Voting Power Index Analysis
Also known as: Voting Power Index, Shapley-Shubik Index, Banzhaf Power Index, A Priori Voting Power Analysis
Voting power index analysis measures the a priori capacity of each member of a weighted voting body to influence collective decisions, defined as the probability that the member is pivotal — that their vote turns a losing coalition into a winning one. The two canonical indices are the Shapley-Shubik index, introduced by Lloyd Shapley and Martin Shubik in 1954 as a specialization of the Shapley value to simple voting games, and the Banzhaf index, formalized by John Banzhaf in 1965. Both reveal that a player's share of power generally differs sharply from its share of votes.
Key highlights
- Quantifies the counterintuitive gap between voting weight and actual influence, exposing dummy players and disproportionate blocs.
- Rests on rigorous cooperative game theory: the Shapley-Shubik index inherits the axiomatic foundations of the Shapley value.
- Requires only the voting weights and quota, so it can be applied a priori to any proposed institutional design before data on votes exist.
- Supports comparative institutional design, letting analysts test how changing quotas or weights reapportions power across members.
Intuition
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How it works
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When to use it
Use voting power index analysis to evaluate the fairness or design of any weighted voting body — shareholder meetings, federal councils, the Electoral College, the EU Council of Ministers, the IMF and World Bank boards, or multi-member committees — where members cast unequal blocs of votes under a quota rule. The indices answer 'who really holds power?' before any specific issue arises (a priori), making them ideal for constitutional design and apportionment evaluation. They are less appropriate when actors have known ideological positions and correlated preferences (where spatial models fit better), when bargaining and side-payments dominate, or when the realistic question is power on a particular issue rather than abstract decisiveness.
Strengths & limitations
- Quantifies the counterintuitive gap between voting weight and actual influence, exposing dummy players and disproportionate blocs.
- Rests on rigorous cooperative game theory: the Shapley-Shubik index inherits the axiomatic foundations of the Shapley value.
- Requires only the voting weights and quota, so it can be applied a priori to any proposed institutional design before data on votes exist.
- Supports comparative institutional design, letting analysts test how changing quotas or weights reapportions power across members.
- Both indices assume all coalitions or orderings are equally likely, ignoring ideological proximity and correlated preferences that shape real coalitions.
- Exact computation is #P-hard and requires enumerating up to 2^n coalitions, so large bodies need Monte Carlo or generating-function approximations.
- The Shapley-Shubik and Banzhaf indices can disagree on rankings, and there is no consensus on which is 'correct,' leaving an interpretive ambiguity.
- As purely a priori measures they say nothing about power on a specific issue, agenda control, or the influence of information and persuasion.
Common pitfalls
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Applications
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Frequently asked
What is the difference between the Shapley-Shubik and Banzhaf power indices?
Both count when a player is decisive, but they weight that differently. The Shapley-Shubik index considers ordered arrivals of voters and asks how often a player is the pivotal entrant, averaging over all n! orderings; it is the Shapley value applied to a simple game. The Banzhaf index ignores order and counts the player's swings across unordered coalitions, treating all coalitions as equally likely, then normalizes. The two correspond to different probabilistic models of how coalitions form and can therefore rank members differently, especially in asymmetric bodies.
How does a voting power index relate to the Shapley value?
The Shapley-Shubik index is exactly the Shapley value computed for a simple (voting) game, in which every coalition's worth is either 1 (winning) or 0 (losing). A player's pivotal contribution v(S) − v(S \ {i}) is 1 precisely when the player swings the coalition, so the Shapley value's average marginal-contribution formula reduces to counting pivotal positions. Power index analysis is thus a specialization of cooperative-game value theory to yes/no collective decisions.
Why can a member with many votes have zero power?
Power depends on whether a member is ever decisive, not on its weight. If the quota and the other members' weights are such that no winning coalition ever needs this member — every coalition that reaches the quota does so without it, and no coalition that misses the quota is brought over by adding it — then the member is a 'dummy' with index zero despite a positive vote count. This shows that designing a weighted voting body requires checking power, not just allocating weights.
Sources
- 1.Shapley, L. S., & Shubik, M. (1954). A Method for Evaluating the Distribution of Power in a Committee System. American Political Science Review, 48(3), 787-792.
- 2.Felsenthal, D. S., & Machover, M. (1998). The Measurement of Voting Power: Theory and Practice, Problems and Paradoxes. Edward Elgar.ISBN 9781858989273
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Cite this page
ScholarGate. (2026, June 22). Voting Power Index Analysis. ScholarGate. https://scholargate.app/political-science/power-index-analysis