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Monte Carlo Methods for the Shapley–Shubik Power Index

Author

Listed:
  • Yuto Ushioda

    (Graduate School of Engineering, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo 152-8552, Japan)

  • Masato Tanaka

    (Graduate School of Engineering, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo 152-8552, Japan)

  • Tomomi Matsui

    (Graduate School of Engineering, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo 152-8552, Japan)

Abstract

This paper deals with the problem of calculating the Shapley–Shubik power index in weighted majority games. We propose an efficient Monte Carlo algorithm based on an implicit hierarchical structure of permutations of players. Our algorithm outputs a vector of power indices preserving the monotonicity, with respect to the voting weights. We show that our algorithm reduces the required number of samples, compared with the naive algorithm.

Suggested Citation

  • Yuto Ushioda & Masato Tanaka & Tomomi Matsui, 2022. "Monte Carlo Methods for the Shapley–Shubik Power Index," Games, MDPI, vol. 13(3), pages 1-14, June.
  • Handle: RePEc:gam:jgames:v:13:y:2022:i:3:p:44-:d:830635
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    References listed on IDEAS

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