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Specification Issues in Proximity Models of Candidate Evaluation (with Issue Importance)
Author(s) -
Jeffrey D. Grynaviski,
Bryce Corrigan
Publication year - 2006
Publication title -
political analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.953
H-Index - 69
eISSN - 1476-4989
pISSN - 1047-1987
DOI - 10.1093/pan/mpl003
Subject(s) - appeal , computer science , identification (biology) , representation (politics) , work (physics) , bridge (graph theory) , scale (ratio) , econometrics , politics , political science , mathematics , law , mechanical engineering , medicine , botany , biology , engineering , physics , quantum mechanics
The use of the proximity model to represent the relationship between citizens' policy attitudes and the positions of candidates on the issues of the day has considerable appeal because it offers a bridge between theoretical models of political behavior and empirical work. However, there is little consensus among applied researchers about the appropriate representation of voter behavior with respect to the measurement of issue distance, candidate location, or whether to allow heterogeneity in the weight that each individual places on particular issues. Each of these choices suggests a different, and reasonably complicated, nonlinear relationship between voter utility and candidate and voter issue positions which may have a meaningful influence on the substantive conclusions drawn by the researcher. Yet, little attention has been given to the best way to represent the proximity model in applied work. The purpose of this paper is to identify which forms of the proximity model work best, with particular consideration given to the identification of functional forms that are invariant to the choice of scale for the independent variables.

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