Abstract
We introduce a method of measuring voting power in simple voting games with correlated votes using the Bahadur parameterisation. With a method for measuring voting power with correlated votes, we can address a question of practical importance. Given that most of the applied power analysis is carried out with either the Penrose–Banzhaf or the Shapley–Shubik measures of power, what happens when you use these two measures in games with correlated votes? Simulations of all possible voting games with up to six players show that both measures tend to overestimate power when the votes are positively correlated. Yet, in most voting scenarios, the Shapley–Shubik index is closer to the probability of criticality than the Penrose–Banzhaf measure. This also holds for the power distribution in the EU Council of Ministers. Based on these simulations, we conclude that, while the Penrose–Banzhaf measure may be ideal for designing constitutional assemblies, the Shapley–Shubik index is better suited for the analysis of power distributions beyond the constitutional stage.
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Notes
The number of distinct SVGs equals the number of positively monotonic Boolean functions—the Dedekind number, less one to exclude the empty set being a winning coalition. The Dedekind numbers form a rapidly-growing sequence of integers, with only the first nine terms computed to date.
George and Bowman (1995) provide a more compact representation of the probabilities for exchangeable binary random variables. However, the George and Bowman parametrisation is unsuitable for our simulations because it is not formulated in terms of marginals and correlation coefficients. Kaniovski (2008) formulates a quadratic optimization problem for finding a distribution with given marginals and correlations. For a recent survey of algorithms for generating correlated binary random variables, see Preisser and Qaqish (2012).
References
Bahadur RR (1961) A representation of the joint distribution of responses to \(n\) dichotomous items. In: Solomon H (ed) Studies in item analysis and prediction. Stanford University Press, Palo Alto, pp 158–168
Banzhaf JF (1965) Weighted voting does not work: a mathematical analysis. Rutgers Law Rev 19:317–343
Chamberlain G, Rothschild M (1981) A note on the probability of casting a decisive vote. J Econ Theory 25:152–162
Coleman JS (1971) Control of collectivities and the power of a collectivity to act. In: Lieberman B (ed) Social choice. Gordon and Breach, New York
Doležel P (2011) Estimating the efficiency of voting in big size committees. AUCO Czech Econ Rev 5:172–190
Felsenthal DS, Machover M (1998) The measurement of voting power: theory and practice, problems and paradoxes. Edward Elgar, Cheltenham
Felsenthal DS, Machover M (2004) A priori voting power: What is it all about? Polit Stud Rev 2:1–23
Felsenthal DS, Machover M (2009) The QM rule in the Nice and Lisbon treaties: future projections. Homo Oecon 26:317–340
Garrett G, Tsebelis G (1999a) More reasons to resist the temptation of power indices in the European Union. J Theor Polit 11:331–338
Garrett G, Tsebelis G (1999b) Why resist the temptation of power indices in the European Union? J Theor Polit 11:291–308
Gelman A, Katz JN, Bafumi J (2004) Standard voting power indices don’t work: an empirical analysis. Br J Polit Sci 34:657–674
Gelman A, Katz JN, Boscardin WJ (2003) Estimating the probability of events that have never occurred: when is your vote decisive? Am J Polit Sci 93:1–9
George EO, Bowman D (1995) A full likelihood procedure for analyzing exchangeable binary data. Biometrics 51:512–523
Good I, Mayer L (1975) Estimating the efficacy of a vote. Behav Sci 20:25–33
Grofman B (1981) Fair apportionment and the Banzhaf index. Am Math Mon 88:1–5
Hayes-Renshaw F, van Aken W, Wallace H (2006) When and why the EU council of ministers votes explicitly. J Common Mark Stud 44:161–194
Heard A, Swartz T (1998) Empirical Banzhaf indices. Public Choice 97:701–707
Hosli M, Machover M (2004) The Nice treaty and voting rules in the Council: a reply to Moberg (2002). J Common Mark Stud 42:497–521
Kaniovski S (2008) The exact bias of the Banzhaf measure of power when votes are neither equiprobable nor independent. Soc Choice Welf 31:281–300
Kaniovski S, Leech D (2009) A behavioural power index. Public Choice 141:17–29
Kaniovski S, Zaigraev A (2011) Optimal jury design for homogeneous juries with correlated votes. Theory Decis 74:439–459
Kóczy LA (2012) Beyond Lisbon: demographic trends and voting power in the European Union Council of Ministers. Math Soc Sci 63:152–158
König T, Bräuninger T (2000) Decisiveness and inclusiveness: two aspects of the intergovernmental choices of European voting rules. Homo Oecon 17:107–123
Newcombe H, Ross M, Newcombe AG (1970) United Nations voting patterns. Int Organ 24:100–121
Penrose LS (1946) The elementary statistics of majority voting. J R Stat Soc 109:53–57
Preisser Jr., JS, Qaqish BF (2012) A comparison of methods for generating correlated binary variates with specified marginal means and correlations. Working Paper, University of North Carolina at Chapel Hill
Ruff O, Pukelsheim F (2010) A probabilistic synopsis of binary decision rules. Soc Choice Welf 35:501–516
Shapley LS, Shubik M (1954) A method of evaluating the distribution of power in a committee system. Am Polit Sci Rev 48:787–792
Straffin PD (1977) Homogeneity, independence and power indices. Public Choice 30:107–118
Straffin PD (1978) Probability models for power indices. In: Ordeshook P (ed) Game theory and political science. New York University Press, New York, pp 477–510
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Kaniovski, S., Das, S. Measuring voting power in games with correlated votes using Bahadur’s parametrisation. Soc Choice Welf 44, 349–367 (2015). https://doi.org/10.1007/s00355-014-0831-x
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DOI: https://doi.org/10.1007/s00355-014-0831-x