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Cardinal Welfarism yardstick to compare states of the world In - PowerPoint PPT Presentation

Welfarism Welfarist postulate: distribution of individual welfare across agents is only legitimate Cardinal Welfarism yardstick to compare states of the world In cardinal version individual welfare measured by an index of utility and


  1. Welfarism ■ Welfarist postulate: distribution of individual welfare across agents is only legitimate Cardinal Welfarism yardstick to compare states of the world ■ In cardinal version individual welfare measured by an index of utility and comparisons of utilities between individuals is meaningful Welfarism Welfarism ■ The most basic concept of welfarism is efficiency- ■ The task of the welfarist benevolent dictator fitness (Pareto optimality) is to compare normatively any two utility ■ State y is Pareto superior to x if the move from x to profiles [(u i ),(u i ’)] and decide which one is y is by unanimous consent. best. ■ A state x is Pareto optimal (efficient) if there is no ■ Key idea is that the comparison should follow feasible state y Pareto superior to x the rationality principles of individual ■ The task of cardinal welfarism is to pick among the decision-making: completeness and feasible utility profiles one of the Pareto optimal transitivity ones.

  2. Welfarism Welfarism Classical utilitarian ■ The preference relation is called a social Egalitarian welfare ordering , and the definition and comparison of various swo’s is the object The classical utilitarian expresses the sum fitness principle and the of cardinal welfarism egalitarian expresses the compensation principles ■ The two most prominent instances of swo’s are the classical utilitarian and the egalitarian one. Welfarism Welfarism ■ Microwelfarist viewpoint separates the allocation ■ We will focus on “micro” versions of welfarism, e.g., problem at stake from the rest of our agent’s problem of locating a facility where utility measures characteristics distance from facility � Assumes my utility level measured independently of ■ The context dictates the interpretation of utility, and unconcerned agents in turn, influences the choice of the swo � Separapility property is the basis of the additive ■ The ability to objectively measure and compare representation utilities can be more or less convincing (distance, ■ From this axiomatic analysis three paramount swo’s vitamins vs. pleasure from eating cake, or emerge: classical utilitarianism, egalitarianism, Nash observing art) collective utility function

  3. Additive Collective Utility Function Additive Collective Utility Functions ■ Two basic requirements of swo. ■ Most swo’s of importance are represented ■ Monotonicity: by a collective utility function , namely a real-valued function W(u 1 , … u n ) with the utility profile for argument and the level of collective utility for value. Additive Collective Utility Functions Additive Collective Utility Functions ■ A key property of welfarist rationality is ■ Theorem: the SWO is continuous and IUAs independence of unconcerned agents. It means iff it is represented by an additive CUF, that an agent who has no vested interest in the where g is an increasing and continuous choice between u and u’ because his utility is function. the same in both profiles, can be ignored. = ∑ W u ( ) g u ( ) i i

  4. Additive Collective Utility Functions Additive Collective Utility Functions ■ The Pigou-Dalton transfer principle (fairness ■ An invariance property: independence of property) expresses an aversion for “pure” inequality common scale (ICS) requires us to restrict ■ Say that u 1 <u 2 at profile u and consider a transfer of attention to positive utilities, and states that a utility from 2 to 1 where u 1 ’ ,u 2 ’ are the utilities after simultaneous rescaling of every individual the transfer st: utility function does not affect the underlying ■ u 1 < u 1 ’ ,u 2 ’ <u 2 and u 1 ’ +u 2 ’ =u 1 +u 2 swo. ■ The P-D transfer principle requires that swo increases in a move reducing inequality between agents {for additive g(u 1 )+g(u 2 ) ≤ g(u 1 ’ )+g(u 2 ’ ) which is equivalent to concavity of g} Additive Collective Utility Functions Additive Collective Utility Functions ■ For an additive cuf the ICS property holds ■ The corresponding cuf W take the form true for a very specific family of power functions. � g(z)=z p for a positive p � g(z)=log(z) � g(z) = -z -q for a positive q

  5. Comparing Classical Utilitarianism, Egalitarianism and the Leximin Nash, and Leximin Social Welfare Ordering ■ The central tension between classical utilitarian ■ We focus on the welfarist formulation of the compensation principle as the equalization of individual utilities and egalitarian welfarist objectives is that in the ■ Example 3.1 Pure Lifeboat Problem suppose five agents former the welfare of a single agent may be labelled {1,2,3,4,5} and feasible subsets (less dramatic software sacrificed for the sake of improving total welfare program, background music with 6 programs to choose from): (the slavery of the talented) while in the latter ■ {1,2} {1,3} {1,4} {2,3,5} {3,4,5} {2,4,5} 
 large amounts of joint welfare may be forfeited in All outcomes Pareto optimal 
 order to improve the lot of the worst of individual Suppose utility of staying on boat is 10, swimming 1 ■ Utilitarian and egalitarian arbitrator make same choice ■ Examples follow: ■ Subsets of 3 equally good but better than subsets of 2 utilitarian 30>20, lexicographic (1,1,10,10,10) preferred to (1,1,1,10,10) Example 3.1 Pure Lifeboat Problem Example 3.1 Pure Lifeboat Problem (different utilities) (different utilities) Now assume individual utilities vary across individuals, The egalitarian arbitrator, by contrast, prefers any three-person subset over any two person one; his ranking follows: e.g., tastes for radio programs Agent 1 2 3 4 5 Utility g 10 6 6 5 3 Utility b 0 1 1 1 0 Agent 1 2 3 4 5 Utilitarian calculus: (note numbers different from text) Utility g 10 6 6 5 3 {1,2}=18, {1,3}=18, {1,4} =16, {2,3,5}=16, {3,4,5}=15, {2,4,5}=15 ■ Utility b 0 1 1 1 0 ⇒ {1,2} ∼ {1,3} ≻ {1,4} ≻ {2,3,5} ≻ {3,4,5} ∼ {2,4,5} 19 20

  6. Leximin swo Leximin swo ■ Also called egalitarian swo and sometimes “practical egalitarianism” ■ Given two feasible utility profiles u and u’ we arrange them first in increasing order, from the lowest to highest utility, and denote the new profiles u* and u’*: * * * '* '* '* u u ... u and u u ... u ≤ ≤ ≤ ≤ ≤ ≤ 1 2 n 1 2 n Νο Equality/Efficiency Trade-off Equality/Efficiency Trade-off

  7. No equality/efficiency trade-off Equality/efficiency trade-off Leximin Example: Location of a facility ■ The leximin ordering is preserved under a common ■ A desirable facility must be located somewhere arbitrary (nonlinear) rescaling of the utilities. Thus in the interval [0,1], representing a “linear” city the comparison of u versus u’ is the same as that of ■ Each agent lives at a specific location x i in v=(u) 2 versus v’=(u’) 2 , or of (e ui+Sqrt[ui] ) verus [0,1]; if the facility is located at y, agent I’s (e ui’+Sqrt[ui’] ), etc. disutility is the distance |y-x i |. ■ This property is called independence of the common utility pace ■ The agents are spread arbitrarily along interval ■ Leximin is not the only swo icup, but it is the only [0,1] and the problem is to find a fair one that also respects the Pigou-Dalton transfer compromise location principle.

  8. Example: Location of a facility Example: Location of a facility ■ The unique egalitarian optimum is the midpoint of the ■ The Nash collective utility function is not easy to use range of our agents. in this example because the natural zero of individual utilities is when the facility is located precisely where ■ Classical utilitarianism chooses the median of the the agent in question lives, say x i : then we set 
 distribution of agents, namely the point y u st at most u i (y)=-|y-x i | if the facility is located at y. half of the agents live strictly to the left of y u and at ■ The Nash utility is not defined when some utilities are most half of them strictly to the right negative; therefore we must adjust the zero of each ■ The interpretation of the facility has much to do with agent. the choice between the two solutions ■ The choice of one or another normalization will affect � Information booth, swimming pool =>clas. util the optimal location for the Nash collective utility. � Post office, police station (basic needs)=>egal Example: Location of a facility Example 3.6a Time-Sharing ■ The great advantage of the classical utilitarian utility is to ■ n agents work in a common space (gym) where be independent of individual zeros of utilities the radio must be turned on one of five available stations ■ If we replace utility u i =-|y-x i | by u1 i or u2 i for any number ■ As their tastes differ greatly they ask the manager of agents, the optimal utilitarian location remains the to share the time fairly between the five stations median of the distribution and the preference ranking between any two locations does not change ■ Each agent likes some stations and dislikes some; ■ This independence property uniquely characterizes the if we set her utility at 0 or 1 for a station she classical utilitarian among all cufs. dislikes or likes we have a pure lifeboat problem u 1 i ( y ) = 1 − y − x i ■ The difference is that we allow mixing of timeshares x k (k=1,...,5) st x 1 + … +x 5 =1 u 2 i ( y ) = x i − y − x i x i ≥ 1/ 2 if u 2 j ( y ) = 1 − x j − y − x j x j ≤ 1/ 2 if

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