Skip to main content
Log in

Power indices and probabilistic voting assumptions

  • Published:
Public Choice Aims and scope Submit manuscript

Abstract

This paper compares the theoretical bases of the Shapley-Shubik and Banzhaf indices of voting power for a legislature with weighted voting. Definitions based on probabilistic-voting assumptions, useful both as behavioral descriptions and for computation in empirical applications, are compared in terms of necessary and sufficient conditions on the choice of voting probabilities. It is shown that the Shapley-Shubik index requires stronger conditions than the Banzhaf index: the former that voting probabilities be chosen by all players from a common uniform distribution on the unit interval, the latter only that voting probabilities be selected independently from any set of distributions (on the unit interval) which have a common mean of 1/2. This result has a bearing on the theoretical criteria by which one may choose between the two indices in a voting context.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Banzhaf, J.F. (1965). Weighted voting doesn't work: A mathematical analysis. Rutgers Law Review 19: 317–343.

    Google Scholar 

  • Leech, D. (1988). The relationship between shareholding concentration and shareholder voting power in British companies: A study of the application of power indices for simple games. Management Science 34.4 (April): 509–527.

    Google Scholar 

  • Owen, G. (1972). Multilinear extensions of games. Management Science 18.5, Part 2: P64-P79.

    Google Scholar 

  • Owen, G. (1975a). Evaluation of a presidential election game. American Political Science Review. 69: 947–953.

    Google Scholar 

  • Owen, G. (1975b). Multilinear extensions and the Banzhaf value. Naval Research Logistics Quarterly 22: 741–750.

    Google Scholar 

  • Owen, G. (1982). Game theory, second ed. New York: Academic Press.

    Google Scholar 

  • Shapley, L.S. (1962). Simple games: An outline of the descriptive theory. Behavioral Science 7: 56–66.

    Google Scholar 

  • Shapley, L.S. and M. Shubik (1954). A method for evaluating the distribution of power in a committee system. American Political Science Review 48: 787–792.

    Google Scholar 

  • Straffin, P.D. (1977). Homogeneity, independence and power indices. Public Choice 30: 107–118.

    Google Scholar 

  • Straffin, P.D. (1978). Probability models for power indices. In P.C. Ordeshook (Ed.), Game theory and political science, 477–510. New York: New York University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

I wish to thank the Editor for his comments on the first draft. Any remaining errors are mine alone.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Leech, D. Power indices and probabilistic voting assumptions. Public Choice 66, 293–299 (1990). https://doi.org/10.1007/BF00125780

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00125780

Keywords

Navigation