Market for Health Insurance in the U.S. James Marton

Adverse Selection and the Market for Health Insurance in the U.S. James Marton Preliminary and Incomplete Please do not Quote Adverse Selection and the Market for Health Insurance in the U.S. James Marton Washington University, Department of Economics Date: 4/24/01 Abstract Several

More information

SOLUTIONS TO ASSIGNMENT 1 MATH 576

SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS BY OLIVIER MARTIN 13 #5. Let T be the topology generated by A on X. We want to show T = J B J where B is the set of all topologies J on X with A J. This amounts

More information

Technology platforms, such as Microsoft Windows, are the hubs of technology industries. We develop a

Technology platforms, such as Microsoft Windows, are the hubs of technology industries. We develop a MANAGEMENT SCIENCE Vol. 52, No. 7, July 2006, pp. 1057 1071 issn 0025-1909 eissn 1526-5501 06 5207 1057 informs doi 10.1287/mnsc.1060.0549 2006 INFORMS Two-Sided Competition of Proprietary vs. Open Source

More information

Lecture 05: Mean-Variance Analysis & Capital Asset Pricing Model (CAPM)

Lecture 05: Mean-Variance Analysis & Capital Asset Pricing Model (CAPM) Lecture 05: Mean-Variance Analysis & Capital Asset Pricing Model (CAPM) Prof. Markus K. Brunnermeier Slide 05-1 Overview Simple CAPM with quadratic utility functions (derived from state-price beta model)

More information

Torgerson s Classical MDS derivation: 1: Determining Coordinates from Euclidean Distances

Torgerson s Classical MDS derivation: 1: Determining Coordinates from Euclidean Distances Torgerson s Classical MDS derivation: 1: Determining Coordinates from Euclidean Distances It is possible to construct a matrix X of Cartesian coordinates of points in Euclidean space when we know the Euclidean

More information

Secure or Insure? A Game-Theoretic Analysis of Information Security Games

Secure or Insure? A Game-Theoretic Analysis of Information Security Games Secure or Insure? A Game-Theoretic Analysis of Information Security Games Jens Grossklags UC Berkeley School of Information Berkeley, CA 94720 jensg@ischool.berkeley.edu Nicolas Christin Carnegie Mellon

More information

Price competition with homogenous products: The Bertrand duopoly model [Simultaneous move price setting duopoly]

Price competition with homogenous products: The Bertrand duopoly model [Simultaneous move price setting duopoly] ECON9 (Spring 0) & 350 (Tutorial ) Chapter Monopolistic Competition and Oligopoly (Part ) Price competition with homogenous products: The Bertrand duopoly model [Simultaneous move price setting duopoly]

More information

October 3rd, 2012. Linear Algebra & Properties of the Covariance Matrix

October 3rd, 2012. Linear Algebra & Properties of the Covariance Matrix Linear Algebra & Properties of the Covariance Matrix October 3rd, 2012 Estimation of r and C Let rn 1, rn, t..., rn T be the historical return rates on the n th asset. rn 1 rṇ 2 r n =. r T n n = 1, 2,...,

More information

Least-Squares Intersection of Lines

Least-Squares Intersection of Lines Least-Squares Intersection of Lines Johannes Traa - UIUC 2013 This write-up derives the least-squares solution for the intersection of lines. In the general case, a set of lines will not intersect at a

More information

No-Betting Pareto Dominance

No-Betting Pareto Dominance No-Betting Pareto Dominance Itzhak Gilboa, Larry Samuelson and David Schmeidler HEC Paris/Tel Aviv Yale Interdisciplinary Center Herzlyia/Tel Aviv/Ohio State May, 2014 I. Introduction I.1 Trade Suppose

More information

Lecture 15. Ranking Payoff Distributions: Stochastic Dominance. First-Order Stochastic Dominance: higher distribution

Lecture 15. Ranking Payoff Distributions: Stochastic Dominance. First-Order Stochastic Dominance: higher distribution Lecture 15 Ranking Payoff Distributions: Stochastic Dominance First-Order Stochastic Dominance: higher distribution Definition 6.D.1: The distribution F( ) first-order stochastically dominates G( ) if

More information

1 Sets and Set Notation.

1 Sets and Set Notation. LINEAR ALGEBRA MATH 27.6 SPRING 23 (COHEN) LECTURE NOTES Sets and Set Notation. Definition (Naive Definition of a Set). A set is any collection of objects, called the elements of that set. We will most

More information

Nonlinear Programming Methods.S2 Quadratic Programming

Nonlinear Programming Methods.S2 Quadratic Programming Nonlinear Programming Methods.S2 Quadratic Programming Operations Research Models and Methods Paul A. Jensen and Jonathan F. Bard A linearly constrained optimization problem with a quadratic objective

More information

Biform Games: Additional Online Material

Biform Games: Additional Online Material Biform Games: Additional Online Material Adam Brandenburger Harborne Stuart July 2006 These appendices supplement Brandenburger and Stuart [1, 2006], [2, 2006] ( Biform Games ). Appendix C uses the efficiency

More information