Redistribution to the less productive: parallel characterizations of the egalitarian Shapley and consensus values

Research output: Contribution to journalArticlepeer-review

Abstract

In cooperative game theory with transferable utilities (TU games), there are two well-established ways of redistributing Shapley value payoffs: using egalitarian Shapley values, and using consensus values. We present parallel characterizations of these classes of solutions. Together with the (weaker) axioms that characterize the original Shapley value, those that specify the redistribution methods characterize the two classes of values. For the class of egalitarian Shapley values, we focus on redistributions in one-person unanimity games from two perspectives: allowing the worth of coalitions to vary, while keeping the player set fixed; and allowing the player set to change, while keeping the worth of coalitions fixed. This class of values is characterized by efficiency, the balanced contributions property for equal contributors, weak covariance, a proportionately decreasing redistribution in one-person unanimity games, desirability, and null players in unanimity games. For the class of consensus values, we concentrate on redistributions in (n- 1) -person unanimity games from the same two perspectives. This class of values is characterized by efficiency, the balanced contributions property for equal contributors to social surplus, complement weak covariance, a proportionately decreasing redistribution in (n- 1) -person unanimity games, desirability, and null players in unanimity games.

Original languageEnglish
JournalTheory and Decision
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Axiomatization
  • Consensus value
  • Egalitarian Shapley value
  • Redistribution
  • TU game

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Applied Psychology
  • Social Sciences(all)
  • Economics, Econometrics and Finance(all)
  • Computer Science Applications

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