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Voting rules manipulability and social homogeneity

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  • Dominique Lepelley

    () (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR1 - Université de Rennes 1 - UNIV-RENNES - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Fabrice Valognes

    () (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR1 - Université de Rennes 1 - UNIV-RENNES - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

To what extent are some voting rules more vulnerable to strategic manipulation than others? In order to answer this question, representations are developed for the coalitional manipulability of eight voting rules under various assumptions concerning the likelihood that given voters' preference profiles are observed on three alternatives. Of particular interest is the impact that social homogeneity (defined as the tendency of voters' preference to be similar) has on the manipulability of voting rules. The results we obtain show that the hierarchy of the voting rules that results from our computations can crucially depend on the degree of social homogeneity. However, it turns out that, whatever the degree of homogeneity, the Hare method (or two-stage plurality) minimizes susceptibility to strategic manipulation by coalitions of voters in three-candidate elections. Copyright 2003 by Kluwer Academic Publishers
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Dominique Lepelley & Fabrice Valognes, 2003. "Voting rules manipulability and social homogeneity," Post-Print halshs-00069239, HAL.
  • Handle: RePEc:hal:journl:halshs-00069239
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00069239
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    Cited by:

    1. James Green-Armytage, 2014. "Strategic voting and nomination," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 42(1), pages 111-138, January.
    2. Jansen, C. & Schollmeyer, G. & Augustin, T., 2018. "A probabilistic evaluation framework for preference aggregation reflecting group homogeneity," Mathematical Social Sciences, Elsevier, vol. 96(C), pages 49-62.
    3. Mostapha Diss, 2015. "Strategic manipulability of self-selective social choice rules," Annals of Operations Research, Springer, vol. 229(1), pages 347-376, June.
    4. Eric Kamwa, 2019. "On the Likelihood of the Borda Effect: The Overall Probabilities for General Weighted Scoring Rules and Scoring Runoff Rules," Group Decision and Negotiation, Springer, vol. 28(3), pages 519-541, June.
    5. Burak Can & Ali Ozkes & Ton Storcken, 2017. "Generalized Measures of Polarization in Preferences," Working Papers halshs-01597720, HAL.
    6. Aki Lehtinen, 2007. "The Borda rule is also intended for dishonest men," Public Choice, Springer, vol. 133(1), pages 73-90, October.
    7. Yuliya Veselova, 2016. "The difference between manipulability indices in the IC and IANC models," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 46(3), pages 609-638, March.
    8. Yuliya A. Veselova, 2016. "Does Incomplete Information Reduce Manipulability?," HSE Working papers WP BRP 152/EC/2016, National Research University Higher School of Economics.
    9. James Green-Armytage & T. Nicolaus Tideman & Rafael Cosman, 2016. "Statistical evaluation of voting rules," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 46(1), pages 183-212, January.
    10. James Green-Armytage & T. Tideman & Rafael Cosman, 2016. "Statistical evaluation of voting rules," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 46(1), pages 183-212, January.
    11. Alexander Karpov, 2017. "Preference Diversity Orderings," Group Decision and Negotiation, Springer, vol. 26(4), pages 753-774, July.
    12. Eyal Baharad & Zvika Neeman, 2007. "Robustness against inefficient manipulation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 29(1), pages 55-67, July.
    13. Postl, Peter, 2017. "Évaluation et comparaison des règles de vote derrière le voile de l’ignorance : Tour d'horizon sélectif et analyse des règles de scores à deux paramètres," L'Actualité Economique, Société Canadienne de Science Economique, vol. 93(1-2), pages 249-290, Mars-Juin.
    14. Geoffrey Pritchard & Arkadii Slinko, 2006. "On the Average Minimum Size of a Manipulating Coalition," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 27(2), pages 263-277, October.
    15. Pierre Favardin & Dominique Lepelley, 2006. "Some Further Results on the Manipulability of Social Choice Rules," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 26(3), pages 485-509, June.
    16. Marie-Louise Lackner & Martin Lackner, 2017. "On the likelihood of single-peaked preferences," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 48(4), pages 717-745, April.

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