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Majority Judgment: Measuring, Ranking, and Electing

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Author Info

  • Michel Balinski

    (École Polytechnique)

  • Rida Laraki

    (École Polytechnique)

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    Abstract

    In Majority Judgment, Michel Balinski and Rida Laraki argue that the traditional theory of social choice offers no acceptable solution to the problems of how to elect, to judge, or to rank. They find that the traditional model--transforming the "preference lists" of individuals into a "preference list" of society--is fundamentally flawed in both theory and practice. Balinski and Laraki propose a more realistic model. It leads to an entirely new theory and method--majority judgment--proven superior to all known methods. It is at once meaningful, resists strategic manipulation, elicits honesty, and is not subject to the classical paradoxes encountered in practice, notably Condorcet's and Arrow's. They offer theoretical, practical, and experimental evidence--from national elections to figure skating competitions--to support their arguments. Drawing on insights from wine, sports, music, and other competitions, Balinski and Laraki argue that the question should not be how to transform many individual rankings into a single collective ranking, but rather, after defining a common language of grades to measure merit, how to transform the many individual evaluations of each competitor into a single collective evaluation of all competitors. The crux of the matter is a new model in which the traditional paradigm--to compare--is replaced by a new paradigm--to evaluate.

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    Bibliographic Info

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    This book is provided by The MIT Press in its series MIT Press Books with number 0262015137 and published in 2011.

    Volume: 1
    Edition: 1
    ISBN: 0-262-01513-7
    Handle: RePEc:mtp:titles:0262015137

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    Web page: http://mitpress.mit.edu

    Related research

    Keywords: ranking; election;

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    Cited by:
    1. Paul Edelman, 2012. "The institutional dimension of election design," Public Choice, Springer, vol. 153(3), pages 287-293, December.
    2. Pivato, Marcus, 2011. "Voting rules as statistical estimators," MPRA Paper 30292, University Library of Munich, Germany.
    3. Bora Erdamar & José Luis Garcia-Lapresta & David Pérez-Roman & Remzi Sanver, 2012. "Measuring consensus in a preference-approval context," Working Papers hal-00681297, HAL.

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