General Aspects of Social Choice Theory Christian Klamler - - PowerPoint PPT Presentation

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General Aspects of Social Choice Theory Christian Klamler - - PowerPoint PPT Presentation

Overview Formal Framework Arrows theorem Sens Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature General Aspects of Social Choice Theory Christian Klamler University of Graz 10. April 2010 Overview Formal Framework


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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

General Aspects of Social Choice Theory

Christian Klamler University of Graz

  • 10. April 2010
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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Aggregation not only important for voting theory but also for welfare economics

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Aggregation not only important for voting theory but also for welfare economics Decision between different policies that have different impact

  • n different people
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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Aggregation not only important for voting theory but also for welfare economics Decision between different policies that have different impact

  • n different people

Some historical aspects

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Aggregation not only important for voting theory but also for welfare economics Decision between different policies that have different impact

  • n different people

Some historical aspects

Bentham - utilitarianism

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Aggregation not only important for voting theory but also for welfare economics Decision between different policies that have different impact

  • n different people

Some historical aspects

Bentham - utilitarianism challenged in the 1930s

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Aggregation not only important for voting theory but also for welfare economics Decision between different policies that have different impact

  • n different people

Some historical aspects

Bentham - utilitarianism challenged in the 1930s

  • rdinal vs. cardinal
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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Main goal: Formal introduction to Social Choice Theory

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Main goal: Formal introduction to Social Choice Theory Elaborate the formal framework

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Main goal: Formal introduction to Social Choice Theory Elaborate the formal framework State and ”prove” 3 most famous social choice results:

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Main goal: Formal introduction to Social Choice Theory Elaborate the formal framework State and ”prove” 3 most famous social choice results:

Arrow’s theorem - general aspects (1951)

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Main goal: Formal introduction to Social Choice Theory Elaborate the formal framework State and ”prove” 3 most famous social choice results:

Arrow’s theorem - general aspects (1951) Sen’s theorem - freedom aspects (1970)

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Overview

Main goal: Formal introduction to Social Choice Theory Elaborate the formal framework State and ”prove” 3 most famous social choice results:

Arrow’s theorem - general aspects (1951) Sen’s theorem - freedom aspects (1970) Gibbard-Satterthwaite theorem - strategic aspects (1973/75)

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Collective Decision Rule

Collective Decision Rule

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Collective Decision Rule

Collective Decision Rule

What are we doing when we look for a collective decision?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Collective Decision Rule

Collective Decision Rule

What are we doing when we look for a collective decision? Use a function (collective decision rule) that assigns to any input of individual preferences a social outcome.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Collective Decision Rule

Collective Decision Rule

What are we doing when we look for a collective decision? Use a function (collective decision rule) that assigns to any input of individual preferences a social outcome.

What is the input?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Collective Decision Rule

Collective Decision Rule

What are we doing when we look for a collective decision? Use a function (collective decision rule) that assigns to any input of individual preferences a social outcome.

What is the input? What is the output?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Collective Decision Rule

Collective Decision Rule

What are we doing when we look for a collective decision? Use a function (collective decision rule) that assigns to any input of individual preferences a social outcome.

What is the input? What is the output? What does the collective decision rule look like?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

xPy ⇔ xRy ∧ ¬yRx

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

xPy ⇔ xRy ∧ ¬yRx xIy ⇔ xRy ∧ yRx

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

xPy ⇔ xRy ∧ ¬yRx xIy ⇔ xRy ∧ yRx

Definition A binary relation R on X is

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

xPy ⇔ xRy ∧ ¬yRx xIy ⇔ xRy ∧ yRx

Definition A binary relation R on X is

complete

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

xPy ⇔ xRy ∧ ¬yRx xIy ⇔ xRy ∧ yRx

Definition A binary relation R on X is

complete if ∀x, y ∈ X, either xRy or yRx

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X of alternatives/candidates or social states with certain characteristics. Finite set N of voters. Individual preferences over X by individual i are given as binary relation Ri ⊆ X × X, and we write xRiy to denote x at least as good as y in i’s terms. Given R we can construct two related preferences P (strict preference) and I (indifference):

xPy ⇔ xRy ∧ ¬yRx xIy ⇔ xRy ∧ yRx

Definition A binary relation R on X is

complete if ∀x, y ∈ X, either xRy or yRx reflexive

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature Individual preferences

What is the input?

Finite set X

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz quasi-transitive

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz quasi-transitive if ∀x, y, z ∈ X, xPy and yPz implies xPz

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz quasi-transitive if ∀x, y, z ∈ X, xPy and yPz implies xPz acyclic

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz quasi-transitive if ∀x, y, z ∈ X, xPy and yPz implies xPz acyclic if ∀x, y, z1, ..., zk ∈ X, xPz1, z1Pz2, ..., zkPy implies xRy

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz quasi-transitive if ∀x, y, z ∈ X, xPy and yPz implies xPz acyclic if ∀x, y, z1, ..., zk ∈ X, xPz1, z1Pz2, ..., zkPy implies xRy Definition R is called a weak order if it is complete, reflexive and transitive.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preferences and Properties

Definition A binary relation R on X is transitive if ∀x, y, z ∈ X, xRy and yRz implies xRz quasi-transitive if ∀x, y, z ∈ X, xPy and yPz implies xPz acyclic if ∀x, y, z1, ..., zk ∈ X, xPz1, z1Pz2, ..., zkPy implies xRy Definition R is called a weak order if it is complete, reflexive and transitive. Example Let X = {x, y, z} and xPy,yIz and xIz. What properties does this relation satisfy?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preference profile

Definition A preference profile is an n-tuple of weak orders p = (R1, ..., Rn).

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Preference profile

Definition A preference profile is an n-tuple of weak orders p = (R1, ..., Rn). Usually in social choice theory we work with linear orders, i.e. strict rankings of the alternatives.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities:

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities: singletons from X

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities: singletons from X subsets from X

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities: singletons from X subsets from X binary relations on X

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities: singletons from X subsets from X binary relations on X choice functions on X

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities: singletons from X subsets from X binary relations on X choice functions on X What is a choice function?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

What is the output?

What is it that we want to get as social output? There are various possibilities: singletons from X subsets from X binary relations on X choice functions on X What is a choice function? Definition (Choice function) Let X be the set of all non-empty subsets of X. A choice function is a function C : X → X s.t. ∀S ∈ X, C(S) ⊆ S.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Choice and preferences

Is there a relationship between choices and preferences?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Choice and preferences

Is there a relationship between choices and preferences? Definition (Rationalizability) A choice function C is rationalizable if there exists a preference R s.t. ∀S ∈ X, C(S) = {x ∈ S : ∀y ∈ S, xRy}.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Choice and preferences

Is there a relationship between choices and preferences? Definition (Rationalizability) A choice function C is rationalizable if there exists a preference R s.t. ∀S ∈ X, C(S) = {x ∈ S : ∀y ∈ S, xRy}. Example Which choice function is rationalized by xPy, yIz and xIz?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Choice and preferences

Is there a relationship between choices and preferences? Definition (Rationalizability) A choice function C is rationalizable if there exists a preference R s.t. ∀S ∈ X, C(S) = {x ∈ S : ∀y ∈ S, xRy}. Example Which choice function is rationalized by xPy, yIz and xIz? Is every choice function rationalizable by a preference R?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Choice and preferences

Is there a relationship between choices and preferences? Definition (Rationalizability) A choice function C is rationalizable if there exists a preference R s.t. ∀S ∈ X, C(S) = {x ∈ S : ∀y ∈ S, xRy}. Example Which choice function is rationalized by xPy, yIz and xIz? Is every choice function rationalizable by a preference R? Example Let X = {x, y, z} and the choice function be s.t. C({x, y, z} = C({x, y}) = y and C({x, z}) = C({y, z}) = z.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Collective decision rules

Now the type of output determines what type of collective decision rule we consider.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Collective decision rules

Now the type of output determines what type of collective decision rule we consider. Definition (Preference aggregation rule) Let B denote the set of all complete and reflexive binary relations

  • n X and R ⊆ B the set of all weak orders.

A preference aggregation rule is a mapping f : Rn → B

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Collective decision rules

Now the type of output determines what type of collective decision rule we consider. Definition (Preference aggregation rule) Let B denote the set of all complete and reflexive binary relations

  • n X and R ⊆ B the set of all weak orders.

A preference aggregation rule is a mapping f : Rn → B Other types of collective decision rules:

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Collective decision rules

Now the type of output determines what type of collective decision rule we consider. Definition (Preference aggregation rule) Let B denote the set of all complete and reflexive binary relations

  • n X and R ⊆ B the set of all weak orders.

A preference aggregation rule is a mapping f : Rn → B Other types of collective decision rules: Social Welfare Function: f : Rn → R

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Collective decision rules

Now the type of output determines what type of collective decision rule we consider. Definition (Preference aggregation rule) Let B denote the set of all complete and reflexive binary relations

  • n X and R ⊆ B the set of all weak orders.

A preference aggregation rule is a mapping f : Rn → B Other types of collective decision rules: Social Welfare Function: f : Rn → R Social Decision Function: f : Rn → A, where A is the set of all complete, reflexive and acyclic binary relations on X.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Collective decision rules

Now the type of output determines what type of collective decision rule we consider. Definition (Preference aggregation rule) Let B denote the set of all complete and reflexive binary relations

  • n X and R ⊆ B the set of all weak orders.
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Examples of collective decision rules

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Examples of collective decision rules

Example f : Rn → B is called simple majority rule if ∀p ∈ Rn and all x, y ∈ X, xRy if and only if |{i ∈ N : xRiy}| ≥ |{i ∈ N : yRix}|.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Examples of collective decision rules

Example f : Rn → B is called simple majority rule if ∀p ∈ Rn and all x, y ∈ X, xRy if and only if |{i ∈ N : xRiy}| ≥ |{i ∈ N : yRix}|. For the following example let for all B ∈ B and S ∈ X, M(S, R) = {x ∈ S|∄y ∈ S : yPx}.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Examples of collective decision rules

Example f : Rn → B is called simple majority rule if ∀p ∈ Rn and all x, y ∈ X, xRy if and only if |{i ∈ N : xRiy}| ≥ |{i ∈ N : yRix}|. For the following example let for all B ∈ B and S ∈ X, M(S, R) = {x ∈ S|∄y ∈ S : yPx}. Also, let for all B ∈ B, B∗ denote its transitive closure, i.e. xB∗y if and only if there exists a sequence z1, z2, ..., zk ∈ X s.t. xBz1, z1Bz2, ... ,zkBy.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Examples of collective decision rules

Example f : Rn → B is called simple majority rule if ∀p ∈ Rn and all x, y ∈ X, xRy if and only if |{i ∈ N : xRiy}| ≥ |{i ∈ N : yRix}|. For the following example let for all B ∈ B and S ∈ X, M(S, R) = {x ∈ S|∄y ∈ S : yPx}. Also, let for all B ∈ B, B∗ denote its transitive closure, i.e. xB∗y if and only if there exists a sequence z1, z2, ..., zk ∈ X s.t. xBz1, z1Bz2, ... ,zkBy. Example The transitive closure rule assigns to all p ∈ Rn a choice function

  • n X s.t. ∀S ∈ X, C(S) = M(S, B∗), where B∗ is the transitive

closure of the simple majority relation B for p.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Examples of collective decision rules

Example f : Rn → B is called simple majority rule if ∀p ∈ Rn and all x, y ∈ X, xRy if and only if |{i ∈ N : xRiy}| ≥ |{i ∈ N : yRix}|. For the following example let for all B ∈ B and S ∈ X, M(S, R) = {x ∈ S|∄y ∈ S : yPx}. Also, let for all B ∈ B, B∗ denote its transitive closure, i.e. xB∗y if and only if there exists a sequence z1, z2, ..., zk ∈ X s.t. xBz1, z1Bz2, ... ,zkBy. Example The transitive closure rule assigns to all p ∈ Rn a choice function

  • n X s.t. ∀S ∈ X, C(S) = M(S, B∗), where B∗ is the transitive

closure of the simple majority relation B for p. Let X = {x, y, z}, what does the transitive closure rule give for the Condorcet paradox?

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Properties of social welfare functions

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Properties of social welfare functions

Definition (Unrestricted Domain) The domain of f includes all logically possible n-tuples of individual weak orders over X.

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Properties of social welfare functions

Definition (Unrestricted Domain) The domain of f includes all logically possible n-tuples of individual weak orders over X. Definition (Weak Pareto) For all p ∈ Rn and all x, y ∈ X; ∀i ∈ N, xPiy implies xPy.

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Properties of social welfare functions

Definition (Unrestricted Domain) The domain of f includes all logically possible n-tuples of individual weak orders over X. Definition (Weak Pareto) For all p ∈ Rn and all x, y ∈ X; ∀i ∈ N, xPiy implies xPy. Definition (Independence of Irrelevant Alternatives) For all p, p′ ∈ Rn and all x, y ∈ X; ∀i ∈ N, xRiy ⇔ xR′

i y implies

xRy ⇔ xR′y.

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Properties of social welfare functions

Definition (Unrestricted Domain) The domain of f includes all logically possible n-tuples of individual weak orders over X. Definition (Weak Pareto) For all p ∈ Rn and all x, y ∈ X; ∀i ∈ N, xPiy implies xPy. Definition (Independence of Irrelevant Alternatives) For all p, p′ ∈ Rn and all x, y ∈ X; ∀i ∈ N, xRiy ⇔ xR′

i y implies

xRy ⇔ xR′y. Which social welfare functions satisfy those three conditions?

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Properties of social welfare functions

Definition (Unrestricted Domain) The domain of f includes all logically possible n-tuples of individual weak orders over X. Definition (Weak Pareto) For all p ∈ Rn and all x, y ∈ X; ∀i ∈ N, xPiy implies xPy. Definition (Independence of Irrelevant Alternatives) For all p, p′ ∈ Rn and all x, y ∈ X; ∀i ∈ N, xRiy ⇔ xR′

i y implies

xRy ⇔ xR′y. Which social welfare functions satisfy those three conditions? Dictatorship

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Arrow’s impossibility theorem

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Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Arrow’s impossibility theorem

Definition (Nondictatorship) ∄i ∈ N s.t. ∀p ∈ Rn and x, y ∈ X, xPiy implies xPy. Theorem (Arrow’s theorem) Let |N| ≥ 2 and |X| ≥ 3. There exists no SWF that satisfies UD, WP, IIA and ND.

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate?

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule satisfies UD, IIA, ND

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule satisfies UD, IIA, ND but violates WP

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule satisfies UD, IIA, ND but violates WP Borda rule

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule satisfies UD, IIA, ND but violates WP Borda rule satisfies UD, WP, ND

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule satisfies UD, IIA, ND but violates WP Borda rule satisfies UD, WP, ND but violates IIA

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Rules and those properties

Before proving Arrow’s theorem, which of the properties do certain rules violate? Dictatorship satisfies UD, WP, IIA but violates ND constant rule satisfies UD, IIA, ND but violates WP Borda rule satisfies UD, WP, ND but violates IIA Example (Violation of IIA by Borda rule) R1 R2 R3 R′

1

R′

2

R′

3

a d d a d d c c c b c c b a a d a a d b b c b b

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Proof of Arrow’s theorem

For the proof we need the following definitions:

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Proof of Arrow’s theorem

For the proof we need the following definitions: Definition (Decisiveness) G ⊆ N is decisive over the ordered pair {x, y}, ¯ DG(x, y) iff xPiy, ∀i ∈ G implies xPy.

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Proof of Arrow’s theorem

For the proof we need the following definitions: Definition (Decisiveness) G ⊆ N is decisive over the ordered pair {x, y}, ¯ DG(x, y) iff xPiy, ∀i ∈ G implies xPy. Definition (Almost decisiveness) G ⊆ N is almost decisive over ordered pair {x, y}, DG(x, y) iff xPiy, ∀i ∈ G and yPix, ∀i ∈ N\G implies xPy.

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Two lemmata (Sen)

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Two lemmata (Sen)

The proof of Arrow’s theorem is achieved in different forms. One is via the following two lemmata:

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Two lemmata (Sen)

The proof of Arrow’s theorem is achieved in different forms. One is via the following two lemmata: Lemma (Field expansion lemma) For any SWF satisfying UD, WP and IIA and |X| ≥ 3, if a group G is almost decisive over some ordered pair {x, y}, then it is decisive

  • ver every ordered pair, i.e.

[∃x, y ∈ X : DG(x, y)] ⇒

  • ∀a, b ∈ X : ¯

DG(a, b)

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Two lemmata (Sen)

The proof of Arrow’s theorem is achieved in different forms. One is via the following two lemmata: Lemma (Field expansion lemma) For any SWF satisfying UD, WP and IIA and |X| ≥ 3, if a group G is almost decisive over some ordered pair {x, y}, then it is decisive

  • ver every ordered pair, i.e.

[∃x, y ∈ X : DG(x, y)] ⇒

  • ∀a, b ∈ X : ¯

DG(a, b)

  • Lemma (Group contraction lemma)

For any SWF satisfying UD, WP and IIA and |X| ≥ 3, if any group G with |G| > 1 is decisive, then so is some proper subgroup of G.

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy because of DG(x, y)

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy because of DG(x, y) aPb

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy because of DG(x, y) aPb because of (quasi) transitivity of f

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy because of DG(x, y) aPb because of (quasi) transitivity of f by IIA this only depends on orderings of a and b

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy because of DG(x, y) aPb because of (quasi) transitivity of f by IIA this only depends on orderings of a and b of which only those in group G have been specified

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Field expansion lemma

Consider X = {x, y, a, b} and the following profile where DG(x, y): i ∈ G rest(k / ∈ G) a aPkx x yPkb y yPkx b aPx and yPb because of WP xPy because of DG(x, y) aPb because of (quasi) transitivity of f by IIA this only depends on orderings of a and b of which only those in group G have been specified Hence: ¯ DG(a, b)

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Group contraction lemma

Partition G into G1 and G2

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G xPz or zRx by completeness of R

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G xPz or zRx by completeness of R xPz or yPx

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G xPz or zRx by completeness of R xPz or yPx by yPz and transitivity of R

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G xPz or zRx by completeness of R xPz or yPx by yPz and transitivity of R hence either G1 is almost decisive over {x, z}

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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G xPz or zRx by completeness of R xPz or yPx by yPz and transitivity of R hence either G1 is almost decisive over {x, z}

  • r G2 is almost decisive over {y, x}
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Group contraction lemma

Partition G into G1 and G2 G1 G2 rest(k / ∈ G) x y z y z x z x y yPz by decisiveness of G xPz or zRx by completeness of R xPz or yPx by yPz and transitivity of R hence either G1 is almost decisive over {x, z}

  • r G2 is almost decisive over {y, x}

from field expansion lemma either G1 or G2 is decisive

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Proof of Arrow’s theorem

Proof.

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Proof of Arrow’s theorem

Proof. WP and field expansion lemma implies that N is decisive

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Proof of Arrow’s theorem

Proof. WP and field expansion lemma implies that N is decisive by the group contraction lemma we can eliminate members of N until we are left with a dictator.

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Proofs and resolutions

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Proofs and resolutions

Other proof techniques have been used by e.g. Saari or Austen-Smith and Banks.

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Proofs and resolutions

Other proof techniques have been used by e.g. Saari or Austen-Smith and Banks.

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Proofs and resolutions

Other proof techniques have been used by e.g. Saari or Austen-Smith and Banks. Ways to overcome the negative results?

Domain restrictions (single-peaked preferences)

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Proofs and resolutions

Other proof techniques have been used by e.g. Saari or Austen-Smith and Banks. Ways to overcome the negative results?

Domain restrictions (single-peaked preferences) Relaxing the consistency conditions of the social outcome to quasi-transitivity or acyclicity.

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Proofs and resolutions

Other proof techniques have been used by e.g. Saari or Austen-Smith and Banks. Ways to overcome the negative results?

Domain restrictions (single-peaked preferences) Relaxing the consistency conditions of the social outcome to quasi-transitivity or acyclicity. Use of broader informational basis, i.e. interpersonal comparisons

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Proofs and resolutions

Other proof techniques have been used by e.g. Saari or Austen-Smith and Banks. Ways to overcome the negative results?

Domain restrictions (single-peaked preferences) Relaxing the consistency conditions of the social outcome to quasi-transitivity or acyclicity. Use of broader informational basis, i.e. interpersonal comparisons

but many resolutions lead to other ”dictator-like” results with veto rights or oligarchies

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Sen’s Liberal Paradox

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Sen’s Liberal Paradox

We have not considered any aspects of choices among alternatives that lie in one’s private domain.

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Sen’s Liberal Paradox

We have not considered any aspects of choices among alternatives that lie in one’s private domain. [Sen, 1970] If you prefer to have pink walls rather then white, the society should permit you to have this even if a majoritiy of the community would like to see your walls white.

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Sen’s liberal paradox

Let f : Rn → A be a social decision function and consider the following property:

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Sen’s liberal paradox

Let f : Rn → A be a social decision function and consider the following property: Definition (Minimal Liberalism) There exist at least 2 individuals s.t. each of them is decisive over at least one pair of alternatives, i.e. if i is decisive over (x, y), then xPiy ⇒ xPy.

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Sen’s liberal paradox

Let f : Rn → A be a social decision function and consider the following property: Definition (Minimal Liberalism) There exist at least 2 individuals s.t. each of them is decisive over at least one pair of alternatives, i.e. if i is decisive over (x, y), then xPiy ⇒ xPy. Theorem (Sen, 1970) There exists no social decision function satisfying UD, WP and ML.

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Proof

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Proof

Proof. Let X = {x, y, z} and i, j ∈ N be such that ¯ Di(x, y) and ¯ Dj(x, z). The preferences are considered as follows:

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Proof

Proof. Let X = {x, y, z} and i, j ∈ N be such that ¯ Di(x, y) and ¯ Dj(x, z). The preferences are considered as follows: Ri Rj rest(k = i, j) x y yPkz y z z x

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Proof

Proof. Let X = {x, y, z} and i, j ∈ N be such that ¯ Di(x, y) and ¯ Dj(x, z). The preferences are considered as follows: Ri Rj rest(k = i, j) x y yPkz y z z x xPy because of ML of i

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Proof

Proof. Let X = {x, y, z} and i, j ∈ N be such that ¯ Di(x, y) and ¯ Dj(x, z). The preferences are considered as follows: Ri Rj rest(k = i, j) x y yPkz y z z x xPy because of ML of i yPz because of WP

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Proof

Proof. Let X = {x, y, z} and i, j ∈ N be such that ¯ Di(x, y) and ¯ Dj(x, z). The preferences are considered as follows: Ri Rj rest(k = i, j) x y yPkz y z z x xPy because of ML of i yPz because of WP zPx because of ML of j

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Proof

Proof. Let X = {x, y, z} and i, j ∈ N be such that ¯ Di(x, y) and ¯ Dj(x, z). The preferences are considered as follows: Ri Rj rest(k = i, j) x y yPkz y z z x xPy because of ML of i yPz because of WP zPx because of ML of j Leads to a cycle!

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Relevance

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Relevance

liberal values conflict with the Pareto principle in a basic sense

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Relevance

liberal values conflict with the Pareto principle in a basic sense Compared to Arrow’s theorem

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Relevance

liberal values conflict with the Pareto principle in a basic sense Compared to Arrow’s theorem

it also works if we just consider the possibility of choices, i.e. acyclic social preferences

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Relevance

liberal values conflict with the Pareto principle in a basic sense Compared to Arrow’s theorem

it also works if we just consider the possibility of choices, i.e. acyclic social preferences it does not use the rather criticized IIA condition

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Relevance

liberal values conflict with the Pareto principle in a basic sense Compared to Arrow’s theorem

it also works if we just consider the possibility of choices, i.e. acyclic social preferences it does not use the rather criticized IIA condition there is no satisfactory resolution via a broadening of the informational basis through interpersonal comparisons

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Strategic aspects in voting

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Strategic aspects in voting

Strategic aspects in voting have been known for a long time:

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Strategic aspects in voting

Strategic aspects in voting have been known for a long time: My scheme is only intended for honest men! [Borda]

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Strategic aspects in voting

Strategic aspects in voting have been known for a long time: My scheme is only intended for honest men! [Borda] Voters adopt a principle of voting which makes it more of a game of skill than a real test of the wishes of the

  • electors. [Dodgson]
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Strategic aspects in voting

Strategic aspects in voting have been known for a long time: My scheme is only intended for honest men! [Borda] Voters adopt a principle of voting which makes it more of a game of skill than a real test of the wishes of the

  • electors. [Dodgson]

Politicians are continually poking and pushing the world to get the results they want. The reason they do this is they believe (and rightly so) that they can change

  • utcomes by their efforts. It is often the case that voting

need not have turned out the way it did. [Riker]

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Manipulability

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Manipulability

Let p = (R1, ..., Rn) ∈ Rn and let (p−i, p′

i) denote the profile

p′ = (R1, ..., R

i , ..., Rn). Now:

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Manipulability

Let p = (R1, ..., Rn) ∈ Rn and let (p−i, p′

i) denote the profile

p′ = (R1, ..., R

i , ..., Rn). Now:

Definition (Manipulability) Social choice rule f : Rn → X is manipulable by i at profile p via R

i if f (p′)Pif (p).

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Manipulability

Let p = (R1, ..., Rn) ∈ Rn and let (p−i, p′

i) denote the profile

p′ = (R1, ..., R

i , ..., Rn). Now:

Definition (Manipulability) Social choice rule f : Rn → X is manipulable by i at profile p via R

i if f (p′)Pif (p).

Theorem (Gibbard-Satterthwaite) Let |N| ≥ 2 and |X| ≥ 3. If f is non-manipulable and satisfies WP, it is a dictatorship.

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Conclusion

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Conclusion

We have discussed 3 of the major impossibility results in Social Choice Theory

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Conclusion

We have discussed 3 of the major impossibility results in Social Choice Theory There is an inconsistency between basic reasonable properties. [Arrow]

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Conclusion

We have discussed 3 of the major impossibility results in Social Choice Theory There is an inconsistency between basic reasonable properties. [Arrow] There is an inconsistency between basic liberal aspects and the Pareto principle. [Sen]

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Conclusion

We have discussed 3 of the major impossibility results in Social Choice Theory There is an inconsistency between basic reasonable properties. [Arrow] There is an inconsistency between basic liberal aspects and the Pareto principle. [Sen] There is an inconsistency between basic strategic aspects and the Pareto principle. [Gibbard-Satterthwaite]

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Literature

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Literature

Some basic literature:

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Literature

Some basic literature: Arrow, K.J. (1963): Social choice and Individual Values (2nd ed.). Yale University Press, New Haven. Sen, A.K. (1970): Impossibility of a Paretian Liberal. Journal of Political Economy, 78, 152–157. Gibbard, A. (1973): Manipulation of voting schemes: a general

  • result. Econometrica, 41, 587–601.

Satterthwaite, M. (1975): Strategy-proofness and Arrow’s conditions: existence and correspondence theorems for voting procedures and social welfare functions. Journal of Economic Theory, 10, 187–217. Sen, A.K. (1970): Collective Choice and Social Welfare. North Holland, Amsterdam.

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SLIDE 163

Overview Formal Framework Arrow’s theorem Sen’s Theorem Gibbard-Satterthwaite Theorem Conclusion and Literature

Literature

Riker, W.H. (1982): Liberalsism against populism. W.H. Freeman and Company. Sen, A.K. (1986): Social choice theory. in: Arrow, K.J. and M.D. Intriligator, Handbook of Mathematical Economics. Elsevier. Austen-Smith, D. and J.S. Banks (2000): Positive Political Theory I. University of Michigan Press, Ann Arbor. Taylor, A.D. (2005): Social choice and the mathematics of

  • manipulation. Cambridge University Press, New York.