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Social Choice: Lecture 16

Ram Singh

Course 001

October 31, 2014

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Preferences and Choices I

Let

Xbe the set of alternatives

Ri be the ‘weak’ preference relation for individuali, defined overX;

i =1, ...,n

Pi be the strict preference relation for individuali Rbe the set of individual preference relations

Obe the set of individual preference relations that are orderings;O⊂R. (R1, ...,Rn)∈Rnbe a profile of preference relations - one for each individuals. That is,

Rn={(R1, ...,Rn)|Ri ∈Rfor eachi=1, ...,n}

Rbe a ‘weak’ Social preference relation;R∈R

Ram Singh: (DSE) Social Choice October 31, 2014 2 / 11

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Preferences and Choices II

Definition

LetS⊆X. A setC(S,R)is the set of ‘best’ elements ofSiff [x ∈C(S,R)]↔(∀y ∈S)[xRy]

The setC(S,R)is also called the choice set generated by the preference relationRdefined over the setS.

Definition

LetS⊆X. A setM(S,R)is the set of Maximual elements ofSiff: For allx ∈S, [x ∈M(S,R)]↔[v(∃y ∈S)(yPx)]

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Preferences and Choices III

Proposition

For any giveS⊆Xand preference relation R, C(S,R)⊆M(S,R).

Proposition

IfS⊆Xis finite and and preference relation R is quasi-ordering, then M(S,R) is non-empty.

LetS={x1, ...,xn}. Leta1=x1,

a2=

x2, ifx2Px1

a1, otherwise.

aj+1=

xj+1, ifxj+1Paj aj, otherwise.

You can verify thatanis a maximal element.

Ram Singh: (DSE) Social Choice October 31, 2014 4 / 11

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Social Choice Rules (SCR) I

Assumption

Every social preference relationRhas strict preference relationP and indifference preference relationIassociated with it.P andIare such that:

For allx,y ∈X

xPy ↔ xRy andv(yRx) xIy ↔ xRy andyRx

Assumption

We assume individual preferences are orderings, i.e., are reflexive, complete and transitive. That is, for alli =1, ..,n,Ri ∈O.

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Social Choice Rules (SCR) II

Definition

A SCR is a function

f :On7→R, such that,

(∀(R1, ...,Rn)∈On)[f(R1, ...,Rn) =R∈R].

Definition

A SCRf is decisive iff∀(R1, ...,Rn)∈On, the social preference relation generated byf is complete, i.e., iff∀(R1, ...,Rn)∈On,f(R1, ...,Rn) =Ris complete.

Definition

A SCR is rational if∀(R1, ...,Rn)∈On, the social preference relation generated byf, i.e.,f(R1, ...,Rn) =R, is an ordering.

Ram Singh: (DSE) Social Choice October 31, 2014 6 / 11

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Pareto Criterion as SCR I

Definition

Pareto Criterion: Forx,y ∈X,

xRy¯ ↔ [(∀i ∈N)[xRiy]]

xP¯y ↔ [xRy¯ & v(yRx¯ )]

xI¯y ↔ [xRy¯ &yRx¯ ]

Definition

The SCR is the Pareto Criterion iff

xRy ↔ xRy¯ , i.e., xRy ↔ [(∀i ∈N)[xRiy]]

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Pareto Criterion as SCR II

Definition

The SCR is Pareto inclusive, i.e., satisfies the Pareto Criterion if: For all x,y ∈X

(∀i ∈N)[xRiy],i.e.,xRy¯ ⇒ xRy xRy¯ and vyRx¯ ⇒ xPy

Proposition

RelationR¯ is a quasi-ordering. That is, it is reflexive and transitive.

Proposition

If Pareto Criterion is used as a SCR, then for any finiteS⊆Xthe set of maximal elements for is non-empty.

Ram Singh: (DSE) Social Choice October 31, 2014 8 / 11

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Pareto Criterion as SCR III

Proposition

Pareto Criterion is a decisive SCR iff

(∀x,y ∈X)[(∃i ∈N)[xPiy]⇒(∀j ∈N)[xRjy]]

Suppose,∃i∈Nsuch thatxPiy, and at the same time∃j ∈Nsuch thatyPjx. In that case, we have

vxRy¯ and v(yRx¯ ),i.e., Therefore, the condition is necessary.

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SCRs: Desirable Features I

Definition

A SCR is called a SWF, iff :On7→O. That is,

(∀(R1, ...,Rn)∈On)[f(R1, ...,Rn) =R∈O].

Definition

Condition U: A SCRf satisfies condition of ’unrestricted domain’, if its domain isOn. That is,f generates a social preference relation for every possible profile of individual preferences.

Definition

Condition P: A SCRf satisfies condition of ’weak Pareto principle’, if (∀x,y ∈X)(∀i ∈N)[xPiy ⇒xPy].

Ram Singh: (DSE) Social Choice October 31, 2014 10 / 11

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SCRs: Desirable Features II

Definition

Condition I: Take anyS⊆X, and ANY two profiles of individual orderings, say (R1, ...,Rn)and(R10, ...,R0n). Letf(R1, ...,Rn) =Randf(R10, ...,Rn0) =R0. A SCRf satisfies condition of ‘independence of irrelevant alternatives’ if the following holds:

(∀x,y ∈S)(∀i ∈N)[xRiy ↔xRi0y]⇒C(S,R) =C(S,R0)

Definition

Condition D: A SCRf satisfies condition of ’non-dictatorship’, if there is NO individuali ∈Nsuch that

(∀x,y ∈X)[xPiy ⇒xPy].

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