Top Banner
QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions
33

QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Dec 13, 2015

Download

Documents

Moses McGee
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

QR 38

3/13/07, Spatial models

I. Unidimensional models

II. Median voter theorem

III. Multiple dimensions

Page 2: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

I. Unidimensional models

How to represent preferences and choices in a spatial context.

• Note that this is not strictly speaking an application of noncooperative game theory, but it is a useful tool.

Page 3: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Social choice and cycling

• The problem of social cycling: even if individuals’ preferences are transitive, the result of a social choice process might not be.

• This results in cycling; no policy is guaranteed a majority over all alternatives.

• This could often arise unless there are restrictions on preferences or the agenda.

Page 4: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Cuban missile crisis

Three options for the U.S. response to Soviet missiles:

1. Diplomacy2. Blockade3. InvasionThree groups of advisors:1. Hawks: I>D>B (JCS, Acheson)2. Doves: D>B>I (Stevenson)3. Statesmen: B>I>D (RFK, McNamara)

Page 5: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Cuban missile crisis• Assume that all three groups have

equal weight, and that the choice of policy is determined by majority vote (2/3).

• D would defeat B; I would defeat D; and B would defeat I.

• So a cycle develops with no clear winner.

Page 6: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Restriction on preferences: single-peaked

• Even though individual preferences are transitive, aggregate ones are not.

• To avoid this problem, we often place a simple restriction on preferences: that they are single-peaked.

Page 7: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

One-dimensional spatial model

In order to show this decision problem spatially, need to specify the following things:

• How policy options are arrayed on one dimension (here, the use of military force)

• The ideal point for each faction– The ideal point is the most preferred

outcome

Page 8: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

One-dimensional spatial models

• The utility for each outcome– Curves moving away from the ideal point

indicate how utility shifts as policy moves away from this point.

Page 9: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Cuban missile crisis

Aggressiveness

Utility

D B I

Doves

Hawks

Statesmen

Page 10: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Cuban missile crisisTo avoid the problem of cycling in social

choice, we have to impose some restrictions on preferences. Here, we impose the restriction of single-peaked preferences.

The “problem” with the Cuban missile crisis example is that the Hawks’ preferences are not single-peaked.

Page 11: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Negotiation example

Negotiation example from BdM.

• President (P) and leader of a foreign country (F) are negotiating with one another along a single dimension.

• If they don’t reach an agreement, the status quo (Q) prevails.

Page 12: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Negotiation example

• P is unsure of F’s ideal point, and relies on an Agent (A) to get information about this.

• A can make a proposal.• After seeing this proposal, P can

suggest what the negotiated outcome will be.

• If F accepts, the new outcome prevails.

Page 13: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Negotiation example

A3FPA1 A2 Q

F*

Page 14: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Negotiation example

• P will accept anything left of Q• F will accept anything between Q and F* (F*

is the same distance from F’s ideal point as Q is)

• A1 will propose F*, because anything further left will be rejected by F.

• But P will reject A1’s proposal and propose P instead.– He can infer from A1’s proposal that F is between

P and Q, and therefore F will accept P

Page 15: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Negotiation example

• A2 will propose his ideal point.

• P will accept this, because he can’t be sure that F will accept anything further left.

• A3 will propose Q.

• This provides little information to P, and he will propose either P or Q, depending on the costs of having a proposal rejected.

Page 16: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

II. Median voter theorem• Previous example showed one way to use

ideal points to predict outcomes.

• Another important tool is the median voter theorem: if decisions are made by simple majority rule, the median voter always wins.

• The median is the voter in the middle: with the same number of voters to the right and to the left.

Page 17: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Median voter theorem

• Note that the median voter is not usually the same as the mean voter.

IncomeMeanMedian

Page 18: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Median voter example

• C is the median voter below

• A proposal at C will beat any other proposal, even x3

A B C D E

x1 x2 x3x4

Page 19: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Median voter theorem

• The median voter theorem applies to policy choice, the platforms of political parties, or the location of hot dog vendors on the beach.

• The preferences of the median voter are very important.

Page 20: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Median voter in IR• In IR, “votes” are usually weighted (for

example, consider voting in the UN or EU).

• So we have to take the number of votes each actor has into account as well as their ideal points.

• So outcomes are a function of both preferences and power.

Page 21: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Strategic voting

• We have assumed strategic voting: you vote for something other than your most preferred outcome, anticipating that this will lead to a better outcome for you in the end.

• This contrasts with sincere or naïve voting.

Page 22: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Strategic voting

• For example, if you expect your preferred outcome (Nader) to lose, but the other two options are tied, would strategically choose one of the other two.

• The median voter theorem holds even with strategic voting, as long as there is always a head-to-head choice between the median and all other proposals.

Page 23: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

III. Multiple dimensionsLinked issues lead to multidimensional

decisions; issues often are not decided one at a time.

• For example, if deciding environmental policy, economic growth may be a concern

• Or military and economic policies could be linked.

Page 24: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Multiple dimensions

• To illustrate two linked issues, show two dimensions (x and y, horizontal and vertical)

• Show each actor’s ideal point in this two-dimensional space.

• Consider indifference curves: curves that indicate sets of points among which the actor is indifferent.

Page 25: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Indifference curves

• If the actor gives the same weight to both dimensions, indifference curves will be circular.

• The space contains an infinite number of indifference curves.

• The indifference curves that run through the status quo are especially interesting, because they show us the set of points that the actor prefers to the status quo.

Page 26: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Indifference curves

Guns

Butter A

Q

Page 27: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Indifference curves

• The circle that runs through Q and has an actor’s ideal point at the center shows the points that the actor prefers to Q – the interior of the circle.

• This is the actor’s preferred to set.

Page 28: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Win sets

• If moving policy away from the status quo requires the approval of two actors, the new policy must be in the overlap of their preferred-to sets.

• This overlap is called the win set: the set of points that can beat the status quo.

Page 29: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

End of Cold War

Economic orientation

Centralized Market

Foreignpolicy

Dovish

Hawkish

G

L

Q

Y

Page 30: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

End of Cold War example

• If agreeing on a policy requires 2 out of the 3 factions, 3 win-sets exist.

• The G-Y win-set is substantially larger than G-L or L-Y. So there are more points that G and Y could agree on.

• Policies within the G-Y win-set will involve more dovish foreign policy, but not necessarily more market orientation.

Page 31: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Trade bargaining example

U.S. tariffs

Low High

Foreigntariffs

Low

High

CP

F QQ’

T*

Page 32: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Trade bargaining example

• Assume that the president wants to reduce tariffs, but needs congressional approval.

• All actors prefer that the other country have zero tariffs; ideal points are on the axes.

• As long as tariff reductions are unilateral, the lowest tariff the president can get is Q’.

Page 33: QR 38 3/13/07, Spatial models I.Unidimensional models II.Median voter theorem III.Multiple dimensions.

Tariff bargaining example

• Assume the president is able to reduce tariffs to Q’ before beginning foreign negotiations.

• Now there is scope for substantial reduction in both tariff levels – to a point in the win-set. Could go as low as T*.