Temptation and Self-control

Size: px
Start display at page:

Download "Temptation and Self-control"

Transcription

1 Temptation and Self-control Frank Gul & Wolfgang Pesendorfer Econometrica, 2001, 69(6),

2 1. Introduction In the morning, an agent want to decide what to eat at lunch, a vegetarian dish ( x ) or a hamburger ( y ); At lunch time, such an agent is craving for hamburger. In order to lessen such impacts, she may limit the options at lunch time; She may choose a vegetarian restaurant or if not possible, she will exercise self-control to choose vegetarian meal when facing the option of a hamburger.

3 x y Consumption point a vegetarian dish a hamburger? x y x, y T Morning Afternoon The singleton sets x & y : committed to choose only one of them; x, y : choosing between two elements, x & y.

4 No choice: x {y}; Alternative y is tempting if it is on the menu: x {x, y}; Succumbing to temptation: y {x, y}; Self-control at x, y : x, y {y}; Temptation preference with self-control: x {x, y} {y}; temptation self control

5 Preference presentation with self-control: U A max u x x A utility under commitment [max y A v y v x ] cost of self control u & v : von Neumann-Morgenstern utility functions over lotteries. u : agent s commitment ranking (the ranking of singleton set) over lotteries; v : agent s temptation ranking over lotteries(the urges in period 2); Agent chooses a lottery to maximize U A

6 Preference presentation without self-control: U A max x A u x Subject to, v x v y, for y A. The agent gives in to her temptation, i.e., choosing the lottery to maximize v, but evaluates these choices by using u.

7 Extended preference Combination of choice behavior in periods 1 and 2; For example (the self-control preference): U A, x u x + v x max y A v y In period 2, given the choice A in period 1, the relation induces a preference over lotteries x A to maximize U A, ; In period 1, the agent evaluates sets anticipating her choice in the second period and agent chooses A to max x A {u x + v x } max y A v y ;

8 Related literature Strotz (1955): preferences are dynamically inconsistent; benefits of commitment are from strategic behaviors; based on the situation where all selves are better off, welfare comparison are allowed. This paper: preferences are dynamically consistent; Set betweenness accommodates temptation and the desire for commitment to the dynamically consistent preferences; Temptation without self-control model has the same behavioral implications as Strotz (1995); When ex ante undesirable temptations are not allowed, the decision-maker is unambiguously better off.

9 Related literature Kreps (1979): This paper follows Kreps (1979) by studying the preferences over alternatives. Dekel et al, (2001): This paper follows Dekel et al, (2001) by modeling the set of alternatives as lotteries and utilizing the resulting linear structure by imposing von Neumann-Morgenstern axioms.

10 2. A model of self-control

11 2. A model of self-control Here αa + 1 α C {z = αx + 1 α y: x A&y C} Remark: Axiom 3 can be interpreted as: the occurrence of C should not interfere with the preference for A over B.

12 2. A model of self-control For the standard decision-maker: Axioms 1-3 are satisfied; His only interest is the best element of a set, i.e., A B A A B Utility presentation: U A max x A u x

13 2. A model of self-control The preference of decision-maker featured with temptation with self-control satisfies Axioms 1-4.

14 2. A model of self-control x A y z B (choice of B) (choice of A) (most tempting) A A B A B B

15 2. A model of self-control Remarks on Axiom 4: Axiom 4 is an implication of temptation, which is utility decreasing; Further assumptions: Lotteries can be ranked according to how tempting they are; Only the most tempting option available affects the agent s utility;

16 2. A model of self-control Violation of Set Betweenness (excluded by this paper): larger sets leading to greater temptation, i.e., A B A B Randomization of temptation (depending on the commitment ranking): A = x(0.5), y(0.5), B = z(0.5), w(0.5), A B = {w, x(0.5), y, z(0.5)} A B A, A B B, A A B, B A B

17 2. A model of self-control

18 2. A model of self-control Remarks: A singleton set presents the case where the agent commits in period 1 to a consumption choice in period 2; u presents the commitment ranking of lotteries and refer to u(x) as the commitment utility of choice x; v presents the temptation ranking of lotteries and v x max v y as the disutility of self-control; y A In period 2, the agent chooses x A to maximize u + v.

19 2. A model of self-control x A y z B (choice) (most tempting) A A B If y A, A A B A B B If x B, A B B

20 2. A model of self-control

21 2. A model of self-control Distinguishing commitment & self-control: x {x, y} {y} Commitment: choose x at period 1, the planning period; Self-control: if committing to x is not possible, choose x from {x, y} at period 2, the consumption period.

22 3. Preference with and without selfcontrol U A max x A u x + k[v x max y A v y ] When k is sufficiently large, temptation cannot be resisted. k w, strong continuity should be modified.

23 3. Preference with and without selfcontrol {x, y} & {x, y }: y & y are very close; Assume that u x > u(y), v x > v y & u x > u y, v y > v(x); When the agent cannot resist temptation, {x, y} x y {x, y }; y & y are very close, but their utilities are not! Hence, the notion of continuity should be weakened.

24 3. Preference with and without selfcontrol

25 3. Preference with and without selfcontrol

26 3. Preference with and without selfcontrol Set betweenness and no self-control A A B or B A B

27 3. Preference with and without selfcontrol Let (u, v) represent ; Preference for no commitment: u is constant or v is constant or u is a positive affine transformation of v Maximal preference for commitment: A { x } for x A or has a preference for commitment at A; Regular preference relation: It has some preference for commitment but does not have the maximal preference for commitment;

28 3. Preference with and without selfcontrol

29 4. Extended preferences, temptation and second period choice G {(A, x) A : x A}; Given the first period choice A, the relation induces a preference over lotteries x A; In the first period, the agent evaluates sets anticipating her choice in the second period. In the second period, the agent chooses x A; The induced first period preference: 1 : A 1 B x A s.t. A, x 1 B, y, for all y B

30 4. Extended preferences, temptation and second period choice For the self-control preference: U A, x u x + v x max v y y A In period 2, the agent chooses x A to maximize U A, ; In period 1, according to max the agent chooses A. x A {u x + v x } max y A v y,

31 4. Extended preferences, temptation and second period choice For the preference without self-control : m min x A u(x) In period 2, the agent chooses x A to lexicographically maximize first u and then v ; 1 is the overwhelming temptation preference (u, v).

32 4. Extended preferences, temptation and second period choice The extended preference representation is not unique.

33 4. Extended preferences, temptation and second period choice Theorem 6 indicates if the induced first period preference is a temptation preference, then, v y > v x y attemps x

34 4. Extended preferences, temptation and second period choice

35 5. Measures of preference for commitment and self-control

36 5. Measures of preference for commitment and self-control

37 6. Discussion Temptation may be the cause of a preference for commitment; This paper introduces self-control preferences and quantify the cost of self-control as a utility penalty; The paper distinguishes between self-control & commitment;

38 6. Discussion The model of temptation with self-control implies: an irrelevant alternative may worse off decision maker s welfare; decision makers will expend resources to remove tempting alternatives from the choice sets. The model of temptation with self-control implies: Similar predictions as Strotz (1955); Removing temptation makes agents unambiguously better off.

39 Thank You

Lecture 6 Introduction to Utility Theory under Certainty and Uncertainty

Lecture 6 Introduction to Utility Theory under Certainty and Uncertainty Lecture 6 Introduction to Utility Theory under Certainty and Uncertainty Prof. Massimo Guidolin Prep Course in Quant Methods for Finance August-September 2017 Outline and objectives Axioms of choice under

More information

Financial Economics: Making Choices in Risky Situations

Financial Economics: Making Choices in Risky Situations Financial Economics: Making Choices in Risky Situations Shuoxun Hellen Zhang WISE & SOE XIAMEN UNIVERSITY March, 2015 1 / 57 Questions to Answer How financial risk is defined and measured How an investor

More information

2 Lecture Sophistication and Naivety

2 Lecture Sophistication and Naivety 2 Lecture 2 2.1 Sophistication and Naivety So far, we have cheated a little bit. If you think back to where we started, we said that the data we had was choices over menus, yet when discussing the Gul

More information

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION Szabolcs Sebestyén szabolcs.sebestyen@iscte.pt Master in Finance INVESTMENTS Sebestyén (ISCTE-IUL) Choice Theory Investments 1 / 65 Outline 1 An Introduction

More information

EconS Micro Theory I Recitation #8b - Uncertainty II

EconS Micro Theory I Recitation #8b - Uncertainty II EconS 50 - Micro Theory I Recitation #8b - Uncertainty II. Exercise 6.E.: The purpose of this exercise is to show that preferences may not be transitive in the presence of regret. Let there be S states

More information

Dynamic Consistency and Reference Points*

Dynamic Consistency and Reference Points* journal of economic theory 72, 208219 (1997) article no. ET962204 Dynamic Consistency and Reference Points* Uzi Segal Department of Economics, University of Western Ontario, London N6A 5C2, Canada Received

More information

Option Exercise with Temptation

Option Exercise with Temptation Option Exercise with Temptation Jianjun Miao September 24 Abstract This paper analyzes an agent s option exercise decision under uncertainty. The agent decides whether and when to do an irreversible activity.

More information

Choice Under Uncertainty

Choice Under Uncertainty Choice Under Uncertainty Lotteries Without uncertainty, there is no need to distinguish between a consumer s choice between alternatives and the resulting outcome. A consumption bundle is the choice and

More information

8/28/2017. ECON4260 Behavioral Economics. 2 nd lecture. Expected utility. What is a lottery?

8/28/2017. ECON4260 Behavioral Economics. 2 nd lecture. Expected utility. What is a lottery? ECON4260 Behavioral Economics 2 nd lecture Cumulative Prospect Theory Expected utility This is a theory for ranking lotteries Can be seen as normative: This is how I wish my preferences looked like Or

More information

Preferences and Utility

Preferences and Utility Preferences and Utility PowerPoint Slides prepared by: Andreea CHIRITESCU Eastern Illinois University 1 Axioms of Rational Choice Completeness If A and B are any two situations, an individual can always

More information

Non-Bayesian Updating: a Theoretical Framework. Epstein, Larry G., Jawwad Noor, and Alvaro Sandroni. Working Paper No. 518 July 2005 UNIVERSITY OF

Non-Bayesian Updating: a Theoretical Framework. Epstein, Larry G., Jawwad Noor, and Alvaro Sandroni. Working Paper No. 518 July 2005 UNIVERSITY OF Non-Bayesian Updating: a Theoretical Framework Epstein, Larry G., Jawwad Noor, and Alvaro Sandroni Working Paper No. 518 July 2005 UNIVERSITY OF ROCHESTER NON-BAYESIAN UPDATING: A THEORETICAL FRAMEWORK

More information

Micro Theory I Assignment #5 - Answer key

Micro Theory I Assignment #5 - Answer key Micro Theory I Assignment #5 - Answer key 1. Exercises from MWG (Chapter 6): (a) Exercise 6.B.1 from MWG: Show that if the preferences % over L satisfy the independence axiom, then for all 2 (0; 1) and

More information

ECON FINANCIAL ECONOMICS

ECON FINANCIAL ECONOMICS ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College April 3, 2018 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International

More information

Outline. Simple, Compound, and Reduced Lotteries Independence Axiom Expected Utility Theory Money Lotteries Risk Aversion

Outline. Simple, Compound, and Reduced Lotteries Independence Axiom Expected Utility Theory Money Lotteries Risk Aversion Uncertainty Outline Simple, Compound, and Reduced Lotteries Independence Axiom Expected Utility Theory Money Lotteries Risk Aversion 2 Simple Lotteries 3 Simple Lotteries Advanced Microeconomic Theory

More information

d. Find a competitive equilibrium for this economy. Is the allocation Pareto efficient? Are there any other competitive equilibrium allocations?

d. Find a competitive equilibrium for this economy. Is the allocation Pareto efficient? Are there any other competitive equilibrium allocations? Answers to Microeconomics Prelim of August 7, 0. Consider an individual faced with two job choices: she can either accept a position with a fixed annual salary of x > 0 which requires L x units of labor

More information

MICROECONOMIC THEROY CONSUMER THEORY

MICROECONOMIC THEROY CONSUMER THEORY LECTURE 5 MICROECONOMIC THEROY CONSUMER THEORY Choice under Uncertainty (MWG chapter 6, sections A-C, and Cowell chapter 8) Lecturer: Andreas Papandreou 1 Introduction p Contents n Expected utility theory

More information

Risk aversion and choice under uncertainty

Risk aversion and choice under uncertainty Risk aversion and choice under uncertainty Pierre Chaigneau pierre.chaigneau@hec.ca June 14, 2011 Finance: the economics of risk and uncertainty In financial markets, claims associated with random future

More information

Mock Examination 2010

Mock Examination 2010 [EC7086] Mock Examination 2010 No. of Pages: [7] No. of Questions: [6] Subject [Economics] Title of Paper [EC7086: Microeconomic Theory] Time Allowed [Two (2) hours] Instructions to candidates Please answer

More information

Pricing Kernel. v,x = p,y = p,ax, so p is a stochastic discount factor. One refers to p as the pricing kernel.

Pricing Kernel. v,x = p,y = p,ax, so p is a stochastic discount factor. One refers to p as the pricing kernel. Payoff Space The set of possible payoffs is the range R(A). This payoff space is a subspace of the state space and is a Euclidean space in its own right. 1 Pricing Kernel By the law of one price, two portfolios

More information

Option Exercise with Temptation

Option Exercise with Temptation Option Exercise with Temptation Jianjun Miao March 25 Abstract This paper analyzes an agent s option exercise decision under uncertainty. The agent decides whether and when to do an irreversible activity.

More information

Temptation and Taxation

Temptation and Taxation emptation and axation Per Krusell, Burhanettin Kuruscu, and Anthony A. Smith, Jr. June 2009 Abstract We study optimal taxation when consumers have temptation and self-control problems. Embedding the class

More information

Lecture 3: Utility-Based Portfolio Choice

Lecture 3: Utility-Based Portfolio Choice Lecture 3: Utility-Based Portfolio Choice Prof. Massimo Guidolin Portfolio Management Spring 2017 Outline and objectives Choice under uncertainty: dominance o Guidolin-Pedio, chapter 1, sec. 2 Choice under

More information

Lecture 8: Asset pricing

Lecture 8: Asset pricing BURNABY SIMON FRASER UNIVERSITY BRITISH COLUMBIA Paul Klein Office: WMC 3635 Phone: (778) 782-9391 Email: paul klein 2@sfu.ca URL: http://paulklein.ca/newsite/teaching/483.php Economics 483 Advanced Topics

More information

Microeconomics of Banking: Lecture 2

Microeconomics of Banking: Lecture 2 Microeconomics of Banking: Lecture 2 Prof. Ronaldo CARPIO September 25, 2015 A Brief Look at General Equilibrium Asset Pricing Last week, we saw a general equilibrium model in which banks were irrelevant.

More information

Microeconomic Theory III Spring 2009

Microeconomic Theory III Spring 2009 MIT OpenCourseWare http://ocw.mit.edu 14.123 Microeconomic Theory III Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. MIT 14.123 (2009) by

More information

Comparison of Payoff Distributions in Terms of Return and Risk

Comparison of Payoff Distributions in Terms of Return and Risk Comparison of Payoff Distributions in Terms of Return and Risk Preliminaries We treat, for convenience, money as a continuous variable when dealing with monetary outcomes. Strictly speaking, the derivation

More information

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

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India October 2012 Game Theory Lecture Notes By Y. Narahari Department of Computer Science and Automation Indian Institute of Science Bangalore, India October 2012 COOPERATIVE GAME THEORY The Core Note: This is a only a

More information

Lecture Notes on Separable Preferences

Lecture Notes on Separable Preferences Lecture Notes on Separable Preferences Ted Bergstrom UCSB Econ 210A When applied economists want to focus attention on a single commodity or on one commodity group, they often find it convenient to work

More information

Lecture 8: Introduction to asset pricing

Lecture 8: Introduction to asset pricing THE UNIVERSITY OF SOUTHAMPTON Paul Klein Office: Murray Building, 3005 Email: p.klein@soton.ac.uk URL: http://paulklein.se Economics 3010 Topics in Macroeconomics 3 Autumn 2010 Lecture 8: Introduction

More information

Advanced Microeconomic Theory

Advanced Microeconomic Theory Advanced Microeconomic Theory Lecture Notes Sérgio O. Parreiras Fall, 2016 Outline Mathematical Toolbox Decision Theory Partial Equilibrium Search Intertemporal Consumption General Equilibrium Financial

More information

TEMPTATION AND TAXATION

TEMPTATION AND TAXATION Econometrica, Vol. 78, No. 6 (November, 2010), 2063 2084 EMPAION AND AXAION BY PER KRUSELL, BURHANEIN KURUŞÇU, AND ANHONY A. SMIH, JR. 1 We study optimal taxation when consumers have temptation and self-control

More information

Part 4: Market Failure II - Asymmetric Information - Uncertainty

Part 4: Market Failure II - Asymmetric Information - Uncertainty Part 4: Market Failure II - Asymmetric Information - Uncertainty Expected Utility, Risk Aversion, Risk Neutrality, Risk Pooling, Insurance July 2016 - Asymmetric Information - Uncertainty July 2016 1 /

More information

Models and Decision with Financial Applications UNIT 1: Elements of Decision under Uncertainty

Models and Decision with Financial Applications UNIT 1: Elements of Decision under Uncertainty Models and Decision with Financial Applications UNIT 1: Elements of Decision under Uncertainty We always need to make a decision (or select from among actions, options or moves) even when there exists

More information

PhD Qualifier Examination

PhD Qualifier Examination PhD Qualifier Examination Department of Agricultural Economics May 29, 2014 Instructions This exam consists of six questions. You must answer all questions. If you need an assumption to complete a question,

More information

Frontiers in Social Neuroscience and Neuroeconomics: Decision Making under Uncertainty. September 18, 2008

Frontiers in Social Neuroscience and Neuroeconomics: Decision Making under Uncertainty. September 18, 2008 Frontiers in Social Neuroscience and Neuroeconomics: Decision Making under Uncertainty Kerstin Preuschoff Adrian Bruhin September 18, 2008 Risk Risk Taking in Economics Neural Correlates of Prospect Theory

More information

BEEM109 Experimental Economics and Finance

BEEM109 Experimental Economics and Finance University of Exeter Recap Last class we looked at the axioms of expected utility, which defined a rational agent as proposed by von Neumann and Morgenstern. We then proceeded to look at empirical evidence

More information

A. Introduction to choice under uncertainty 2. B. Risk aversion 11. C. Favorable gambles 15. D. Measures of risk aversion 20. E.

A. Introduction to choice under uncertainty 2. B. Risk aversion 11. C. Favorable gambles 15. D. Measures of risk aversion 20. E. Microeconomic Theory -1- Uncertainty Choice under uncertainty A Introduction to choice under uncertainty B Risk aversion 11 C Favorable gambles 15 D Measures of risk aversion 0 E Insurance 6 F Small favorable

More information

Expectimax and other Games

Expectimax and other Games Expectimax and other Games 2018/01/30 Chapter 5 in R&N 3rd Ø Announcement: q Slides for this lecture are here: http://www.public.asu.edu/~yzhan442/teaching/cse471/lectures/games.pdf q Project 2 released,

More information

Intro to Economic analysis

Intro to Economic analysis Intro to Economic analysis Alberto Bisin - NYU 1 The Consumer Problem Consider an agent choosing her consumption of goods 1 and 2 for a given budget. This is the workhorse of microeconomic theory. (Notice

More information

Game theory and applications: Lecture 1

Game theory and applications: Lecture 1 Game theory and applications: Lecture 1 Adam Szeidl September 20, 2018 Outline for today 1 Some applications of game theory 2 Games in strategic form 3 Dominance 4 Nash equilibrium 1 / 8 1. Some applications

More information

CS 188: Artificial Intelligence. Maximum Expected Utility

CS 188: Artificial Intelligence. Maximum Expected Utility CS 188: Artificial Intelligence Lecture 7: Utility Theory Pieter Abbeel UC Berkeley Many slides adapted from Dan Klein 1 Maximum Expected Utility Why should we average utilities? Why not minimax? Principle

More information

Lecture 12: Introduction to reasoning under uncertainty. Actions and Consequences

Lecture 12: Introduction to reasoning under uncertainty. Actions and Consequences Lecture 12: Introduction to reasoning under uncertainty Preferences Utility functions Maximizing expected utility Value of information Bandit problems and the exploration-exploitation trade-off COMP-424,

More information

Final Examination: Economics 210A December, 2015

Final Examination: Economics 210A December, 2015 Name Final Examination: Economics 20A December, 205 ) The island nation of Santa Felicidad has N skilled workers and N unskilled workers. A skilled worker can earn $w S per day if she works all the time

More information

Equation Chapter 1 Section 1 A Primer on Quantitative Risk Measures

Equation Chapter 1 Section 1 A Primer on Quantitative Risk Measures Equation Chapter 1 Section 1 A rimer on Quantitative Risk Measures aul D. Kaplan, h.d., CFA Quantitative Research Director Morningstar Europe, Ltd. London, UK 25 April 2011 Ever since Harry Markowitz s

More information

Expected Utility and Risk Aversion

Expected Utility and Risk Aversion Expected Utility and Risk Aversion Expected utility and risk aversion 1/ 58 Introduction Expected utility is the standard framework for modeling investor choices. The following topics will be covered:

More information

Choice under risk and uncertainty

Choice under risk and uncertainty Choice under risk and uncertainty Introduction Up until now, we have thought of the objects that our decision makers are choosing as being physical items However, we can also think of cases where the outcomes

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 October, 2013 Abstract Both Akerlof (1970) and Rothschild and Stiglitz (1976) show that

More information

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

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average) Answers to Microeconomics Prelim of August 24, 2016 1. In practice, firms often price their products by marking up a fixed percentage over (average) cost. To investigate the consequences of markup pricing,

More information

Optimizing S-shaped utility and risk management

Optimizing S-shaped utility and risk management Optimizing S-shaped utility and risk management Ineffectiveness of VaR and ES constraints John Armstrong (KCL), Damiano Brigo (Imperial) Quant Summit March 2018 Are ES constraints effective against rogue

More information

A Preference Foundation for Fehr and Schmidt s Model. of Inequity Aversion 1

A Preference Foundation for Fehr and Schmidt s Model. of Inequity Aversion 1 A Preference Foundation for Fehr and Schmidt s Model of Inequity Aversion 1 Kirsten I.M. Rohde 2 January 12, 2009 1 The author would like to thank Itzhak Gilboa, Ingrid M.T. Rohde, Klaus M. Schmidt, and

More information

Optimal Investment with Deferred Capital Gains Taxes

Optimal Investment with Deferred Capital Gains Taxes Optimal Investment with Deferred Capital Gains Taxes A Simple Martingale Method Approach Frank Thomas Seifried University of Kaiserslautern March 20, 2009 F. Seifried (Kaiserslautern) Deferred Capital

More information

Intertemporal Risk Attitude. Lecture 7. Kreps & Porteus Preference for Early or Late Resolution of Risk

Intertemporal Risk Attitude. Lecture 7. Kreps & Porteus Preference for Early or Late Resolution of Risk Intertemporal Risk Attitude Lecture 7 Kreps & Porteus Preference for Early or Late Resolution of Risk is an intrinsic preference for the timing of risk resolution is a general characteristic of recursive

More information

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

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 Lecture 5 Varian, Ch. 8; MWG, Chs. 3.E, 3.G, and 3.H Summary of Lectures, 2, and 3: Production theory and duality 2 Summary of Lecture 4: Consumption theory 2. Preference orders 2.2 The utility function

More information

1 Optimal Taxation of Labor Income

1 Optimal Taxation of Labor Income 1 Optimal Taxation of Labor Income Until now, we have assumed that government policy is exogenously given, so the government had a very passive role. Its only concern was balancing the intertemporal budget.

More information

Web Appendix: Proofs and extensions.

Web Appendix: Proofs and extensions. B eb Appendix: Proofs and extensions. B.1 Proofs of results about block correlated markets. This subsection provides proofs for Propositions A1, A2, A3 and A4, and the proof of Lemma A1. Proof of Proposition

More information

Prevention and risk perception : theory and experiments

Prevention and risk perception : theory and experiments Prevention and risk perception : theory and experiments Meglena Jeleva (EconomiX, University Paris Nanterre) Insurance, Actuarial Science, Data and Models June, 11-12, 2018 Meglena Jeleva Prevention and

More information

Self Control, Risk Aversion, and the Allais Paradox

Self Control, Risk Aversion, and the Allais Paradox Self Control, Risk Aversion, and the Allais Paradox Drew Fudenberg* and David K. Levine** This Version: October 14, 2009 Behavioral Economics The paradox of the inner child in all of us More behavioral

More information

Maximization of utility and portfolio selection models

Maximization of utility and portfolio selection models Maximization of utility and portfolio selection models J. F. NEVES P. N. DA SILVA C. F. VASCONCELLOS Abstract Modern portfolio theory deals with the combination of assets into a portfolio. It has diversification

More information

Foundations of Financial Economics Choice under uncertainty

Foundations of Financial Economics Choice under uncertainty Foundations of Financial Economics Choice under uncertainty Paulo Brito 1 pbrito@iseg.ulisboa.pt University of Lisbon March 9, 2018 Topics covered Contingent goods Comparing contingent goods Decision under

More information

Uncertainty in Equilibrium

Uncertainty in Equilibrium Uncertainty in Equilibrium Larry Blume May 1, 2007 1 Introduction The state-preference approach to uncertainty of Kenneth J. Arrow (1953) and Gérard Debreu (1959) lends itself rather easily to Walrasian

More information

Ramsey s Growth Model (Solution Ex. 2.1 (f) and (g))

Ramsey s Growth Model (Solution Ex. 2.1 (f) and (g)) Problem Set 2: Ramsey s Growth Model (Solution Ex. 2.1 (f) and (g)) Exercise 2.1: An infinite horizon problem with perfect foresight In this exercise we will study at a discrete-time version of Ramsey

More information

Thursday, March 3

Thursday, March 3 5.53 Thursday, March 3 -person -sum (or constant sum) game theory -dimensional multi-dimensional Comments on first midterm: practice test will be on line coverage: every lecture prior to game theory quiz

More information

Auctions That Implement Efficient Investments

Auctions That Implement Efficient Investments Auctions That Implement Efficient Investments Kentaro Tomoeda October 31, 215 Abstract This article analyzes the implementability of efficient investments for two commonly used mechanisms in single-item

More information

Building Consistent Risk Measures into Stochastic Optimization Models

Building Consistent Risk Measures into Stochastic Optimization Models Building Consistent Risk Measures into Stochastic Optimization Models John R. Birge The University of Chicago Graduate School of Business www.chicagogsb.edu/fac/john.birge JRBirge Fuqua School, Duke University

More information

Department of Economics The Ohio State University Midterm Questions and Answers Econ 8712

Department of Economics The Ohio State University Midterm Questions and Answers Econ 8712 Prof. James Peck Fall 06 Department of Economics The Ohio State University Midterm Questions and Answers Econ 87. (30 points) A decision maker (DM) is a von Neumann-Morgenstern expected utility maximizer.

More information

Game Theory - Lecture #8

Game Theory - Lecture #8 Game Theory - Lecture #8 Outline: Randomized actions vnm & Bernoulli payoff functions Mixed strategies & Nash equilibrium Hawk/Dove & Mixed strategies Random models Goal: Would like a formulation in which

More information

Session 9: The expected utility framework p. 1

Session 9: The expected utility framework p. 1 Session 9: The expected utility framework Susan Thomas http://www.igidr.ac.in/ susant susant@mayin.org IGIDR Bombay Session 9: The expected utility framework p. 1 Questions How do humans make decisions

More information

Utilities and Decision Theory. Lirong Xia

Utilities and Decision Theory. Lirong Xia Utilities and Decision Theory Lirong Xia Checking conditional independence from BN graph ØGiven random variables Z 1, Z p, we are asked whether X Y Z 1, Z p dependent if there exists a path where all triples

More information

Probabilities. CSE 473: Artificial Intelligence Uncertainty, Utilities. Reminder: Expectations. Reminder: Probabilities

Probabilities. CSE 473: Artificial Intelligence Uncertainty, Utilities. Reminder: Expectations. Reminder: Probabilities CSE 473: Artificial Intelligence Uncertainty, Utilities Probabilities Dieter Fox [These slides were created by Dan Klein and Pieter Abbeel for CS188 Intro to AI at UC Berkeley. All CS188 materials are

More information

14.03 Fall 2004 Problem Set 2 Solutions

14.03 Fall 2004 Problem Set 2 Solutions 14.0 Fall 004 Problem Set Solutions October, 004 1 Indirect utility function and expenditure function Let U = x 1 y be the utility function where x and y are two goods. Denote p x and p y as respectively

More information

Choice under Uncertainty

Choice under Uncertainty Chapter 7 Choice under Uncertainty 1. Expected Utility Theory. 2. Risk Aversion. 3. Applications: demand for insurance, portfolio choice 4. Violations of Expected Utility Theory. 7.1 Expected Utility Theory

More information

CS 4100 // artificial intelligence

CS 4100 // artificial intelligence CS 4100 // artificial intelligence instructor: byron wallace (Playing with) uncertainties and expectations Attribution: many of these slides are modified versions of those distributed with the UC Berkeley

More information

Time Preferences. Mark Dean. Behavioral Economics Spring 2017

Time Preferences. Mark Dean. Behavioral Economics Spring 2017 Time Preferences Mark Dean Behavioral Economics Spring 2017 Two Standard Ways Before spring break we suggested two possible ways of spotting temptation 1 Preference for Commitment 2 Time inconsistency

More information

Microeconomic Analysis ECON203

Microeconomic Analysis ECON203 Microeconomic Analysis ECON203 Consumer Preferences and the Concept of Utility Consumer Preferences Consumer Preferences portray how consumers would compare the desirability any two combinations or allotments

More information

Lecture 11: Critiques of Expected Utility

Lecture 11: Critiques of Expected Utility Lecture 11: Critiques of Expected Utility Alexander Wolitzky MIT 14.121 1 Expected Utility and Its Discontents Expected utility (EU) is the workhorse model of choice under uncertainty. From very early

More information

Chapter 3 PREFERENCES AND UTILITY. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved.

Chapter 3 PREFERENCES AND UTILITY. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved. Chapter 3 PREFERENCES AND UTILITY Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved. 1 Axioms of Rational Choice ( 理性选择公理 ) Completeness ( 完备性 ) if A and B are any two

More information

Introduction to Economics I: Consumer Theory

Introduction to Economics I: Consumer Theory Introduction to Economics I: Consumer Theory Leslie Reinhorn Durham University Business School October 2014 What is Economics? Typical De nitions: "Economics is the social science that deals with the production,

More information

AD-A MEASURING EGGIT IN PUBLI CRISK REVISFD(U CALIFORNIA I/, UNIV LOS ANGELES WESTERN MANAGEMENT SCIENCE INST

AD-A MEASURING EGGIT IN PUBLI CRISK REVISFD(U CALIFORNIA I/, UNIV LOS ANGELES WESTERN MANAGEMENT SCIENCE INST AD-A142 539 MEASURING EGGIT IN PUBLI CRISK REVISFD(U CALIFORNIA I/, UNIV LOS ANGELES WESTERN MANAGEMENT SCIENCE INST RKSARIN AUG 83 WMSI WORKING PAPER-322-REV Eu..' N UNCLASSIFES N00G 4-75-C 0570 FIG 5/1

More information

Game Theory Lecture Notes

Game Theory Lecture Notes Game Theory Lecture Notes Sérgio O. Parreiras Economics Department, UNC at Chapel Hill Spring, 2015 Outline Road Map Decision Problems Static Games Nash Equilibrium Pareto Efficiency Constrained Optimization

More information

Worst-Case vs. Average Case. CSE 473: Artificial Intelligence Expectimax, Uncertainty, Utilities. Expectimax Search. Worst-Case vs.

Worst-Case vs. Average Case. CSE 473: Artificial Intelligence Expectimax, Uncertainty, Utilities. Expectimax Search. Worst-Case vs. CSE 473: Artificial Intelligence Expectimax, Uncertainty, Utilities Worst-Case vs. Average Case max min 10 10 9 100 Dieter Fox [These slides were created by Dan Klein and Pieter Abbeel for CS188 Intro

More information

Non-Expected Utility and the Robustness of the Classical Insurance Paradigm: Discussion

Non-Expected Utility and the Robustness of the Classical Insurance Paradigm: Discussion The Geneva Papers on Risk and Insurance Theory, 20:51-56 (1995) 9 1995 The Geneva Association Non-Expected Utility and the Robustness of the Classical Insurance Paradigm: Discussion EDI KARNI Department

More information

Risk assessment for build-operate-transfer projects: a dynamic multi-objective programming approach

Risk assessment for build-operate-transfer projects: a dynamic multi-objective programming approach Computers & Operations Research 32 (2005) 1633 1654 www.elsevier.com/locate/dsw Risk assessment for build-operate-transfer projects: a dynamic multi-objective programming approach Chao-Chung Kang a;, Cheng-Min

More information

University of California, Davis Department of Economics Giacomo Bonanno. Economics 103: Economics of uncertainty and information PRACTICE PROBLEMS

University of California, Davis Department of Economics Giacomo Bonanno. Economics 103: Economics of uncertainty and information PRACTICE PROBLEMS University of California, Davis Department of Economics Giacomo Bonanno Economics 03: Economics of uncertainty and information PRACTICE PROBLEMS oooooooooooooooo Problem :.. Expected value Problem :..

More information

SAC 304: Financial Mathematics II

SAC 304: Financial Mathematics II SAC 304: Financial Mathematics II Portfolio theory, Risk and Return,Investment risk, CAPM Philip Ngare, Ph.D April 25, 2013 P. Ngare (University Of Nairobi) SAC 304: Financial Mathematics II April 25,

More information

Portfolio Management

Portfolio Management MCF 17 Advanced Courses Portfolio Management Final Exam Time Allowed: 60 minutes Family Name (Surname) First Name Student Number (Matr.) Please answer all questions by choosing the most appropriate alternative

More information

Answers to June 11, 2012 Microeconomics Prelim

Answers to June 11, 2012 Microeconomics Prelim Answers to June, Microeconomics Prelim. Consider an economy with two consumers, and. Each consumer consumes only grapes and wine and can use grapes as an input to produce wine. Grapes used as input cannot

More information

Preferences with Taste Shock Representations: Price Volatility and the Liquidity Premium

Preferences with Taste Shock Representations: Price Volatility and the Liquidity Premium Preferences with Taste Shock Representations: Price Volatility and the Liquidity Premium R. Vijay Krishna Philipp Sadowski 9th June 016 Abstract If price volatility is caused in some part by taste shocks,

More information

Aggregation with a double non-convex labor supply decision: indivisible private- and public-sector hours

Aggregation with a double non-convex labor supply decision: indivisible private- and public-sector hours Ekonomia nr 47/2016 123 Ekonomia. Rynek, gospodarka, społeczeństwo 47(2016), s. 123 133 DOI: 10.17451/eko/47/2016/233 ISSN: 0137-3056 www.ekonomia.wne.uw.edu.pl Aggregation with a double non-convex labor

More information

The Limits of Reciprocal Altruism

The Limits of Reciprocal Altruism The Limits of Reciprocal Altruism Larry Blume & Klaus Ritzberger Cornell University & IHS & The Santa Fe Institute Introduction Why bats? Gerald Wilkinson, Reciprocal food sharing in the vampire bat. Nature

More information

Debt Contracts and Cooperative Improvements

Debt Contracts and Cooperative Improvements Debt Contracts and Cooperative Improvements Stefan Krasa Tridib Sharma Anne P. Villamil February 9, 2004 Abstract In this paper we consider a dynamic game with imperfect information between a borrower

More information

Department of Economics The Ohio State University Final Exam Questions and Answers Econ 8712

Department of Economics The Ohio State University Final Exam Questions and Answers Econ 8712 Prof. Peck Fall 016 Department of Economics The Ohio State University Final Exam Questions and Answers Econ 871 1. (35 points) The following economy has one consumer, two firms, and four goods. Goods 1

More information

Expectimax Search Trees. CS 188: Artificial Intelligence Fall Expectimax Quantities. Expectimax Pseudocode. Expectimax Pruning?

Expectimax Search Trees. CS 188: Artificial Intelligence Fall Expectimax Quantities. Expectimax Pseudocode. Expectimax Pruning? CS 188: Artificial Intelligence Fall 2010 Expectimax Search Trees What if we don t know what the result of an action will be? E.g., In solitaire, next card is unknown In minesweeper, mine locations In

More information

April 28, Decision Analysis 2. Utility Theory The Value of Information

April 28, Decision Analysis 2. Utility Theory The Value of Information 15.053 April 28, 2005 Decision Analysis 2 Utility Theory The Value of Information 1 Lotteries and Utility L1 $50,000 $ 0 Lottery 1: a 50% chance at $50,000 and a 50% chance of nothing. L2 $20,000 Lottery

More information

Loss Aversion. Institute for Empirical Research in Economics University of Zurich. Working Paper Series ISSN Working Paper No.

Loss Aversion. Institute for Empirical Research in Economics University of Zurich. Working Paper Series ISSN Working Paper No. Institute for Empirical Research in Economics University of Zurich Working Paper Series ISSN 1424-0459 Working Paper No. 375 Loss Aversion Pavlo R. Blavatskyy June 2008 Loss Aversion Pavlo R. Blavatskyy

More information

MIDTERM EXAM ANSWERS

MIDTERM EXAM ANSWERS MIDTERM EXAM ANSWERS ECON 10 PROFESSOR GUSE Instructions. You have 3 hours to complete the exam. There are a total of 75 points on the exam. The exam is designed to take about 1 minute per point. You are

More information

Module 1: Decision Making Under Uncertainty

Module 1: Decision Making Under Uncertainty Module 1: Decision Making Under Uncertainty Information Economics (Ec 515) George Georgiadis Today, we will study settings in which decision makers face uncertain outcomes. Natural when dealing with asymmetric

More information

CS 343: Artificial Intelligence

CS 343: Artificial Intelligence CS 343: Artificial Intelligence Uncertainty and Utilities Instructors: Dan Klein and Pieter Abbeel University of California, Berkeley [These slides are based on those of Dan Klein and Pieter Abbeel for

More information

Efficiency in Decentralized Markets with Aggregate Uncertainty

Efficiency in Decentralized Markets with Aggregate Uncertainty Efficiency in Decentralized Markets with Aggregate Uncertainty Braz Camargo Dino Gerardi Lucas Maestri December 2015 Abstract We study efficiency in decentralized markets with aggregate uncertainty and

More information

6.207/14.15: Networks Lecture 9: Introduction to Game Theory 1

6.207/14.15: Networks Lecture 9: Introduction to Game Theory 1 6.207/14.15: Networks Lecture 9: Introduction to Game Theory 1 Daron Acemoglu and Asu Ozdaglar MIT October 13, 2009 1 Introduction Outline Decisions, Utility Maximization Games and Strategies Best Responses

More information

Lecture 3 Representation of Games

Lecture 3 Representation of Games ecture 3 epresentation of Games 4. Game Theory Muhamet Yildiz oad Map. Cardinal representation Expected utility theory. Quiz 3. epresentation of games in strategic and extensive forms 4. Dominance; dominant-strategy

More information