Revealed Preference. Ichiro Obara. October 8, 2012 UCLA. Obara (UCLA) Revealed Preference October 8, / 17



Similar documents
Advanced Microeconomics

Walrasian Demand. u(x) where B(p, w) = {x R n + : p x w}.

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

Lecture 2: Consumer Theory

Tastes and Indifference Curves

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

Price Elasticity of Supply; Consumer Preferences

On Lexicographic (Dictionary) Preference

Consumer Theory. The consumer s problem

Follow links for Class Use and other Permissions. For more information send to:

TOPIC 4: DERIVATIVES

Follow links for Class Use and other Permissions. For more information send to:

Preferences. M. Utku Ünver Micro Theory. Boston College. M. Utku Ünver Micro Theory (BC) Preferences 1 / 20

Insurance. Michael Peters. December 27, 2013

Introductory Notes on Demand Theory

Economics 121b: Intermediate Microeconomics Problem Set 2 1/20/10

UC Berkeley Haas School of Business Economic Analysis for Business Decisions (EWMBA 201A)

Lecture Note 7: Revealed Preference and Consumer Welfare

2. Information Economics

No-Betting Pareto Dominance

Definition and Properties of the Production Function: Lecture

Choice under Uncertainty

Utility. M. Utku Ünver Micro Theory. M. Utku Ünver Micro Theory Utility 1 / 15

Mathematical finance and linear programming (optimization)

Gains from Trade. Christopher P. Chambers and Takashi Hayashi. March 25, Abstract

Economics 2020a / HBS 4010 / HKS API-111 FALL 2010 Solutions to Practice Problems for Lectures 1 to 4

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

CITY AND REGIONAL PLANNING Consumer Behavior. Philip A. Viton. March 4, Introduction 2

Critical points of once continuously differentiable functions are important because they are the only points that can be local maxima or minima.

Multi-variable Calculus and Optimization

15 Kuhn -Tucker conditions

= = 106.

Game Theory: Supermodular Games 1

Economics 200B Part 1 UCSD Winter 2015 Prof. R. Starr, Mr. John Rehbeck Final Exam 1

Economics of Insurance

Constrained Optimisation

Fund Manager s Portfolio Choice

Working Paper Series

x a x 2 (1 + x 2 ) n.

No: Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics

Consumer Theory: The Mathematical Core

Tastes and Indifference Curves

Lecture Notes on Elasticity of Substitution

Online Appendix to Stochastic Imitative Game Dynamics with Committed Agents

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

ANSWER KEY 3 UTILITY FUNCTIONS, THE CONSUMER S PROBLEM, DEMAND CURVES

More Quadratic Equations

Tail inequalities for order statistics of log-concave vectors and applications

PART II THEORY OF CONSUMER BEHAVIOR AND DEMAND

On the Efficiency of Competitive Stock Markets Where Traders Have Diverse Information

Economic Principles Solutions to Problem Set 1

Convex analysis and profit/cost/support functions

Lecture 13: Risk Aversion and Expected Utility

Decision & Risk Analysis Lecture 6. Risk and Utility

Economics 2020a / HBS 4010 / HKS API-111 Fall 2011 Practice Problems for Lectures 1 to 11

6.207/14.15: Networks Lecture 15: Repeated Games and Cooperation

Investigación Operativa. The uniform rule in the division problem

FIRST YEAR CALCULUS. Chapter 7 CONTINUITY. It is a parabola, and we can draw this parabola without lifting our pencil from the paper.

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan

Increasing for all. Convex for all. ( ) Increasing for all (remember that the log function is only defined for ). ( ) Concave for all.

Error Bound for Classes of Polynomial Systems and its Applications: A Variational Analysis Approach

Lecture 5 Principal Minors and the Hessian

1 Norms and Vector Spaces

Further Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1

4.6 Linear Programming duality

MATH 10550, EXAM 2 SOLUTIONS. x 2 + 2xy y 2 + x = 2

Arrangements And Duality

Some representability and duality results for convex mixed-integer programs.

Analyzing the Demand for Deductible Insurance

CHAPTER 3 CONSUMER BEHAVIOR

Lecture 8 The Subjective Theory of Betting on Theories

A FIRST COURSE IN OPTIMIZATION THEORY

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a

Chapter 25: Exchange in Insurance Markets

chapter >> Consumer and Producer Surplus Section 3: Consumer Surplus, Producer Surplus, and the Gains from Trade

3. INNER PRODUCT SPACES

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12

1. Briefly explain what an indifference curve is and how it can be graphically derived.

Full and Complete Binary Trees

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University

Integer factorization is in P

Chapter ML:IV. IV. Statistical Learning. Probability Basics Bayes Classification Maximum a-posteriori Hypotheses

Decision making in the presence of uncertainty II

Second degree price discrimination

Working Paper Series

Economics 326: Duality and the Slutsky Decomposition. Ethan Kaplan

Chapter 21: The Discounted Utility Model

Single-Period Balancing of Pay Per-Click and Pay-Per-View Online Display Advertisements

1 if 1 x 0 1 if 0 x 1

The Graphical Method: An Example

ALMOST COMMON PRIORS 1. INTRODUCTION

Strategic Communication in Social Networks

c 2008 Je rey A. Miron We have described the constraints that a consumer faces, i.e., discussed the budget constraint.

Lecture Notes Intermediate Microeconomics. Xu Hu Department of Economics, Texas A&M University

Demand Analysis with Partially Observed Prices

Managerial Economics Prof. Trupti Mishra S.J.M. School of Management Indian Institute of Technology, Bombay. Lecture - 13 Consumer Behaviour (Contd )

Risk and Uncertainty. Vani K Borooah University of Ulster

3. Mathematical Induction

arxiv: v1 [math.gm] 28 Apr 2008

Optimal Security Design

Transcription:

Ichiro Obara UCLA October 8, 2012 Obara (UCLA) October 8, 2012 1 / 17

Obara (UCLA) October 8, 2012 2 / 17

Suppose that we obtained data of price and consumption pairs D = { (p t, x t ) R L ++ R L +, t = 1,..., T } from a consumer. Does this consumer maximize his or her utility? Obara (UCLA) October 8, 2012 3 / 17

Here we take a very different approach to choice behavior. We start with some axioms on choice behavior, not on preference. Consider the following properties. x t is revealed preferred to x s if p t x s p t x t. x t is strictly revealed preferred to x s if p t x s < p t x t. Obara (UCLA) October 8, 2012 4 / 17

Here is one well-known axiom. Weak Axiom of (WARP) For any x t, x s D, if x t is revealed preferred to x s and x t x s, then x s is not revealed preferred to x t. P t WARP x t x s P s Obara (UCLA) October 8, 2012 5 / 17

Here is another important axiom. Generalized Axiom of (GARP) For any { p t(n), x t(n), n = 1,..., N } D, if x t(n) is revealed preferred to x t(n+1) for n = 1,..., N 1, then x t(n) is not strictly revealed preferred to x t(1). Obara (UCLA) October 8, 2012 6 / 17

If a consumer s choice is based on his or her preference, then the following must be the case. u(x t ) u(x s ) if x t is revealed preferred to x s, and u(x t ) > u(x s ) if x t is strictly revealed preferred to x s and u is locally nonsatiated. u(x t ) > u(x s ) if x t is revealed preferred to x s, x t x s and u is strictly quasi-concave. So GARP is necessary for consumers with locally nonsatiated preference and WARP is necessary for consumers with strictly convex preference. Hence (in principle) we can check the assumption of utility maximization by checking these properties in data. Obara (UCLA) October 8, 2012 7 / 17

Is the converse true? Can we regard a consumer as a utility maximizer if these axioms are satisfied? Rationalizable Data A finite data set D is rationalized by a utility function u : R L + R if u(x t ) u(x) for all x B(p t, p t x t ) and t = 1,..., T. More precisely, the question is: can we find a utility function that rationalizes the data when the data satisfies the above axioms? Obara (UCLA) October 8, 2012 8 / 17

The answer is NO for WARP. Example. Consider three price-commodity pairs given by p 1 = (1, 1, 2), p 2 = (2, 1, 1), p 3 = (1, 2, 1 + ɛ), x 1 = (1, 0, 0), x 2 = (0, 1, 0), x 3 = (0, 0, 1). This satisfies WARP, but violates GARP. Thus there is no (locally nonsatiated) utility function that rationalizes it. Obara (UCLA) October 8, 2012 9 / 17

This example suggests that... GARP WARP Rationalizable Data Obara (UCLA) October 8, 2012 10 / 17

But it turns out that the right picture is the following. WARP Rationalizable Data = GARP Obara (UCLA) October 8, 2012 11 / 17

Theorem (Afriat) The following statements are equivalent. 1 A finite data set D can be rationalized by a locally nonsatiated utility function. 2 A finite data set D satisfies GARP. 3 A finite data set D can be rationalized by a continuous, concave, and strongly monotone utility function. The only difficult step is 2 3. Obara (UCLA) October 8, 2012 12 / 17

Some intuition: Whether a consumer s indifferent curve is a red curve or a blue curve cannot be detected by two data points. x x Obara (UCLA) October 8, 2012 13 / 17

Some intuition: Whether a consumer s indifferent curve is a red curve or a blue curve cannot be detected by two data points. x x Obara (UCLA) October 8, 2012 13 / 17

Proof of 2 3. It can be shown that U t R, λ t > 0, t = 1,..., T such that for all i, j, Define u by U j U i + λ i p i (x j x i ). u(x) := min t { U t + λ t p t (x x t ) }. Verify that u : R L + R is continuous, concave, and strongly monotone. Show p t x p t x t u(x t ) u(x). Obara (UCLA) October 8, 2012 14 / 17

Remark. There is a natural interpretation of the inequality that appears in the beginning of the proof. Suppose that a consumer maximizes a concave utility function u. Then for any x i, x j D, u(x j ) u(x i ) + Du(x i ) ( x j x i) The inequality is obtained if Du(x i ) = λ i p i. Obara (UCLA) October 8, 2012 15 / 17

Comment One way to interpret Afriat s theorem is that, if GARP is satisfied, then we can treat the consumer as if he or she is maximizing a (well-behaved) utility function. So we may expect that all the implications of utility maximization apply to this consumer s demand behavior. Obara (UCLA) October 8, 2012 16 / 17