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Ordinal welfarism Ordinal welfarism pursues the welfarist program Voting and Social in those situations where cardinal measurement of individual welfare is either unfeasible, Choice unreliable or ethically untenable In most real life


  1. Ordinal welfarism ■ Ordinal welfarism pursues the welfarist program Voting and Social in those situations where cardinal measurement of individual welfare is either unfeasible, Choice unreliable or ethically untenable ■ In most real life elections voters are not asked to express more than an “ordinal” opinion of the names on the ballot Chapter 4 Moulin ■ If the outcome depends on intensity of voters’ feelings, a minority of fanatics will influence the outcome more than a quiet majority Ordinal welfarism Ordinal welfarism ■ The identification of welfare with preferences, ■ In the ordinal world collective decision making can only be defined if we specify the set A of feasible outcomes and of preferences with choice, is an intellectual (states of the world), and for each agent i a preference construction at the center of modern economic relation Ri on A. ■ The focus is on the distribution of decision power thinking ■ Two central models of social choice theory: a voting ■ Social choice theory adapts the welfarist program problem and a preference aggregation problem to the ordinalist approach ■ These are the most general microeconomic models of cdm because they make no restrictive assumptions ■ Individual welfare can no longer be separated neither on the set A of outcomes or on the admissible from the set A of outcomes to which it applies preference profile of the agents.

  2. Condorcet versus Borda Where Condorcet and Borda agree ■ 21 voters and three ■ Plurality voting is the most widely used voting No. 6 7 8 candidates a,b,c method voters ■ Plurarily elects a yet b is ■ Each voter chooses one of the competing Top b c a more convincing candidates and the candidate with the largest compromise (a more support wins often below b) c b b ■ Condorcet and Borda argued that plurality voting ■ Borda tally: Score is seriously flawed because it reflects only the a=16,b=27,c=20 distribution of the “top” candidates and fails to ■ Condorcet winner b: Bot a a c take into account entire relation of voters bPc, bPa,cPa Where Borda and Condorcet Where Borda and Condorcet Disagree Disagree ■ The profile of 26 voters ■ Borda’s argument relies on No of 15 11 No of 15 11 scoring convention and three candidates voters voters ■ General family of scoring ■ Plurality winner “a” (also include Borda’s and plurality a b a b Condorcet winner) as special cases: ■ Borda winner is “b” – ■ Plurality: s1=1, sk=0 for all k eleven “minority” voters b c b c ■ Borda sk=p-k for k=1, … ,p dislike “a” more than ■ In this example depending on fifteen “majority” dislike “b” scores either a or b selected c a c a but never c (this flexibility contrasts Condorcet)

  3. Condorcet against Scoring Method Condorcet against Scoring Method ■ 81 voters, 3 ■ b wins for any choice of 30 3 25 14 9 30 3 25 14 9 scores, s between [0,1] with candidates s=0 plurality, s=1/2 Borda ■ “b” is plurality and a a b b c a a b b c ■ c fares badly in both scoring Borda winner and Borda (c much more often between b and a when ■ Condorcet winner "a" b c a c a b c a c a b is first choice than between aPb by 42/29 and aPc a and b when a is first choice by 58/23 ■ a Condorcet winer and is c b c a b c b c a b unaffected by the position of a sure loser c score (b) = 39+30s >score (a)=33+34s > score (c) = 9+17s Top score = 1, bottom 0 and s middle Condorcet cycle The Reunion Paradox ■ Majority relation may Two disjoint groups (34 and n1 n2 n3 10 6 6 12 35 members each) who cycle a b b c vote for same candidates ■ n1+n2>n3=>aPb a c b Candidate “a” is majority b a c a ■ n1+n3>n2=>bPc winner among bottom c c a b group (right-handed) ■ n2+n3>n1=>cPa b a c 18 17 Among top group (left- ■ No Condorcet winner handed) we have a cycle a c ■ Proposed to break and removing weakest link c b a cycle at weakest link leads to “a” c a b b

  4. Voting over Resource Allocation Voting over resource allocation ■ For political elections with a few candidates ■ Majority voting works well in a number of arbitrary preferences are a reasonable allocation problems but produces assumption systematic cycling in others ■ When the issue concerns allocation of ■ Scoring methods are hopelessly resources some important restrictions impractical when the set of A outcomes is come into play large (and typically modelled as an infinite set), also because of IIA property Voting over Time shares ex. 4.5 Single-Peaked Preferences ■ Example 2.6: Location of a Facility ■ Can choose any mixture (x1, … x5) where xi represents u y ( ) | y x | = − − time share and sum to one i i ■ Set N agents partitioned into five disjoint groups of one- F z ( ) minded fans ■ If one group has a majority (>n/2) then that station is a y y * 1 y y * 1 + + Condorcet winner and it is played all the time y y * F ( ) F y ( *) 1 F ( ) < ⇒ < = ⇒ − > 2 2 2 2 ■ If no group has an absolute majority then the majority relation is strongly cyclic. ■ Destructive competition: failure of the logic of private contracting (negative externalities)=> instability and unpredictability

  5. Single-Peaked Preferences Single-Peaked Preferences ■ The coincidence of Condorcet and ■ Given an ordering of the set A, we write x<y Utilitarian optimum depends on particular when x on left of y assumption of common utility = distance ■ we say that z is “between” x and y if either x ≤ ■ However, median of distribution is a z ≤ y or y ≤ z ≤ x Condorcet winner (if not util optimum) for a ■ The preference relation Ri is single-peaked much larger domain of individual with peak xi if xi is the top outcome of Ri and preferences called single-peaked for all other outcomes x prefers any outcome preferences in between. Single-Peaked preferences and Single-Peaked preferences IIA ■ Definition of feasible set far away from A does not matter, e.g., [0,100] median 35

  6. Condorcet method is strategy- Strategy proofness example proof ■ A voter has no incentive to lie strategically when reporting a peak of her preferences ■ Even if a group of voters join forces to jointly misrepresent their peaks, they cannot find a move from which they all benefit Proof: Strategy Proofness ■ Ultimate test of incentive-compatibility in mechanism design ■ Simple truth is always best move (whether or not I have information about other agents messages) ■ Two important examples of strategy-proof mechanisms: majority voting over single-peaked preferences and atomistic competitive equilibrium

  7. Gibbard-Satterthwaite theorem ■ Any voting method defined for all rational preferences over a set A of three or more outcomes must fail the strategy proofness property: at some preference profile some agent will be able to “rig” the election to her advantage by reporting untruthfully ■ Technically equivalent to Arrow’s IT 25

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