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Appendices

Published online by Cambridge University Press:  04 December 2009

Samuel Merrill, III
Affiliation:
Wilkes University, Pennsylvania
Bernard Grofman
Affiliation:
University of California, Irvine
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Summary

Mixed Proximity–RM Models

Following Iversen's (1994) argument that voter utility in a directional model should be idiosyncratically constrained, we have defined the RM model with proximity constraint as a mixed directional and proximity model where β is a mixing parameter. In fact, our formulation, the mixed model of Rabinowitz and Macdonald (1989), and Iversen's (1994) formulation are mathematically equivalent. The formulation we have presented has several advantages over the others. First, the parameter β is easily interpreted as a mixing parameter anchored at 0 and 1 for the pure RM and pure proximity models, respectively. Second, β changes linearly as the indifference plane between the candidates moves from its location for a pure RM model to that for a pure proximity model. Third, the two pure models correspond to straightforward null hypotheses that are convenient to test statistically; namely, β = 0 for the pure RM model and β = 1 for the pure proximity model. By contrast, Rabinowitz and Macdonald's model ratio (equivalent to our 1/β) would have the value of +∞ for a pure RM model, which makes the corresponding null hypothesis awkward to test.

A compromise between Rabinowitz and Macdonald's original idea of an arbitrary circle of acceptability and Iversen's idiosyncratic constraint is the following simpler model, which we call the RM model with centered constraint. It is defined by subtracting from the scalar product utility a multiple of the squared distance from the neutral point to the candidate location.

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A Unified Theory of Voting
Directional and Proximity Spatial Models
, pp. 170 - 194
Publisher: Cambridge University Press
Print publication year: 1999

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  • Appendices
  • Samuel Merrill, III, Wilkes University, Pennsylvania, Bernard Grofman, University of California, Irvine
  • Book: A Unified Theory of Voting
  • Online publication: 04 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511605864.013
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  • Appendices
  • Samuel Merrill, III, Wilkes University, Pennsylvania, Bernard Grofman, University of California, Irvine
  • Book: A Unified Theory of Voting
  • Online publication: 04 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511605864.013
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Appendices
  • Samuel Merrill, III, Wilkes University, Pennsylvania, Bernard Grofman, University of California, Irvine
  • Book: A Unified Theory of Voting
  • Online publication: 04 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511605864.013
Available formats
×