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Choosing in Groups Choosing in Groups

Choosing in Groups - PowerPoint Presentation

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Choosing in Groups - PPT Presentation

Munger and Munger Slides for Chapter 5 Politics as Spatial Competition Outline of Chapter 5 Spatial model and spatial theory Spatial utility functions Assumptions and definitions Median voter theorem ID: 362196

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Slide1

Choosing in GroupsMunger and Munger

Slides for Chapter 5Politics as Spatial CompetitionSlide2

Outline of Chapter 5 Spatial model and spatial theory

Spatial utility functionsAssumptions and definitionsMedian voter theoremImplications of non-single-peaked preferences

Slides Produced by Jeremy Spater, Duke University. All rights reserved.

2Slide3

Spatial modelNature of voter preferences

Preferences represented by weighted distancesPrefer candidate who is “closest” to ideal pointEndogenous platform selectionCandidates select position based on predicted voter choices

Predictions about outcomes

Analyst can predict outcome from voter preferences and candidate positions

Allows analysis of counterfactuals

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

3Slide4
Slide5

Spatial theoryDifferent from weak orderings approach

Explicit utility function: distanceMedian voter determines election: Median Voter Theorem (MVT)Voters on edges can change their positions without influencing outcome

Outcome is stable under some circumstancesUnder some conditions, candidates converge in center

Under other conditions, outcome is polarized or indeterminate

Slides Produced by Jeremy Spater, Duke University. All rights reserved.

5Slide6

Foundations of spatial modelsPeople use “left”, “right”, and “center” to describe political positions

This usage originated in the French RevolutionPhysical positions of parties in National Assemblies and National ConventionLeft: Jacobins; Right:

GirondinsLeft generally refers to those wanting change

Right generally refers to those who prefer status quo or return to earlier policies

Slides Produced by Jeremy Spater, Duke University. All rights reserved.

6Slide7

Spatial utility functionsVoter perceives candidate as “platform” or “point in space”

Cartesian product of all policy positions taken by candidateEach issue is assigned a “salience” or weightIssues more important to the voter have higher weights

Some issues might have zero weightExample: Committee voting

Three committee members

Different ideal points

Differently-shaped utility functions

Reflecting intensity and symmetry of preferences

Example: Mass election

Individual ideal points aren’t important

Median of all voters determines outcome

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

7Slide8
Slide9
Slide10

AssumptionsExamples above rely on certain assumptions:

(a) Issue space is unidimensional (one issue)(b) Preferences are single-peakedUtility declines monotonically from ideal point(c) Voting is sincere

Vote for most preferred alternative in immediate contest

Don’t look ahead to see effect of vote on future contests

Symmetry

Deviations from ideal point in either direction have same effect

This assumption is sometimes but not always invoked in this chapter

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

10Slide11

More careful definitionsRepresentative citizen

i (one of N) with unique ideal point xiPreference:

Indifference:

Median position:

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

11Slide12

Odd N, even N, and uniquenessWith single-peaked preferences over a unidimensional issue space: median exists

For odd N, the median is a single pointFor even N with no shared ideal points, median is a closed intervalFor even N with some shared ideal points, median may be unique

or interval

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

12Slide13
Slide14

Median Voter TheoremMedian Voter Theorem:

Suppose xmed is a median position for the society. Thenthe number of votes for

x

med

is greater than or equal to the number of votes for

any other alternative

z

.

A median position can never lose in a majority rule vote.

It might tie against another median (if median is an interval)

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

14Slide15

Median Voter Theorem (2)Corollary:

If y is closer to xmed than z, then

y beats

z

in a majority rule election.

If

y

and

z

are on the same side of

xmed, it is not necessary to invoke symmetry.

But if

y

and

z

are on opposite sides of

x

med

, symmetry is required.

This result requires two additional assumptions:

x

med

is unique

Voter preferences are symmetric

For any pair of proposals, the one closer to the median will win (if preferences are symmetric).

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

15Slide16

What if preferences aren’t single-peaked?Median position may not exist

Example: Health care reformReformers have double-peaked preferences, so a majority opposes all options!

Slides Produced by Jeremy

Spater

, Duke University. All rights reserved.

16

Reformers

Incrementalists

Conservatives

Best

P

O

S

S

P

O

Worst

O

S

P

Table 5.1: Preferences on Health Care ReformSlide17
Slide18