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SPATIAL (EUCLIDEAN) MODEL

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PART II SPATIAL (EUCLIDEAN) MODEL Definition of Spatial Model Voter i has ideal (bliss) point xi 2 – PowerPoint PPT presentation

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Title: SPATIAL (EUCLIDEAN) MODEL


1
PART II
  • SPATIAL (EUCLIDEAN) MODEL

2
Definition of Spatial Model
  • Voter i has ideal (bliss) point xi 2 ltk
  • Each alternative is represented by a point in ltk
  • A1 i A2 iff xi-A1 xi A2
  • Can use norms other than Euclidean e.g.
    ellipsoidal indifference curves

3
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4
Spatial Model
  • Largely descriptive role rather than normative
  • The workhorse of empirical studies in political
    science
  • k1,2 are the most popular of dimensions
  • In U.S. k2 gives high accuracy (90) , k1 also
    very accurate since 1980s, and 1850s to early
    20th century.

5
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6
What do the dimensions mean?
  • Different schools of thought
  • Use expert domain knowledge or contextual
    information to define dimensions and/or place
    alternatives
  • Fit data (e.g. roll call) to achieve best fit
  • Maximize data fit in 1st dimension, then 2nd
  • Impute meaning to fitted model

7
2D is qualitatively richer than 1D
x1
A1
A2
x2
x3
A3
A1 gtA2 gt A3 gt A1
8
Condorcets voting paradox in Euclidean model
x1
A1
A2
x2
x3
A3
Hyperplane normal to and bisecting line segment
A1A2
9
Even if all points in lt2 are permitted
alternatives, no Condorcet winner exists
x1
A1
A2
x2
x3
10
Major Question Conditions for Existence of
Stable Point (Undominated, Condorcet Winner)
  • Plott (67) For case all xi distinct
  • Slutsky(79) General case, not finite
  • Davis, DeGroot, Hinich (72) Every hyperplane
    through x is median, i.e. each closed halfspace
    contains at least half the voter ideal points.
  • McKelvey, Schofield (87) More general, finite,
    but exponential.
  • Are there better conditions?

11
Recognizing a Stable (Undominated) Point is
co-NP-complete
  • Theorem Given x1xn and x0 in ltk, determining
    whether x0 is dominated is NP-complete.
  • Proof Johnson Preparata 1978.
  • Algorithm In O(kn) given x_1x_n can find x_0
    which is undominated if any point is.
  • Corollary Majority-rule stability is
    co-NP-complete.

12
Implications
  • Puts to rest efforts to find simpler necessary
    and sufficient conditions
  • Computing the radius of the yolk is NP-hard
  • Computing any other solution concept that
    coincides with Condorcet winner when it exists,
    is NP-hard
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