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A Test of the Predictive Dimensions Model in Spatial Voting Theory


  • Enelow, James M
  • Hinich, Melvin J


We model correlated voter-candidate issue data within the framework of the Enelow-Hinich spatial model of predictive dimensions. The empirical consequences of this model of the issue data are surprising and allow for an indirect test of the Enelow-Hinich spatial model. The central prediction of the correlated data model we construct, which depends critically on the underlying spatial model, is tested with issue data from the 1980 NES pre-election interview. The test results are highly supportive of the model's predictions. We conclude both that the spatial model of predictive dimensions is empirically supported and that candidate spatial locations estimated by the model are not an artifact of correlated voter-candidate issue data. Copyright 1994 by Kluwer Academic Publishers

Suggested Citation

  • Enelow, James M & Hinich, Melvin J, 1994. "A Test of the Predictive Dimensions Model in Spatial Voting Theory," Public Choice, Springer, vol. 78(2), pages 155-169, February.
  • Handle: RePEc:kap:pubcho:v:78:y:1994:i:2:p:155-69

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    Cited by:

    1. Claudio Bonilla & Ryan Carlin & Gregory Love & Ernesto Silva Méndez, 2011. "Social or political cleavages? A spatial analysis of the party system in post-authoritarian Chile," Public Choice, Springer, vol. 146(1), pages 9-21, January.
    2. Claudio Bonilla, 2004. "A Model of Political Competition in the Underlying Space of Ideology," Public Choice, Springer, vol. 121(1), pages 51-67, October.

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