Preferences and Utility

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Transcription:

Preferences and Utility

How can we formally describe an individual s preference for different amounts of a good? How can we represent his preference for a particular list of goods (a bundle) over another? We will examine under which conditions an individual s preference can be mathematically represented with a utility function. 2

Preference and Choice 3

Preference and Choice 4

Advantages: Preference-based approach: More tractable when the set of alternatives Xhas many elements. Choice-based approach: It is based on observables (actual choices) rather than on unobservables (I.P) Advanced Microeconomic Theory 5

Preference-Based Approach Preferences: attitudes of the decisionmaker towards a set of possible alternatives X. For any x, y X, how do you compare x and y? I prefer x to y (x y) I prefer y to x (y x) I am indifferent (x y) 6

Preference-Based Approach By asking: Tick one box (i.e., not refrain from answering) Tick only one box Don t add any new box in which the individual says, I love x and hate y We impose the assumption: Completeness: individuals must compare any two alternatives, even the ones they don t know. The individual is capable of comparing any pair of alternatives. We don t allow the individual to specify the intensity of his preferences. 7

Preference-Based Approach Completeness: For an pair of alternatives x, y X, the individual decision maker: x y, or y x, or both, i.e., x y Advanced Microeconomic Theory 8

Preference-Based Approach Not all binary relations satisfy Completeness. Example: Is the brother of : John Bob and Bob John if they are not brothers. Is the father of : John Bob and Bob John if the two individuals are not related. Not all pairs of alternatives are comparable according to these two relations. Advanced Microeconomic Theory 9

Preference-Based Approach Advanced Microeconomic Theory 10

Preference-Based Approach Advanced Microeconomic Theory 11

Preference-Based Approach Advanced Microeconomic Theory 12

Preference-Based Approach Advanced Microeconomic Theory 13

Preference-Based Approach Sources of intransitivity: a) Indistinguishable alternatives a) Examples? b) Framing effects c) Aggregation of criteria d) Change in preferences a) Examples? 14

Preference-Based Approach Example 1.1 (Indistinguishable alternatives): Take X = R as a piece of pie and x y if x y 1 (x + 1 y) but x~y if x y < 1 (indistinguishable). Then, 1.5~0.8 since 1.5 0.8 = 0.7 < 1 0.8~0.3 since 0.8 0.3 = 0.5 < 1 By transitivity, we would have 1.5~0.3, but in fact 1.5 0.3 (intransitive preference relation). 15

Preference-Based Approach Other examples: similar shades of gray paint milligrams of sugar in your coffee 16

Preference-Based Approach 17

Preference-Based Approach 18

Preference-Based Approach 19

Preference-Based Approach Example 1.3 (continued): By majority of these considerations: MIT ณ criteria 1 & 3 WSU ณ criteria 1 & 2 Home Univ ณ criteria 2 & 3 MIT Transitivity is violated due to a cycle. A similar argument can be used for the aggregation of individual preferences in group decision-making: Every person in the group has a different (transitive) preference relation but the group preferences are not necessarily transitive ( Condorcet paradox ). 20

Preference-Based Approach 21

Utility Function 22

Utility Function 23

Utility Function 24

Desirability 25

Desirability 26

Desirability 27

Desirability Advanced Microeconomic Theory 28

Desirability 29

Desirability Advanced Microeconomic Theory 30

Desirability 31

Indifference sets 32

Indifference sets x 2 x Upper contour set (UCS) {y 2 +: y x} Indifference set 2 {y +: y ~ x} Lower contour set (LCS) 2 {y +: y x} x 1 33

Indifference sets Note: Strong monotonicity (and monotonicity) implies that indifference curves must be negatively sloped. Hence, to maintain utility level unaffected along all the points on a given indifference curve, an increase in the amount of one good must be accompanied by a reduction in the amounts of other goods. 34

Convexity of Preferences 35

Convexity of Preferences Convexity 1 Advanced Microeconomic Theory 36

Convexity of Preferences 37

Convexity of Preferences Convexity 2 38

Convexity of Preferences 39

Convexity of Preferences Strictly convex preferences x 2 x x λx + (1 λ)y z z y y UCS x 1 40

Convexity of Preferences Convexity but not strict convexity λx + 1 λ y~z Such preference relation is represented by utility function such as u x 1, x 2 = ax 1 + bx 2 where x 1 and x 2 are substitutes. 41

Convexity of Preferences Convexity but not strict convexity λx + 1 λ y~z Such preference relation is represented by utility function such as u x 1, x 2 = min{ax 1, bx 2 } where a, b > 0. 42

Convexity of Preferences Example 1.6 u x 1, x 2 Satisfies convexity Satisfies strict convexity ax 1 + bx 2 X min{ax 1, bx 2 } X ax 1 1 2 + bx 2 1 2 ax 1 2 + bx 2 2 X X 43

Convexity of Preferences Interpretation of convexity 1) Taste for diversification: An individual with convex preferences prefers the convex combination of bundles x and y, than either of those bundles alone. 44

Convexity of Preferences Interpretation of convexity 2) Diminishing marginal rate of substitution: MRS 1,2 u/ x 1 u/ x 2 MRS describes the additional amount of good 1 that the consumer needs to receive in order to keep her utility level unaffected. A diminishing MRS implies that the consumer needs to receive increasingly larger amounts of good 1 in order to accept further reductions of good 2. 45

Convexity of Preferences Diminishing marginal rate of substitution x 2 A 1 unit = x 2 B C 1 unit = x 2 D x 1 x 1 x 1 46

Convexity of Preferences Advanced Microeconomic Theory 47

Convexity of Preferences 48

Quasiconcavity 49

Quasiconcavity 50

Quasiconcavity Quasiconcavity 51

Quasiconcavity 52

Quasiconcavity x 2 x x 1 y y u x u x 1 y u y x 1 53

Quasiconcavity 54

Quasiconcavity 55

Quasiconcavity Concavity implies quasiconcavity 56

Quasiconcavity Advanced Microeconomic Theory 57

Quasiconcavity Concave and quasiconcave utility function (3D) 1 1 4 4 4 1, 2 1 1 u(x 1, x 2 ) = x 1 1 4 x 2 1 u x x x x u x 2 x 1 58

Quasiconcavity 59

v x x Quasiconcavity Convex but quasiconcave utility function (3D) 6 6 4 1, 2 x 4 4 1 xx 1 2 v(x 1, x 2 ) = x 1 6 v x 2 x 1 60

Quasiconcavity 61

Quasiconcavity Advanced Microeconomic Theory 62

Quasiconcavity Example 1.7 (continued): Let us consider the case of only two goods, L = 2. Then, an individual prefers a bundle x = (x 1, x 2 ) to another bundle y = (y 1, y 2 ) iff x contains more units of both goods than bundle y, i.e., x 1 y 1 and x 2 y 2. For illustration purposes, let us take bundle such as (2,1). 63

Quasiconcavity Example 1.7 (continued): Advanced Microeconomic Theory 64

Quasiconcavity Example 1.7 (continued): 1) UCS: The upper contour set of bundle (2,1) contains bundles (x 1, x 2 ) with weakly more than 2 units of good 1 and/or weakly more than 1 unit of good 2: UCS 2,1 = {(x 1, x 2 ) (2,1) x 1 2, x 2 1} The frontiers of the UCS region also represent bundles preferred to (2,1). 65

Quasiconcavity Example 1.7 (continued): 2) LCS: The bundles in the lower contour set of bundle (2,1) contain fewer units of both goods: LCS 2,1 = {(2,1) (x 1, x 2 ) x 1 2, x 2 1} The frontiers of the LCS region also represent bundles with fewer unis of either good 1 or good 2. 66

Quasiconcavity Advanced Microeconomic Theory 67

Quasiconcavity Example 1.7 (continued): 4) Regions A and B: Region A contains bundles with more units of good 2 but fewer units of good 1 (the opposite argument applies to region B). The consumer cannot compare bundles in either of these regions against bundle 2,1. For him to be able to rank one bundle against another, one of the bundles must contain the same or more units of all goods. 68

Quasiconcavity Example 1.7 (continued): 5) Preference relation is not complete: Completeness requires for every pair x and y, either x y or y x (or both). Consider two bundles x, y R + 2 with bundle x containing more units of good 1 than bundle y but fewer units of good 2, i.e., x 1 > y 1 and x 2 < y 2 (as in Region B) Then, we have neither x y nor y x. 69

Quasiconcavity Example 1.7 (continued): 6) Preference relation is transitive: Transitivity requires that, for any three bundles x, y and z, if x y and y z then x z. Now x y and y z means x l y l and y l z l for all l goods. Then, x l z l implies x z. 70

Quasiconcavity Example 1.7 (continued): 7) Preference relation is strongly monotone: Strong monotonicity requires that if we increase one of the goods in a given bundle, then the newly created bundle must be strictly preferred to the original bundle. Now x y and x y implies that x l y l for all good l and x k > y k for at least one good k. Thus, x y and x y implies x y and not y x. Thus, we can conclude that x y. 71

Quasiconcavity Example 1.7 (continued): 8) Preference relation is strictly convex: Strict convexity requires that if x z and y z and x z, then αx + 1 α y z for all α 0,1. Now x z and y z implies that x l y l and y l z l for all good l. x z implies, for some good k, we must have x k > z k. 72

Quasiconcavity Example 1.7 (continued): Hence, for any α 0,1, we must have that αx l + 1 α y l z l for all good l αx k + 1 α y k > z k for some k Thus, we have that αx + 1 α y z and αx + 1 α y z, and so αx + 1 α y z and not z αx + 1 α y Therefore, αx + 1 α y z. 73

Common Utility Functions 74

Common Utility Functions 75

Common Utility Functions Marginal utilities: u > 0 and u > 0 x 1 x 2 A diminishing MRS MRS x1,x 2 = αax 1 α 1 β x 2 βax α β 1 1 x = αx 2 βx 1 2 which is decreasing in x 1. Hence, indifference curves become flatter as x 1 increases. 76

Common Utility Functions Cobb-Douglas preference x 2 A in x 2 B x 2 C D IC 1 unit 1 unit x 1 77

Common Utility Functions 78

Common Utility Functions Perfect substitutes x 2 2A slope A B A B 2B x 1 79

Common Utility Functions 80

Common Utility Functions Advanced Microeconomic Theory 81

Common Utility Functions Perfect complements x 2 x x 2 1 2 u1 u 2 2 A A 1 2 x 1 82

Common Utility Functions 83

Common Utility Functions 84

Common Utility Functions CES preferences x 2 0 0.2 1 8 Perfect substitutes Perfect complement Cobb-Douglas x 1 Advanced Microeconomic Theory 85

Common Utility Functions CES utility function is often presented as u x 1, x 2 = ax 1 ρ + bx2 ρ 1 ρ where ρ σ 1 σ. 86

Common Utility Functions 87

Common Utility Functions MRS of quasilinear preferences Advanced Microeconomic Theory 88

Common Utility Functions For u x 1, x 2 = v x 1 + bx 2, the marginal utilities are u = b and u = v x 2 x 1 which implies MRS x1,x 2 = v x1 b x 1 Quasilinear preferences are often used to represent the consumption of goods that are relatively insensitive to income. Examples: garlic, toothpaste, etc. 89

Continuous Preferences In order to guarantee that preference relations can be represented by a utility function we need continuity. Continuity: A preference relation defined on X is continuous if it is preserved under limits. That is, for any sequence of pairs (x n, y n ) n=1 with x n y n for all n and lim x n = x and lim y n = y, the preference n n relation is maintained in the limiting points, i.e., x y. Advanced Microeconomic Theory 90

Continuous Preferences Intuitively, there can be no sudden jumps (i.e., preference reversals) in an individual preference over a sequence of bundles. Advanced Microeconomic Theory 91

Continuous Preferences Lexicographic preferences are not continuous Consider the sequence x n = 1 n, 0 and yn = (0,1), where n = {0,1,2,3, }. The sequence y n = (0,1) is constant in n. The sequence x n = 1 n It starts at x 1 = x 2 = 1 2, 0, x3 = 1 3, 0, etc., 0 is not: 1,0, and moves leftwards to Advanced Microeconomic Theory 92

Continuous Preferences Thus, the individual prefers: x 1 = 1,0 0,1 = y 1 x 2 1 y n, n, y 1 = y 2 = = y n x 2 = 1 2, 0 0,1 = y2 x 3 = 1, 0 0,1 = y3 3 But, lim n xn = 0,0 0,1 = lim n y n Preference reversal! lim x n = (0,0) n x 4 x 3 x 2 x 1 0 ⅓ ½ ¼ 1 x 1 Advanced Microeconomic Theory 93

Existence of Utility Function If a preference relation satisfies monotonicity and continuity, then there exists a utility function u( ) representing such preference relation. Proof: Take a bundle x 0. By monotonicity, x 0, where 0 = (0,0,, 0). That is, if bundle x 0, it contains positive amounts of at least one good and, it is preferred to bundle 0. Advanced Microeconomic Theory 94

Existence of Utility Function Define bundle M as the bundle where all components coincide with the highest component of bundle x: M = max {x k},, max {x k} k k Hence, by monotonicity, M x. Bundles 0 and M are both on the main diagonal, since each of them contains the same amount of good x 1 and x 2. Advanced Microeconomic Theory 95

Existence of Utility Function x 2 x 1 Advanced Microeconomic Theory 96

Existence of Utility Function By continuity and monotonicity, there exists a bundle that is indifferent to x and which lies on the main diagonal. By monotonicity, this bundle is unique Otherwise, modifying any of its components would lead to higher/lower indifference curves. Denote such bundle as t x, t x,, t(x) Let u x = t x, which is a real number. Advanced Microeconomic Theory 97

Existence of Utility Function Applying the same steps for another bundle y x, we obtain t y, t y,, t(y) and let u y = t y, which is also a real number. We know that x~ t x, t x,, t(x) y~ t y, t y,, t(y) x y Hence, by transitivity, x y iff x~ t x, t x,, t(x) t y, t y,, t(y) ~y Advanced Microeconomic Theory 98

Existence of Utility Function And by monotonicity, x y t x t y u(x) u(y) Note: A utility function can satisfy continuity but still be non-differentiable. For instance, the Leontief utility function, min{ax 1,bx 2 }, is continuous but cannot be differentiated at the kink. Advanced Microeconomic Theory 99

Social and Reference-Dependent Preferences We now examine social, as opposed to individual, preferences. Consider additively separable utility functions of the form u i (x i, x) = f(x i ) + g i (x) where f(x i ) captures individual i s utility from the monetary amount that he receives, x i ; g i (x) measures the utility/disutility he derives from the distribution of payoffs x = (x 1, x 2,..., x N ) among all N individuals. Advanced Microeconomic Theory 100

Social and Reference-Dependent Preferences Fehr and Schmidt (1999): For the case of two players, u i (x i, x j ) = x i α i max x j x i, 0 β i max x i x j, 0 where x i is player i's payoff and j i. Parameter α i represents player i s disutility from envy When x i < x j, max x j x i, 0 max x i x j, 0 = 0. Hence, u i (x i, x j ) = x i α i (x j x i ). = x j x i > 0 but Advanced Microeconomic Theory 101

Social and Reference-Dependent Preferences Parameter β i 0 captures player i's disutility from guilt When x i > x j, max x i x j, 0 max x j x i, 0 = 0. Hence, u i x i, x j = x i β i (x i x j ). = x i x j > 0 but Players envy is stronger than their guilt, i.e., α i β i for 0 β i < 1. Intuitively, players (weakly) suffer more from inequality directed at them than inequality directed at others. Advanced Microeconomic Theory 102

Social and Reference-Dependent Preferences Thus players exhibit concerns for fairness (or social preferences ) in the distribution of payoffs. If α i = β i = 0 for every player i, individuals only care about their material payoff u i (x i, x j ) = x i. Preferences coincide with the individual preferences. Advanced Microeconomic Theory 103

Social and Reference-Dependent Preferences Fehr and Schmidt s (1999) preferences x i 45 o -line IC 2 IC 1 x j Advanced Microeconomic Theory 104

Social and Reference-Dependent Preferences Bolton and Ockenfels (2000): Similar to Fehr and Schmidt (1999), but allow for non-linearities where u i ( ) u i x i, x i x i +x j increases in x i (i.e., selfish component) decreases in the share of total payoffs that individual x i enjoys, i (i.e., social preferences) x i +x j Advanced Microeconomic Theory 105

Social and Reference-Dependent Preferences For instance, u i x i, x i x i +x j = x i α x i x i +x j Letting u = u and solving for x j yields x j = x i α 2 u x i 2 u x i 2 which produces non-linear indifference curves. 1 2 Advanced Microeconomic Theory 106

Social and Reference-Dependent Preferences Andreoni and Miller (2002): A CES utility function ρ ρ u i (x i, x j ) = αx i + 1 α xj 1 ρ where x i and x j are the monetary payoff of individual i rather than the amounts of goods. If individual i is completely selfish, i.e., α = 1, u(x i ) = x i Advanced Microeconomic Theory 107

Social and Reference-Dependent Preferences If α (0,1), parameter ρ captures the elasticity of substitution between individual i's and j's payoffs. That is, if x j decreases by one percent, x i needs to be increased by ρ percent for individual i to maintain his utility level unaffected. Advanced Microeconomic Theory 108

Choice Based Approach We now focus on the actual choice behavior rather than individual preferences. From the alternatives in set A, which one would you choose? A choice structure (B, c( )) contains two elements: 1) B is a family of nonempty subsets of X, so that every element of B is a set B X. Advanced Microeconomic Theory 109

Choice Based Approach Example 1: In consumer theory, B is a particular set of all the affordable bundles for a consumer, given his wealth and market prices. Example 2: B is a particular list of all the universities where you were admitted, among all universities in the scope of your imagination X, i.e., B X. Advanced Microeconomic Theory 110

Choice Based Approach 2) c( ) is a choice rule that selects, for each budget set B, a subset of elements in B, with the interpretation that c(b) are the chosen elements from B. Example 1: In consumer theory, c(b) would be the bundles that the individual chooses to buy, among all bundles he can afford in budget set B; Example 2: In the example of the universities, c(b) would contain the university that you choose to attend. Advanced Microeconomic Theory 111

Choice Based Approach Note: If c(b) contains a single element, c( ) is a function; If c(b) contains more than one element, c( ) is correspondence. Advanced Microeconomic Theory 112

Choice Based Approach Example 1.10 (Choice structures): Define the set of alternatives as X = {x, y, z} Consider two different budget sets B 1 = {x, y} and B 2 = {x, y, z} Choice structure one (B, c 1 ( )) c 1 B 1 = c 1 x, y = {x} c 1 B 2 = c 1 x, y, z = {x} Advanced Microeconomic Theory 113

Choice Based Approach Example 1.10 (continued): Choice structure two (B, c 2 ( )) c 2 B 1 = c 2 x, y = {x} c 2 B 2 = c 2 x, y, z = {y} Is such a choice rule consistent? We need to impose a consistency requirement on the choice-based approach, similar to rationality assumption on the preference-based approach. Advanced Microeconomic Theory 114

Consistency on Choices: the Weak Axiom of Revealed Preference (WARP) Advanced Microeconomic Theory 115

WARP Weak Axiom of Revealed Preference (WARP): The choice structure (B, c( )) satisfies the WARP if: 1) for some budget set B B with x, y B, we have that element x is chosen, x c(b), then 2) for any other budget set B B where alternatives x and y are also available, x, y B, and where alternative y is chosen, y c(b ), then we must have that alternative x is chosen as well, x c(b ). Advanced Microeconomic Theory 116

WARP Example 1.11 (Checking WARP in choice structures): Take budget set B = {x, y} with the choice rule of c x, y = x. Then, for budget set B = {x, y, z}, the legal choice rules are either: c x, y, z = {x}, or c x, y, z = {z}, or c x, y, z = {x, z} Advanced Microeconomic Theory 117

WARP Example 1.11 (continued): This implies, individual decision-maker cannot select c x, y, z {y} c x, y, z {y, z} c x, y, z {x, y} Advanced Microeconomic Theory 118

WARP Example 1.12 (More on choice structures satisfying/violating WARP: Take budget set B = {x, y} with the choice rule of c x, y = {x, y}. Then, for budget set B = {x, y, z}, the legal choices according to WARP are either: c x, y, z = {x, y}, or c x, y, z = {z}, or c x, y, z = {x, y, z} Advanced Microeconomic Theory 119

WARP Example 1.12 (continued): Choice rule satisfying WARP B C(B) x y C(B ) B Advanced Microeconomic Theory 120

WARP Example 1.12 (continued): Choice rule violating WARP B C(B) x y C(B ) B Advanced Microeconomic Theory 121

Consumption Sets Consumption set: a subset of the commodity space R L, denoted by x R L, whose elements are the consumption bundles that the individual can conceivably consume, given the physical constrains imposed by his environment. Let us denote a commodity bundle x as a vector of L components. Advanced Microeconomic Theory 122

Consumption Sets Physical constraint on the labor market Advanced Microeconomic Theory 123

Consumption Sets Consumption at two different locations Beer in Seattle at noon x Beer in Barcelona at noon Advanced Microeconomic Theory 124

Consumption Sets Convex consumption sets: A consumption set X is convex if, for two consumption bundles x, x X, the bundle x = αx + 1 α x is also an element of X for any α (0,1). Intuitively, a consumption set is convex if, for any two bundles that belong to the set, we can construct a straight line connecting them that lies completely within the set. Advanced Microeconomic Theory 125

Consumption Sets: Economic Constraints Assumptions on the price vector in R L : 1) All commodities can be traded in a market, at prices that are publicly observable. This is the principle of completeness of markets It discards the possibility that some goods cannot be traded, such as pollution. 2) Prices are strictly positive for all L goods, i.e., p 0 for every good k. Some prices could be negative, such as pollution. Advanced Microeconomic Theory 126

Consumption Sets: Economic Constraints 3) Price taking assumption: a consumer s demand for all L goods represents a small fraction of the total demand for the good. Advanced Microeconomic Theory 127

Consumption Sets: Economic Constraints Bundle x R + L is affordable if p 1 x 1 + p 2 x 2 + + p L x L w or, in vector notation, p x w. Note that p x is the total cost of buying bundle x = (x 1, x 2,, x L ) at market prices p = (p 1, p 2,, p L ), and w is the total wealth of the consumer. When x R + L then the set of feasible consumption bundles consists of the elements of the set: B p,w = {x R + L : p x w} Advanced Microeconomic Theory 128

Consumption Sets: Economic Constraints Example: B p,w = {x R + 2 : p 1 x 1 + p 2 x 2 w} p 1 x 1 + p 2 x 2 = w x 2 = w p 2 p 1 p 2 x 1 x 2 w p2 p - 1 (slope) p 2 2 {x +:p x = w} w p1 x 1 Advanced Microeconomic Theory 129

Consumption Sets: Economic Constraints Example: B p,w = {x R + 3 : p 1 x 1 + p 2 x 2 + p 3 x 3 w} Budget hyperplane x 3 x 1 x 2 Advanced Microeconomic Theory 130

Consumption Sets: Economic Constraints Price vector p is orthogonal to the budget line B p,w. Note that p x = w holds for any bundle x on the budget line. Take any other bundle x which also lies on B p,w. Hence, p x = w. Then, p x = p x = w p x x = 0 or p x = 0 Advanced Microeconomic Theory 131

Consumption Sets: Economic Constraints Since this is valid for any two bundles on the budget line, then p must be perpendicular to x on B p,w. This implies that the price vector is perpendicular (orthogonal) to B p,w. Advanced Microeconomic Theory 132

Consumption Sets: Economic Constraints The budget set B p,w is convex. We need that, for any two bundles x, x B p,w, their convex combination x = αx + 1 α x also belongs to the B p,w, where α (0,1). Since p x w and p x w, then p x = pαx + p 1 α x = αpx + 1 α px w Advanced Microeconomic Theory 133