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Axiomatizations of a Positional Power Score and Measure for Hierarchies

Author

Listed:
  • René van den Brink

    (VU University Amsterdam)

  • Frank Steffen

    (The University of Liverpool and University of Hamburg)

Abstract

This discussion paper resulted in a publication in 'Public Choice', 151, 757-787. Power is a core concept in the analysis and design of organizations. One of the problems with the extant literature on positional power in hierarchies is that it is mainly restricted to the analysis of power in terms of the bare positions of the actors. While such an analysis informs us about the authority structure within an organization, it ignores the decision-making mechanisms completely. The few studies which take into account the decision-making mechanisms make all use of adaptations of well-established approaches for the analysis of power in non-hierarchical organizations such as the Banzhaf measure; and thus they are all based on the structure of a simple game, i.e. they are `membership-based'. In van den Brink and Steffen (2008) it is demonstrated that such an approach is in general inappropriate for characterizing power in hierarchies as it cannot be extended to a class of decision-making mechanisms which allow certain actors to terminate a decision before all other members have been involved. As this kind of sequential decision-making mechanism turns out to be particularly relevant for hierarchies, we suggested an action-based approach - represented by an extensive game form - which can take the features of such mechanisms into account. Based on this approach we introduced a power score and power measure that can be applied to ascribe positional power to actors in sequential decision making mechanisms. In this paper we provide axiomatizations of this power score and power measure for one of the most studied decision models, namely that of binary voting.

Suggested Citation

  • René van den Brink & Frank Steffen, 2008. "Axiomatizations of a Positional Power Score and Measure for Hierarchies," Tinbergen Institute Discussion Papers 08-115/1, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20080115
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    Cited by:

    1. is not listed on IDEAS
    2. Sarkar, Sandip & Dash, Bharatee Bhusana, 2023. "On the measurement of electoral volatility," Mathematical Social Sciences, Elsevier, vol. 126(C), pages 119-128.
    3. Simon Schopohl, 2017. "Information Transmission in Hierarchies," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01491930, HAL.
    4. Simon Schopohl, 2017. "Information Transmission in Hierarchies," Post-Print halshs-01491930, HAL.
    5. Schopohl, Simon, 2017. "Information transmission in hierarchies," Center for Mathematical Economics Working Papers 570, Center for Mathematical Economics, Bielefeld University.
    6. René van den Brink & Frank Steffen, 2012. "On the Measurement of Success and Satisfaction," Tinbergen Institute Discussion Papers 12-030/1, Tinbergen Institute.
    7. Yucel, Eray & Tokel, Emre, 2010. "Fibonacci Hierarchies for Decision Making," MPRA Paper 20973, University Library of Munich, Germany.

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    JEL classification:

    • C79 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Other
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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