Public Choice

, Volume 77, Issue 4, pp 739–756 | Cite as

Voting behavior under the directional spatial model of electoral competition

  • Samuel MerrillIII
Article

Abstract

This paper contrasts voting behavior in multicandidate elections between the proximity and the directional spatial models of electoral competition. Under the traditionalproximity spatial model, a voter's utility for a candidate is a declining function of distance between their respective positions. Under thedirectional spatial model, introduced by Rabinowitz and Macdonald, utility is specified as the scalar product of the vectors representing voter and candidate. The present paper specifies and compares regions of candidate support for the two models and for several voting procedures. The degree to which each model and voting system favors extremist versus centrist candidates is assessed. It is shown that a pure directional model implies that candidates lying in the interior of the convex hull of the other candidates receive no support under the single-vote plurality procedure. A one-parameter family of mixed proximity and directional models may provide more plausible descriptions of voter behavior than either pure model.

Keywords

Scalar Product Convex Hull Public Finance Spatial Model Vote System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Black, D. (1958).The theory of committees and elections. London: Cambridge University Press.Google Scholar
  2. Bogdanor, V. and Butler, D. (1983).Democracy and elections: Electoral systems and their political consequences. Cambridge: Cambridge University Press.Google Scholar
  3. Bordley, R.F. (1983). A pragmatic method for evaluating election schemes through simulation.American Political Science Review 77 (March): 123–141.Google Scholar
  4. Brams, S.J. and Fishburn, P. (1983).Approval voting. Boston: Birkhäuser.Google Scholar
  5. Chamberlin, J.R. and Cohen, M.D. (1978). Toward applicable social choice theory: A comparison of social choice functions under spatial model assumptions.American Political Science Review 72: 1341–1356.Google Scholar
  6. Davis, O., Hinich, M. and Ordeshook, P. (1970). An expository development of a mathematical model of the electoral process.American Political Science Review 64: 426–448.Google Scholar
  7. Downs, A. (1957).An economic theory of democracy. New York: Harper and Row.Google Scholar
  8. Enelow, J. and Hinich, M. (1981). A new approach to voter uncertainty in the Downsian spatial model.American Journal of Political Science 25 (August): 493–493.Google Scholar
  9. Enelow, J. and Hinich, M. (1984).The spatial theory of voting. Cambridge: Cambridge University Press.Google Scholar
  10. Enelow, J. and Hinich, M. (Eds.) (1990).Advances in the spatial theory of voting. Cambridge: Cambridge University Press.Google Scholar
  11. Hinich, M. and Pollard, W. (1981). A new approach to the spatial theory of electoral competition.American Journal of Political Science 25: 323–341.Google Scholar
  12. Macdonald, S.E., Listhaug, O. and Rabinowitz, G. (1991). Issue strategies in multiparty systems. University of North Carolina, Chapel Hill: Typescript.Google Scholar
  13. Merrill, S., III. (1979). Approval voting: A “best buy” method for multicandidate elections?Mathematics Magazine 52: 98–102.Google Scholar
  14. Merrill, S., III. (1981). Strategic decisions under one-stage multicandidate voting systems.Public Choice 36: 115–134.Google Scholar
  15. Merrill, S., III. (1984). A comparison of efficiency of multicandidate electoral systems.American Journal of Political Science 28: 23–48.Google Scholar
  16. Merrill, S., III. (1988).Making multicandidate elections more democratic. Princeton: Princeton University Press.Google Scholar
  17. Merrill, S., III. (1992).Empirical tests of the directional and proximity models of spatial competition: Voting in the 1984 American National Election Study. Wilkes University, Wilkes-Barre, PA: Typescript.Google Scholar
  18. Palfrey, T. and Poole, K. (1987). The relationship between informaton, ideology, and voting behavior.American Journal of Political Science 31: 511–530.Google Scholar
  19. Platt, G., Poole, K. and Rosenthal, H. (1991).Euclidean utility is alive and well: A test of the directional theory of voting behavior. Carnegie Mellon University: G.S.I.A. Working Paper #1991-2.Google Scholar
  20. Powell, L. (1989). Analyzing misinformation: Perceptions of congressional candidates' ideologies.American Journal of Political Science 33: 272–293.Google Scholar
  21. Rabinowitz, G. (1991). Personal communication.Google Scholar
  22. Rabinowitz, G. and Macdonald, S.E. (1989). A directional theory of issue voting.American Political Science Review 83 (March): 93–121.Google Scholar
  23. Rabinowitz, G., Macdonald, S.E. and Listhaug, O. (1991). New players in an old game.Comparative Political Studies 24 (July) 147–185.Google Scholar
  24. Rae, D. (1971).The political consequences of election laws. New Haven: Yale University Press.Google Scholar
  25. Riker, W. (1982).Liberalism against populism. San Francisco: W.H. Freeman.Google Scholar
  26. Riker, W. and Ordeshook, P. (1973).An introduction to positive political theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  27. Shepsle, K.A. (1972). Parties, voters, and the risk environment: A mathematical treatment of electoral competition under uncertainty. In R. Niemi and H. Weisberg (Eds.),Probability models of collective decision making, 273–297. Columbus, OH: Charles E. Merrill.Google Scholar
  28. Simmons, D. (1972).Linear programming for operations research. San Francisco: Holden-Day.Google Scholar
  29. Snider, G.A. (1979). Assessing the candidate preference function.American Journal of Political Science 23: 732–754.Google Scholar
  30. Straffin, P.D. (1980).Topics in the theory of voting. Boston: Birkhäuser.Google Scholar
  31. Valentine, F.A. (1976).Convex sets. Huntington, NY: Robert E. Krieger.Google Scholar
  32. Weber, R.J. (1977).Comparison of voting systems. New Haven: Cowles Foundation Discussion paper #498A.Google Scholar

Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • Samuel MerrillIII
    • 1
  1. 1.Department of Mathematics and Computer ScienceWilkes UniversityWilkes-Barre

Personalised recommendations