MICROECONOMIC THEORY I PROBLEM SET 1

Similar documents
Chapter 1 - Preference and choice

Structural Properties of Utility Functions Walrasian Demand

Solution Homework 1 - EconS 501

Last Revised: :19: (Fri, 12 Jan 2007)(Revision:

Microeconomic Theory I Midterm

Microeconomic Analysis

Individual decision-making under certainty

Advanced Microeconomics Fall Lecture Note 1 Choice-Based Approach: Price e ects, Wealth e ects and the WARP

Problem 2: ii) Completeness of implies that for any x X we have x x and thus x x. Thus x I(x).

Boundary Behavior of Excess Demand Functions without the Strong Monotonicity Assumption

CONSUMER DEMAND. Consumer Demand

Microeconomics. Joana Pais. Fall Joana Pais

Microeconomics II Lecture 4. Marshallian and Hicksian demands for goods with an endowment (Labour supply)

We are now going to go back to the concept of sequences, and look at some properties of sequences in R

x 1 1 and p 1 1 Two points if you just talk about monotonicity (u (c) > 0).

Applications I: consumer theory

Revealed Preference 2011

Differentiable Welfare Theorems Existence of a Competitive Equilibrium: Preliminaries

Second Welfare Theorem

MATH 426, TOPOLOGY. p 1.

HW4 Solutions. 1. Problem 2.4 (Prove Proposition 2.5) 2. Prove Proposition 2.8. Kenjiro Asami. Microeconomics I

Introduction to Analysis Constructing R from Q

Microeconomic Theory I Midterm October 2017

Unlinked Allocations in an Exchange Economy with One Good and One Bad

Monotone comparative statics Finite Data and GARP

Note on social choice allocation in exchange economies with Cobb-Douglas preferences

Preferences and Utility

The Interdisciplinary Center, Herzliya School of Economics Advanced Microeconomics Fall Bargaining The Axiomatic Approach

Notes I Classical Demand Theory: Review of Important Concepts

Advanced Microeconomics

Preferences and Utility

Preference and Utility

Microeconomics, Block I Part 1

Mathematical Appendix

CONSUMPTION. (Lectures 4, 5, and 6) Remark: (*) signals those exercises that I consider to be the most important

Microeconomics MSc. preference relations. Todd R. Kaplan. October University of Haifa. Kaplan (Haifa) micro October / 43

Demand Theory. Lecture IX and X Utility Maximization (Varian Ch. 7) Federico Trionfetti

Solution Homework 1 - EconS 501

Technical Results on Regular Preferences and Demand

Sequences. We know that the functions can be defined on any subsets of R. As the set of positive integers

3/1/2016. Intermediate Microeconomics W3211. Lecture 3: Preferences and Choice. Today s Aims. The Story So Far. A Short Diversion: Proofs

Pareto Efficiency (also called Pareto Optimality)

Mathematical Preliminaries for Microeconomics: Exercises

Week 6: Consumer Theory Part 1 (Jehle and Reny, Chapter 1)

7) Important properties of functions: homogeneity, homotheticity, convexity and quasi-convexity

Social Choice Theory. Felix Munoz-Garcia School of Economic Sciences Washington State University. EconS Advanced Microeconomics II

Competitive Consumer Demand 1

ADVANCED CALCULUS - MTH433 LECTURE 4 - FINITE AND INFINITE SETS

Revealed Preferences and Utility Functions

3. Neoclassical Demand Theory. 3.1 Preferences

UNIVERSITY OF KANSAS WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS

MATH3283W LECTURE NOTES: WEEK 6 = 5 13, = 2 5, 1 13

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

Microeconomics I Fall 2007 Prof. I. Hafalir

Week 1: Conceptual Framework of Microeconomic theory (Malivaud, September Chapter 6, 20151) / Mathemat 1 / 25. (Jehle and Reny, Chapter A1)

MATH 301 INTRO TO ANALYSIS FALL 2016

Microeconomics MSc. preference relations. Todd R. Kaplan. October University of Haifa. Kaplan (Haifa) micro October / 39

1 General Equilibrium

Efficiency and strategy-proofness in object assignment problems with multi-demand preferences

Pigeonhole Principle and Ramsey Theory

Lecture 3. Econ August 12

Problem Set 1 Welfare Economics

Limits and Continuity

Towards a Denotational Semantics for Discrete-Event Systems

Confronting Theory with Experimental Data and vice versa. Lecture I Choice under risk. The Norwegian School of Economics Nov 7-11, 2011

GARP and Afriat s Theorem Production

Homework 4, 5, 6 Solutions. > 0, and so a n 0 = n + 1 n = ( n+1 n)( n+1+ n) 1 if n is odd 1/n if n is even diverges.

2 Lecture Span, Basis and Dimensions

Optimization and Optimal Control in Banach Spaces

Alfred Marshall s cardinal theory of value: the strong law of demand

Topology, Math 581, Fall 2017 last updated: November 24, Topology 1, Math 581, Fall 2017: Notes and homework Krzysztof Chris Ciesielski

2. Metric Spaces. 2.1 Definitions etc.

Strictly monotonic preferences on continuum of goods commodity spaces

Microeconomics MSc. preference relations. Todd R. Kaplan. October University of Haifa. Kaplan (Haifa) micro October / 42

3. THE EXCHANGE ECONOMY

Supplementary material for: Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model

Seminars on Mathematics for Economics and Finance Topic 5: Optimization Kuhn-Tucker conditions for problems with inequality constraints 1

First Welfare Theorem

Some Remarks on Prill s Problem

Notes IV General Equilibrium and Welfare Properties

CSE 206A: Lattice Algorithms and Applications Spring Minkowski s theorem. Instructor: Daniele Micciancio

6.891 Games, Decision, and Computation February 5, Lecture 2

2. The Concept of Convergence: Ultrafilters and Nets

Student s Guide Chapter 1: Choice, Preference, and Utility

Embedded systems specification and design

Chapter 13. Convex and Concave. Josef Leydold Mathematical Methods WS 2018/19 13 Convex and Concave 1 / 44

Risk Aversion over Incomes and Risk Aversion over Commodities. By Juan E. Martinez-Legaz and John K.-H. Quah 1

Lecture 3 - Axioms of Consumer Preference and the Theory of Choice

Choice, Preferences and Utility

Introduction to General Equilibrium: Framework.

A Simplified Test for Preference Rationality of Two-Commodity Choice

Preference, Choice and Utility

Solution of the 7 th Homework

On mixed-integer sets with two integer variables

Course Handouts ECON 4161/8001 MICROECONOMIC ANALYSIS. Jan Werner. University of Minnesota

Notes on Consumer Theory

Algebraic function fields

M17 MAT25-21 HOMEWORK 6

Convex Functions and Optimization

Numerical representations of binary relations with thresholds: A brief survey 1

Transcription:

MICROECONOMIC THEORY I PROBLEM SET 1 MARCIN PĘSKI Properties of rational preferences. MWG 1.B1 and 1.B.2. Solutions: Tutorial Utility and preferences. MWG 1.B.4. Solutions: Tutorial Choice structure. MWG 1.D.1 and MWG 1.D.4. Solutions: Tutorial Lexicographic prefences. MWG 3.C.1. Solutions: Let us formally define lexicographic ordering on R+: L (x 1,..., x L ) (y 1,..., y L ) if and only if there exists k = 1,..., L, +1 such that (a) for each l < k, x l = y l, and (b) x k < y k (the last part does not apply if k = L + 1). Completeness: For each (x 1,..., x L ), (y 1,..., y L ) R+, L either two bundles are equal (and both of them are equivalent with respect to the lexic. preferences), or the exists the first coordinate such that x k > y k or vice versa. In the former case, (x 1,..., x L ) (y 1,..., y L ), and in the latter (x 1,..., x L ) (y 1,..., y L ). Transitivity:Suppose that (x 1,..., x L ) (y 1,..., y L ) and (y 1,..., y L ) (z 1,..., z L ). Let k and k be the coordinates from the definition for, respectively, the first and the second relation. Let k = min (k, k ). Then, x l = z l for all l < k, and x k < z k (again, the last inequality does not apply if k = L+1). In particular, (x 1,..., x L ) (z 1,..., z L ). Strong monotonicity. It follows directly from definition. Strict convexity. It follows from the fact that each indifference set contains exactly one element (so that the definition applies trivially). 1

2 MARCIN PĘSKI Leontieff preferences. Suppose that L = 2. Suppose that preferences on X = {(a, b) : a, b 0} are represented by the following utility functions: min (a, b), max (a, b). Check convexity, monotonicity, homotheticity, and local non-satiation of these preferences. Solutions: Both preferences are homothetic, locally non-satiated and min (a, b) (but not max (a, b)) is also convex. Quasi-linear preferences. (Based on MWG 3.C.5b) Let X = {(x 1,..., x L ) : l L 1 x l 0}. To shorten the notation, for each x X, we will write x = (y, x L ), where y R L 1 +. A preference relation on X is quasi-linear with respect to the last good L if for any two bundles x = (y, x L ) and x = (y, x L), for any constant α > 0, adding α amount of good L to both consumption bundles does not change the ranking of bundles. (y, x L ) (y, x L) if and only if (y, x L + α) (y, x L + α), good L is desirable: for each α > 0, (y, x L ) (y, x L + α). Suppose that a consumer has a preference relation on X that is quasi-linear with respect to the last good L, continuous, and strictly monotone. In this exercise, we are going to show that is quasi-linear with respect to the last good L if and only if there exists function ψ : R L 1 + R such that is represented by utility function u (y, x L ) = ψ (y) + x L. (1) Show that if is represented by utility function u (y, x L ) = ψ (y) + x L for some function ψ : R L 1 + R, then is quasi-linear with respect to the last good L. (2) In the rest of the exercise, we are going to show the implication from part (a) holds also in the other direction, i.e. that is quasi-linear with respect to the last good L only if there exists function ψ : R L 1 + R such that is represented by utility function u (y, x L ) = ψ (y) + x L. As the first step, explain, that there exists a continuous utility function v : R L 1 + R R that represents.

ADVANCED MICRO THEORY II 3 (3) Let Y R L 1 + be the set of tuples y for which there exists at least one x R, such that v (y, x) = 0. Show that for each y Y, for any x L, x L R, if v (y, x L ) = v (y, x L) = 0, then x L = x L. (4) Assume for now on that Y = R L 1 + (we will come back to proving that later). By the previous point, for each y R L 1 +, there exists exactly one x L (y) R such that v (y, x L (y)) = 0. Let ψ (y) = x L (y). Show that utility function u : R L 1 + R R defined by represents preferences. u (y, x L ) = ψ (y) + x L (5) (Difficult.) We need to go back to our missing step. Without using part (d) of the excercise, show that Y = R L 1 +. Solutions: Part (2). It follows from Proposition in the class and the fact that we assume that is continuous and strictly monotone. Part (3). It follows from the fact that good Lis always desirable for quasilinear preferences (or, from strong monotonicity of the preferences). Part (4). Take any two bundles two bundles x = (y, x L ) and x = (y, x L). Observe that x = (y, x L ) = (y, ψ (y) + ψ (y) + x L ) = (y, ψ (y) + u (x)), and, similarly, x = (y, ψ (y ) + u (x )). Notice that by the choice of function ψ (.), we have (y, ψ (y)) (y, ψ (y )). By the first property of quasi-linear preferences, (y, ψ (y) + u (x)) (y, ψ (y ) + u (x)). By the second property of quasi-linear preferences, u (x) u (x ) if and only if x = (y, ψ (y) + u (x)) (y, ψ (y ) + u (x)) (y, ψ (y ) + u (x) + u (x ) u (x)) = x. Part (5) (Thanks to David Walker-Jones for providing a solution.) We will show that Y = R L 1 + by assuming y R L 1 + \Y and reaching a subsequent contradiction

4 MARCIN PĘSKI which shows R L 1 + \ Y =, and thus Y = R L 1 + as desired. Notice through construction of v that Y can be easily shown to be non-empty, and further, that wlog we can assume v(y, x L ) < 0 x L R. 1 Consider the line S in R L 1 + with gradient(1,1,1,...1) that passes though y and continues on to y, where y > y 0. Because v is strictly monotone v(y, x 0 L) > 0, and thus since v is continuous there is a boundary point z between Y and its complement Y c on S. There are two cases that must be considered: when z Y, and when z Y c. Each case will result in the desired contradiction. Case 1: Assume z Y. This means x z L st v(z, x z L) = 0. Construct an infinite sequence {y n } n=1 of points on the line S all contained in Y c that converges to z. Now choose a δ > 0 and note that since v is strictly monotone v(z, x z L + δ) = ɛ > 0. Since v is continuous v(y n, x z L + δ) converges to v(z, x z L + δ) = ɛ. Thus k st if n k then v(y n, x z L + δ) > 0. This is impossible since v is continuous, n y n Y c, and v(y n, x z L) < 0. Case 2: Assume z Y c. Construct an infinite sequence {y n } n=1 of points on the line S all contained in Y that converges to z. Let v(z, x 0 L) = c < 0. Pick δ > 0 and let v(z, x 0 L + δ) = c + ɛ < 0 where ɛ > 0 since v monotone. Further, since v is continuous, v(y n, x 0 L) converges to v(z, x 0 L). Thus k st if n k then v(y n, x 0 L) < c + ɛ. Choose such an n k and observe that v(z, x 0 L + δ) > v(y n, x 0 L). Let x n L be the value st v(y n, x n L) = 0. Since v is quasi-linear in x L we have that 1 Y can be ensured to be non-empty by the construction of v: from the proposition in lecture, and as is discussed in part (b), we know that since is continuous and monotone it can be represented by a continuous utility function v 0. We can further pick a point (y 0, x 0 L ) in RL 1 + R and create a new continuous representation of defined by v(y, x L ) = v 0 (y, x L ) v 0 (y 0, x 0 L ). Thus v(y0, x 0 L ) = 0, and Y is non-empty by construction. Further because v is continuous, v(y, x L ) must either be negative x L R, or positive x L R. Since v(y, x L ) can be made negative x L R if it is not already (by simply letting v(y, x L ) = v 0 (y, x L ) + v 0 (y 0, x 0 L )), we can assume v(y, x L ) < 0 x L R. Given what we eventually show, these kinds of alterations are not concerning in the least.

ADVANCED MICRO THEORY II 5 v(z, x 0 L + δ + (x n L x 0 L)) > v(y n, x 0 L + (x n L x 0 L)) = 0. 2 This is of course impossible since v is continuous, z Y c, and v(z, x 0 L) < 0. 2 We know x n L x0 L > 0 since v is monotone and v(yn, x 0 L ) < 0 while v(yn, x 0 L + (xn L x0 L )) = v(y n, x n L ) = 0