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7/31/2019 Public Economies
1/30
Public Economics
Paper 7
Lecture 3
Multi-dimensional policy spaces and the
Probabilistic Voting Model
7/31/2019 Public Economies
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Outline
Critique of the median voter model
The probabilistic voting model
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The Median Voters Theorem
The two parties will propose the same platform
and that platform is equal to the
most-preferred policy of the median voter.
A Condorcet Winner
A policy that beats all others in
a pair-wise comparison.
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When does a Condorcet winner
exist? The policy space has one dimension.
Voters have single peaked preference
over policy along that one dimension.
Each voter has a most-preferred policy and the
further the policy is away from this ideal point
the worse.
g
)(gWi
(size of government)Ideal point
Single peaked.
Not single peaked.
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More policy dimensions
A Condorcet winner will not exist in
general.
Policy instability and cycles.
Chaos
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The logic of chaos
Two public goods, g and h.
Each voter has an ideal point ),(**
ii hg
g
h
*
ig
*
ih
Ideal point
Indifference
curve
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g*
1g
*
1
*
2hh
h
*
2g
*
3h
*
3g
A
Win set 12
1
3
2
B
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The Chaos Theorem(McKelvey, Journal of Economic Theory, 1976)
When there are at least two issues and at least three
voters every platform can be defeated.
Political instability => incumbents are always defeated.
The median voter model has no predictive power
in the realistic case where the policy space is complex
Reinstated domain assumption =>
collective rationality has to give
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Why so much stability?
Institutions prevent instability
Legislative bargaining (next week)
Uncertainty about voter preferences
restores predictability
Probabilistic voting (now)
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Probabilistic voting
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The Idea Voters care about two things:
Policy platforms
Fixed characteristics of the parties that are unrelated totheir platform endorsements; they have a bias towardsone of the parties:
Ideology
Charisma or competency of leaders
Voters tend to vote for party that offers the bestplatform but only if the difference is big enough to overturntheir bias.
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The Idea Let ibe the ideological bias if voters i
Each voter knows i
The parties dont know i but they know thedistribution of the biases.
The parties therefore perceive that there only is
a probability that voter i will support itsplatformeven it is better for that voter thanthe one proposed by the other party.
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Deterministic vs. probabilistic voting
Voters vote for sure for the platform
that comes closest to their ideal point.
Let
iiWWiff1 BAAip
be the probability that voter i votes for party A.Aip
i
B
i
A
WWiff0 Ai
pi
B
i
A2
1 WWiff Aip
g
h
*
ig
*
ih
Party A
Party B
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Deterministic vs. probabilistic voting
Voters dont vote for sure for the platform
that comes closest to their ideal point.
i
BAAip ii
WWiff1
i
Aip i
B
i
A WWiff0
i
Aip i
B
i
A2
1 WWiff
g
h
*
ig
*
ih
Party A
Party B?
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Assumptions
Two parties, A and B
Platforms are xA and xB (many dimensions, e.g.
x={g,h,t}) Different ideologies (or other fixed characteristics).
Two types of voters, J=1,2
WJ(x) is strictly concave in x (single-peaked).
xJ* is the most-preferred policy of a voter of type J
nJ voters of type J with n1 n2.
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Assumptions
The ideological bias of voter i in favour of
party B is i
iBAAi xxp )(W)(Wiff1
ii
The distribution of the biases is type
specific
i is distributed uniformly between
[lJ
,hJ
] for J=1,2.
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17
Distribution of ideological biases
i
0
Type 1
l1 h1
1/(h1+ |l1|)
Type 2
l2 h2
1/(h2+ |l2|)
2211 lhlh
0)()( 21 ii EE
)(0)(21 ii EE
Swing versus committed voters:
Equally popular parties:
Type 1 (2) is faithful to party B (A):
i
BAAi xxp )(W)(Wiff1ii
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The timing
Politiciansannounce platforms
Citizens vote Elected politicianimplements his platform
{xA, xB}
Citizens learn their
ideological bias
i
BAAi xxp )(W)(Wiff1ii
Simple majority
Proportional representation
First-past-the-post in multiple districts
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Objectives of the parties
Maximize the probability of winning a
majority in the election:
)2
1Prob(
21
2211
nn
nn AA
JA (JB) is the share of voters of type J that
votes for party A (B)
Common popularity shock in favour of
party A: .
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The political Equilibrium
1. Express the vote shares as a function of theplatforms.
2. Find the platform that maximise the probabilityof winning for each party
3. Find the Political (Nash) equilibrium by solvingthe resulting first order conditions
A pair of platforms that maximise eachparties chance of winning given the platform
choice of the other party and the voting rule
followed by voters.
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The vote shares Step 1: Express share of votes for party A (and B) amongst
type 1 voters (A
1 and B
1) as a function of xA
and xB
Fix two platform proposals xA and xB Find the voter of type 1 who is indifferent between the two parties
when these platforms are proposed
W1(xA
) = W1(xB
) + s1
s1
= W1
(xA)W
1
(xB)
This voter, indexed by s, is the swing voter of type 1.
Who is the swing voters depends on xA and xB
All voters in group 1 with i1< s1 vote for party A
All voters in group 1 with i1s1 vote for party B
Step 2: Calculate the vote share for party A and party B
respectively:
Step 3: Repeat step 1 and 2 for voters of type 2 to get A
2
and B
2
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22
Shares of votes for party A and B among type 1 voters
Voting rule: vote for A ifW1(xA) > W1(x
B) + i
i
0l1
1/(h1+ |l1|)
s1(xA, xB)
h1
11
11
1
hl
ls
A
11
111)'()'(
hl
xWxWlBA
11
111
11)'()'(
1
hl
xWxWhAB
AB
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The platform choice
Party A proposes the platform xA that maximisesits probability of winning given the platform
proposed by party B xB
2
1nnProbmax
21
2211
nn
AAxA
2211nnmax AAxA
22
222
2
11
111
1)()()()(
maxhl
xWxWln
hl
xWxWln
BABA
xA
for given xB
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22
222
2
11
111
1)()()()(
maxhl
xWxWln
hl
xWxWln
BABA
xA
for given xB
First order condition:
02
2
22
1
1
11
A
A
A
A
x
W
Wn
x
W
Wn
0
112
22
2
1
11
1
AA x
W
hlnx
W
hln
Similarly for party B
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011
2
22
21
11
1
AA x
W
hln
x
W
hlnParty A:
Party B: 011
2
22
2
1
11
1
BB x
W
hln
x
W
hln
Equilibrium exists: Even if the policy space is bigand complex.
Policy convergence: The two parties propose the
same platform xA
=xB
=x*
Policy compromise: The equilibrium policy is a
compromise between what type 1 and type 2
voters want.
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The Representation Theorem
The equilibrium platform maximizes
2
1
)(maxJ
J
Jx
xWq
A representative democracy with probabilistic voting
behaves as ifthe government is maximizing a weighed
social welfare function, where the weights represent
the voters responsiveness to marginal platform changes
and group sizes.
JJ
J
Jhl
nq
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Result overview
Groups whose vote decision is mostly
influenced by policy as opposed to ideology
get a bigger weight.Policy caters to the swing voters as opposed to
the median voter.
Large groups of voters get bigger weight.
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What is Next?
Probabilistic voting model and electoral
systems
Legislative Bargaining
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g*
1g
*
1
*
2hh
h
*
2g
*
3h
*
3g
Pareto set
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g*
1g
*
1
*
2hh
h
*
2g
*
3h
*
3g
A
Win set 32
Win set 31
Win set 12
1
3
2