Consumer Choice 1
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Theory of Consumer Behaviour
Theory of Consumer Behaviour Public Economy 1 What is Consumer Behaviour? • Suppose you earn 12,000 yen additionally – How many lunch with 1,000 yen (x1) and how many movie with 2,000 yen (x2) you enjoy? (x1, x2) = (10,1), (6,3), (3,4), (2,5), … – Suppose the price of movie is 1,500 yen? – Suppose the additional bonus is 10,000 yen? Public Economy 2 Consumer Behaviour • Feature of Consumer Behaviour • Consumption set (Budget constraint) • Preference • Utility • Choice • Demand • Revealed preference Public Economy 3 Feature of Consumer Behaviour Economic Entity Firm(企業), Consumer (家計), Government (経済主体) Household’s income Capital(資本), Labor(労働),Stock(株式) Consumer Firm Hire(賃料), Wage(賃金), Divided(配当) Goods Market (財・サービス市場) Price Demand Supply Quantity Consumer = price taker (価格受容者) Public Economy 4 Budget Set (1) • Constraint faced by consumer Possible to convert – Budget Constraint (income is limited) into monetary unit – Time Constraint (time is limited) under the given wage rate – Allocation Constraint Combine to Budget Constraint Generally, only the budget constraint is considered Public Economy 5 Budget Set (2) Budget Constraint Budget Constraint (without allocation constraint) (with allocation constraint) n pi xi I x2 i1 x2 Income Price Demand x1 x1 Budget Set (消費可能集合) B B 0 x1 0 x1 n n n n B x R x 0, pi xi I B x R x 0, pi xi I, x1 x1 i1 i1 Public Economy 6 Preference (1) • What is preference? A B A is (strictly) preferred to B (A is always chosen between A and B) A B A is preferred to B, or indifferent between two (B is never chosen between A and B) A ~ B A and B is indifferent (No difference between A and B) Public Economy 7 Preference (2) • Assumption regarding to preference 1. -
CONSUMER CHOICE 1.1. Unit of Analysis and Preferences. The
CONSUMER CHOICE 1. THE CONSUMER CHOICE PROBLEM 1.1. Unit of analysis and preferences. The fundamental unit of analysis in economics is the economic agent. Typically this agent is an individual consumer or a firm. The agent might also be the manager of a public utility, the stockholders of a corporation, a government policymaker and so on. The underlying assumption in economic analysis is that all economic agents possess a preference ordering which allows them to rank alternative states of the world. The behavioral assumption in economics is that all agents make choices consistent with these underlying preferences. 1.2. Definition of a competitive agent. A buyer or seller (agent) is said to be competitive if the agent assumes or believes that the market price of a product is given and that the agent’s actions do not influence the market price or opportunities for exchange. 1.3. Commodities. Commodities are the objects of choice available to an individual in the economic sys- tem. Assume that these are the various products and services available for purchase in the market. Assume that the number of products is finite and equal to L ( =1, ..., L). A product vector is a list of the amounts of the various products: ⎡ ⎤ x1 ⎢ ⎥ ⎢x2 ⎥ x = ⎢ . ⎥ ⎣ . ⎦ xL The product bundle x can be viewed as a point in RL. 1.4. Consumption sets. The consumption set is a subset of the product space RL, denoted by XL ⊂ RL, whose elements are the consumption bundles that the individual can conceivably consume given the phys- L ical constraints imposed by the environment. -
Lecture 4 " Theory of Choice and Individual Demand
Lecture 4 - Theory of Choice and Individual Demand David Autor 14.03 Fall 2004 Agenda 1. Utility maximization 2. Indirect Utility function 3. Application: Gift giving –Waldfogel paper 4. Expenditure function 5. Relationship between Expenditure function and Indirect utility function 6. Demand functions 7. Application: Food stamps –Whitmore paper 8. Income and substitution e¤ects 9. Normal and inferior goods 10. Compensated and uncompensated demand (Hicksian, Marshallian) 11. Application: Gi¤en goods –Jensen and Miller paper Roadmap: 1 Axioms of consumer preference Primal Dual Max U(x,y) Min pxx+ pyy s.t. pxx+ pyy < I s.t. U(x,y) > U Indirect Utility function Expenditure function E*= E(p , p , U) U*= V(px, py, I) x y Marshallian demand Hicksian demand X = d (p , p , I) = x x y X = hx(px, py, U) = (by Roy’s identity) (by Shepard’s lemma) ¶V / ¶p ¶ E - x - ¶V / ¶I Slutsky equation ¶p x 1 Theory of consumer choice 1.1 Utility maximization subject to budget constraint Ingredients: Utility function (preferences) Budget constraint Price vector Consumer’sproblem Maximize utility subjet to budget constraint Characteristics of solution: Budget exhaustion (non-satiation) For most solutions: psychic tradeo¤ = monetary payo¤ Psychic tradeo¤ is MRS Monetary tradeo¤ is the price ratio 2 From a visual point of view utility maximization corresponds to the following point: (Note that the slope of the budget set is equal to px ) py Graph 35 y IC3 IC2 IC1 B C A D x What’swrong with some of these points? We can see that A P B, A I D, C P A. -
2. Budget Constraint.Pdf
Engineering Economic Analysis 2019 SPRING Prof. D. J. LEE, SNU Chap. 2 BUDGET CONSTRAINT Consumption Choice Sets . A consumption choice set, X, is the collection of all consumption choices available to the consumer. n X = R+ . A consumption bundle, x, containing x1 units of commodity 1, x2 units of commodity 2 and so on up to xn units of commodity n is denoted by the vector xx =(1 ,..., xn ) ∈ X n . Commodity price vector pp =(1 ,..., pn ) ∈R+ 1 Budget Constraints . Q: When is a bundle (x1, … , xn) affordable at prices p1, … , pn? • A: When p1x1 + … + pnxn ≤ m where m is the consumer’s (disposable) income. The consumer’s budget set is the set of all affordable bundles; B(p1, … , pn, m) = { (x1, … , xn) | x1 ≥ 0, … , xn ≥ 0 and p1x1 + … + pnxn ≤ m } . The budget constraint is the upper boundary of the budget set. p1x1 + … + pnxn = m 2 Budget Set and Constraint for Two Commodities x2 Budget constraint is m /p2 p1x1 + p2x2 = m. m /p1 x1 3 Budget Set and Constraint for Two Commodities x2 Budget constraint is m /p2 p1x1 + p2x2 = m. the collection of all affordable bundles. Budget p1x1 + p2x2 ≤ m. Set m /p1 x1 4 Budget Constraint for Three Commodities • If n = 3 x2 p1x1 + p2x2 + p3x3 = m m /p2 m /p3 x3 m /p1 x1 5 Budget Set for Three Commodities x 2 { (x1,x2,x3) | x1 ≥ 0, x2 ≥ 0, x3 ≥ 0 and m /p2 p1x1 + p2x2 + p3x3 ≤ m} m /p3 x3 m /p1 x1 6 Opportunity cost in Budget Constraints x2 p1x1 + p2x2 = m Slope is -p1/p2 a2 Opp. -
3 Lecture 3: Choices from Budget Sets
3 Lecture 3: Choices from Budget Sets Up to now, we have been rather demanding about the data that we need in order to test our models. We have made two important assumptions: that we observe choices from all possible choice sets, and that we observe choice correspondences (i.e. we see all the options that a decision maker would be ‘happy with’). In many cases, we may not be so lucky with our data. Unfortunately, without these two properties, conditions and are no longer necessary or sufficient to guarantee a utility representation. Consider the following example of an incomplete data set. Example 1 Let = and say we observe the following (incomplete) choice correspondence { } ( )= { } { } ( )= { } { } ( )= { } { } This choice correspondence satisfies properties and trivially. is satisfied because we do not observe any choices from sets that are subsets of each other. is satisfied because we never see two objects chosen from the same set. However, there is no way that we can rationalize these choices with a complete preference relation. The first observation implies that ,thesecond  that and the third that 3. Thus, any binary relation that would rationalize these choices   would be intransitive. In fact, in order for theorem 1 to hold, we don’t have to observe choices from all subsets of , but we do have to need at least all subsets of that contain two and three elements (you should go back and look at the proof of theorem 1 and check that you agree with this statement). What about if we drop the assumption that we observe a choice correspondence, and instead observe a choice function? For example, we could ask the following question: Question 1 Let :2 ∅ be a choice function. -
EC9D3 Advanced Microeconomics, Part I: Lecture 2
EC9D3 Advanced Microeconomics, Part I: Lecture 2 Francesco Squintani August, 2020 Budget Set Up to now we focused on how to represent the consumer's preferences. We shall now consider the sour note of the constraint that is imposed on such preferences. Definition (Budget Set) The consumer's budget set is: B(p; m) = fx j (p x) ≤ m; x 2 X g Francesco Squintani EC9D3 Advanced Microeconomics, Part I August, 2020 2 / 49 Budget Set (2) 6 x1 2 L = 2 X = R+ c c c c c c c c c c c c B(p; m) c c c c c c c - x2 Francesco Squintani EC9D3 Advanced Microeconomics, Part I August, 2020 3 / 49 Income and Prices The two exogenous variables that characterize the consumer's budget set are: the level of income m the vector of prices p = (p1;:::; pL). Often the budget set is characterized by a level of income represented by the value of the consumer's endowment x0 (labour supply): m = (p x0) Francesco Squintani EC9D3 Advanced Microeconomics, Part I August, 2020 4 / 49 Utility Maximization The basic consumer's problem (with rational, continuous and monotonic preferences): max u(x) fxg s:t: x 2 B(p; m) Result If p > 0 and u(·) is continuous, then the utility maximization problem has a solution. Proof: If p > 0 (i.e. pl > 0, 8l = 1;:::; L) the budget set is compact (closed, bounded) hence by Weierstrass theorem the maximization of a continuous function on a compact set has a solution. Francesco Squintani EC9D3 Advanced Microeconomics, Part I August, 2020 5 / 49 First Order Condition Result If u(·) is continuously differentiable, the solution x∗ = x(p; m) to the consumer's problem is characterized by the following necessary conditions. -
Slutsky Equation the Basic Consumer Model Is Max U(X), Which Is Solved by the Marshallian X:Px≤Y Demand Function X(P, Y)
Slutsky equation The basic consumer model is max U(x), which is solved by the Marshallian x:px≤y demand function X(p; y). The value of this primal problem is the indirect utility function V (p; y) = U(X(p; y)). The dual problem is minx fp · x j U(x) = ug, which is solved by the Hicksian demand function h(p; u). The value of the dual problem is the expenditure or cost function e(p; u) = p · H(p; u). First show that the Hicksian demand function is the derivative of the expen- diture function. e (p; u) = p · h(p; u) ≤p · h(p + ∆p; u) e (p + ∆p; u) = (p + ∆p) · h(p + ∆p; u) ≤ (p + ∆p) · h(p; u) (p + ∆p) · ∆h ≤ 0 ≤ p · ∆h ∆e = (p + ∆p) · h(p + ∆p; u) − p · h(p; u) ∆p · h(p + ∆p; u) ≤ ∆e ≤ ∆p · h(p; u) For a positive change in a single price pi this gives ∆e hi(p + ∆p; u) ≤ ≤ hi(p; u) ∆pi In the limit, this shows that the derivative of the expenditure function is the Hicksian demand function (and Shephard’s Lemma is the exact same result, for cost minimization by the firm). Also ∆p · h(p + ∆p; u) − ∆p · h(p; u) = ∆p · ∆h ≤ 0 meaning that the substitution effect is negative. Also, the expenditure function lies everywhere below its tangent with respect to p: that is, it is concave in p: e(p + ∆p; u) ≤ (p + ∆p) · h(p; u) = e(p; u) + ∆p · h(p; u) The usual analysis assumes that the consumer starts with no physical en- dowment, just money. -
Chapter 5 Online Appendix: the Calculus of Demand
Chapter 5 Online Appendix: The Calculus of Demand The chapter uses the graphical model of consumer choice to derive the demand for a good by changing the price of the good and the slope of the budget constraint and then plotting the relationship between the prices and the optimal quantities as the demand curve. Figure 5.7 shows this process for three different prices, three budget constraints, and three points on the demand curve. You can see that this graphical approach works well if you need to plot a few points on a demand curve; however, getting the quantity demanded at every price requires us to apply the calculus of utility maximization. Before we do the calculus, let’s review what we know about the demand curve. The chapter defines the demand curve as “the relationship between the quantity of a good that consumers demand and the good’s price, holding all other factors constant.” In the appendix to Chapter 4, we always Figure 5.7 Building an Individual’s Demand Curve (a) (b) Mountain Dew Mountain Dew P = 4 (2 liter bottles) (2 liter bottles) G PG = 1 Income = $20 P = 2 10 10 G PG = $1 PMD = $2 4 3 3 U U 1 2 U U 1 3 2 0 14 20 0 3105 8 14 20 Quantity of grape juice Quantity of grape juice (1 liter bottles) (1 liter bottles) Price of Price of grape juice grape juice ($/bottle) ($/bottle) Caroline’s $4 demand for 2 grape juice $1 1 0 0 14 3 8 14 Quantity of grape juice Quantity of grape juice (1 liter bottles) (1 liter bottles) (a) At her optimal consumption bundle, Caroline purchases (b) A completed demand curve consists of many of these 14 bottles of grape juice when the price per bottle is $1 and quantity-price points. -
Senior Secondary Course ECONOMICS (318)
Senior Secondary Course ECONOMICS (318) 2 Course Coordinator Dr. Manish Chugh fo|k/kue~ loZ/kua iz/kkue~ NATIONAL INSTITUTE OF OPEN SCHOOLING (An Autonomous Institution under MHRD, Govt. of India) A-24-25, Institutional Area, Sector-62, NOIDA-201309 (U.P.) Website: www.nios.ac.in, Toll Free No. 18001809393 Printed on 60 GSM Paper with NIOS Watermark. © National Institute of Open Schooling May, 2015 (,000 Copies) Published by the Secretary, National Institute of Open Schooling, A-24-25, Institutional Area, Sector-62, Noida and printed at M/s #1PGQHHUGV Printers, 5/3, Kirti Nagar, Industrial Area, New Delhi. ADVISORY COMMITTEE Prof. C.B. Sharma Dr. Kuldeep Agarwal Dr. Rachna Bhatia Chairman Director (Academic) Assistant Director (Academic) NIOS, NOIDA (UP) NIOS, NOIDA (UP) NIOS, NOIDA (UP) CURRICULUM COMMITTEE Dr. O.P. Agarwal Sh. J. Khuntia Dr. Padma Suresh (Former Director of the Eco. Deptt.) Associate Professor (Economics) Associate Professor (Economics) NREC College, Meerut University School of Open Learning Sri Venkateshwara College Khurja (UP) Delhi University, Delhi Delhi University, Delhi Prof. Renu Jatana Sh. H.K. Gupta Sh. A.S. Garg Associate Professor, MLSU, Rtd.PGT, From NCT Rtd.Vice Principal, From NCT Udaipur (Rajasthan) New Delhi. New Delhi. Sh. Ramesh Chandra Dr.Manish Chugh Retd. Reader (Economics) Academic Officer (Economics), NCERT, Delhi. NIOS, NOIDA LESSON WRITERS Sh. J. Khuntia Dr. Anupama Rajput Ms.Sapna Chugh Associate Professor (Eco.), Associate Professor, PGT (Economics) School of Open Learning, Janki Devi Memorial College S.V. Public School, Jaipur Univ. of Delhi Univ. of Delhi Dr. Bhawna Rajput Sh. A.S. Garg Dr. -
A Theoretical Exposition of Consumers' Response To
fite, A THEORETICAL EXPOSITION OF CONSUMERS'RESPONSE TO ALTERNATIVE FOOD POLICIES WAITE LIBRARY DEPT. OF AG & APPLIED ECONOMICS 1994 BUFORD AVE. - 232 COB UNIVERSITY OF MINNESOTA ST. PAUL, MN 55108 U.S.A. DEPARTMENT OF AGRICULTURAL AND RESOURCE ECONOMICS DIVISION OF AGRICULTURE AND NATURAL RESOURCES UNIVERSITY OF CALIFORNIA AT BERKELEY WORKING PAPER NO.615 A THEORETICAL EXPOSITION OF CONSUMERS'RESPONSE TO ALTERNATIVE FOOD POLICIES . by G.Mythili WAITE MEMO s r-- " DEPT. OF AG.AND Avr, 1994 BUFORD Av. UNIVERSITY OF N. ST. PAUL,MN 5C This paper was written while the author was a Ford Foundation Post Doctoral Fellow in the Department of Agricultural and Resource Economics, University of California at Berkeley. The author wishes to thank Brian Wright for his helpful comments and suggestions. California Agricultural Experiment Station Giarmini Foundation ofAgricultural Economics August, 1991 37X -79`i 4L3"/55 (//'--6/5 A THEORETICAL EXPOSITION OF CONSUMERS'RESPONSE TO ALTERNATIVE FOOD POLICIES 1.Introduction &his study is an attempt to relate alternative food subsidy programs with reference to the implication for consumer theories. The Government's goal is set on raising the nutritional standard of those who are underfed rather than redistributional aspects. The rationale for such goal assumes away consumer sovereignty. This study is focussed only on consumer sector and ignores production sector merely to avoid complexities involved in the theoretical formulation, though it is recognized that in. most of the thirdworld countries where a significant proportion of the population live on farming and consume their own produce, the linkage between production and consumption decisions does influence the behavioral pattern of an individual as a consumer. -
The Budget Constraint Consumption Sets N a Consumption Set Is the Collection of All Consumption Choices Available to the Consumer
The Budget Constraint Consumption Sets n A consumption set is the collection of all consumption choices available to the consumer. n What constrains consumption choice? n Budgetary, time and other resource limitations. Budget Constraints n A consumption bundle containing x1 units of commodity 1, x2 units of commodity 2 and so on up to xn units of commodity n is denoted by the vector (x1, x2, … , xn). n Commodity prices are p1, p2, … , pn. Budget Constraints n Q: When is a consumption bundle (x1, … , xn) affordable at given prices p1, … , pn? Budget Constraints n Q: When is a bundle (x1, … , xn) affordable at prices p1, … , pn? n A: When p1x1 + … + pnxn ≤ m where m is the consumer’s (disposable) income. Budget Constraints n The bundles that are only just affordable form the consumer’s budget constraint. This is the set { (x1,…,xn) | x1 ≥ 0, …, xn ≥ 0 and p1x1 + … + pnxn = m }. Budget Constraints n The consumer’s budget set is the set of all affordable bundles; B(p1, … , pn, m) = { (x1, … , xn) | x1 ≥ 0, … , xn ≥ 0 and p1x1 + … + pnxn ≤ m } n The budget constraint is the upper boundary of the budget set. Budget Set and Constraint for x2 Two Commodities Budget constraint is m /p2 p1x1 + p2x2 = m. m /p1 x1 Budget Set and Constraint for x2 Two Commodities Budget constraint is m /p2 p1x1 + p2x2 = m. m /p1 x1 Budget Set and Constraint for x2 Two Commodities Budget constraint is m /p2 p1x1 + p2x2 = m. Just affordable m /p1 x1 Budget Set and Constraint for x2 Two Commodities Budget constraint is m /p2 p1x1 + p2x2 = m. -
APEC 5152 - Handout 1
APEC 5152 - Handout 1 February 16, 2017 Micro-Preliminaries Contents 1 Consumer preferences 2 1.1 The indirect utility function . 4 1.2 The expenditure function . 6 1.3 Aggregation . 7 2 Production technologies 8 2.1 The cost function . 9 2.2 The value-added function . 11 2.3 Aggregation . 13 2.3.1 The aggregate cost function and value added function . 13 2.3.2 The aggregate gross national product function . 15 3 Appendix 16 3.1 The Primal-Dual Problem (Envelope Theorem) . 16 3.2 Elasticities and homogenous functions . 18 1 Introduction - microeconomic foundations Throughout these notes, the following notation denotes factor endowments, factor rental rates and output prices. Sectors are indexed by j 2 f1; 2; 3g ; and denote the quantity of sector-j's output by 3 the scalar Yj: Corresponding output prices are denoted p = (p1; p2; p3) 2 R++, with the scalar pj representing the per-unit price of sector-j output. We consider three factor endowments: labor, L; capital, K; and land Z. The corresponding factor rental rates are: w is the wage rate, r is the rate of return to capital, and τ is the unit land rental rate. Represent the vector of factor rental rates by w = (w; r; τ) : 1 Consumer preferences The economy is composed of a large number of atomistic households. Each household faces the η η η η 3 same vector of prices p and the same vector of factor rental rates w. Let υ = (L ;K ;Z ) 2 R++ denote the level of factor endowments held by household-η; with Lη;Kη and Zη representing the η 3 household's endowment of labor, capital and land.