A Unified Theory of Voting: Directional and Proximity Spatial ModelsCambridge University Press, 13 Sep 1999 - 213 halaman Professors Merrill and Grofman develop a unified model that incorporates voter motivations and assesses its empirical predictions--for both voter choice and candidate strategy--in the United States, Norway, and France. The analyses show that a combination of proximity, direction, discounting, and party ID are compatible with the mildly but not extremely divergent policies that are characteristic of many two-party and multiparty electorates. All of these motivations are necessary to understand the linkage between candidate issue positions and voter preferences. |
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Edisi yang lain - Lihat semua
A Unified Theory of Voting: Directional and Proximity Spatial Models Samuel Merrill, III,Bernard Grofman Pratinjau tidak tersedia - 1999 |
Istilah dan frasa umum
American approval voting Bernard Grofman Borda count C₁ candidate placement Chapter conditional logit Condorcet directional vector convergent convex hull correlation didate dimensions discounting factor Downsian electorate empirical Enelow extreme Figure French Presidential Election Grofman discounting model Hinich ideal point incumbents indifference line intensity issue positions left-right liberal-conservative Listhaug Matthews directional model Matthews model Matthews utility mean placements median voter median voter theorem mixed model mixed proximity-RM model mixing parameter model of voter model with proximity Mondale multicandidate multiparty Nash equilibrium national election studies neutral point Norwegian Election Study party ID placements of candidates preferences proximity and directional proximity and RM proximity constraint pure models pure proximity model pure RM model Rabinowitz and Macdonald Reagan regions of support RM utility scalar product scale Schofield spatial model status quo point thermometer scores tion two-candidate unified model utility curve utility functions voter and candidate voter choice voter-specific placements Westholm
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