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By Samuel Merrill III, Bernard Grofman

Professors Merrill and Grofman boost a unified version that comes with voter motivations and assesses its empirical predictions--for either voter selection and candidate strategy--in the USA, Norway, and France. The analyses express mixture of proximity, path, discounting, and occasion identification fit with the mildly yet no longer tremendous divergent rules which are attribute of many two-party and multiparty electorates. All of those motivations are essential to comprehend the linkage among candidate factor positions and voter personal tastes.

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Extra resources for A Unified Theory of Voting: Directional and Proximity Spatial Models

Example text

The Borda count, the single-transferable vote (STV), plurality with runoff, and approval voting. What stands out is that the preference for a mixed model over any pure one, which we have demonstrated for the standard plurality system of voting, extends to alternative voting rules as well. The postscript reflects on what we have done and what is left to be done. We reiterate our findings that – regardless of whether evidence is drawn from voter utility, voter choice, or party strategies – a mixed model dominates any pure model.

Iversen suggests subtracting from each voter’s RM utility function a quantity that grows slowly while the candidate is near the fixed voter but more rapidly as the candidate recedes. Such a quantity can be specified by a quadratic function of the distance between voter and candidate. This yields what we term the RM model with proximity constraint. The quadratic utility function permits the directional effects to dominate over short distances whereas the proximity effects dominate over greater distances where issue differences may be perceived as extreme.

Accordingly, as a rough approximation, we can interpret the vector C, the RM utility function can be expressed as a product of the Matthews utility function and a pure intensity component as follows: Ê V◊C U ( V, C) = V ◊ C = Á Ë V C 5 ˆ ˜( V C ) ¯ In a one-dimensional model, V and B are scalars. The damped directional utility function is defined by Ê V◊C ˆ q q -1 U ( V, C) = Á ˜ ([ V C ] ) = V ◊ C = [ V C ] Ë V C ¯ if C π 0 and V π 0, and 0 otherwise, where the exponent q is the intensity parameter.

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