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Optimal majority threshold in a stochastic environment

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Abstract

Within the model of social dynamics determined by collective decisions in a stochastic environment (the ViSE model), we consider the case of a homogeneous society consisting of classically rational economic agents. We obtain analytical expressions for the optimal majority threshold as a function of the parameters of the environment, assuming that the proposals are generated by means of random variables. The cases of several specific distributions of these variables are considered in more detail.

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Notes

  1. \(\#X\) denotes the number of elements in the finite set X.

  2. \([\alpha n]\) is the integer part of \(\alpha n\).

  3. See Nitzan and Paroush (1982) and Azrieli and Kim (2014) on other approaches to optimizing the majority threshold and Rae (1969) and Sekiguchi and Ohtsuki (2015) for a discussion of the case of multiple voting in this context.

  4. This result can also be obtained by applying Theorem 1 in Barberà and Jackson (2006) if we consider each agent as a country with \(n_i = 1\) (population) and a simple voting behaviour of the representative. In this case, \(\alpha _0\)-majority maximizes social and individual welfare. In the proof of Theorem 2, we provide a simpler argument for the case under consideration. Theorem 1 in Azrieli and Kim (2014) can also be used for this proof if we consider environment proposals (in the ViSE model) as agent types in their model.

  5. Corollary 7 has been suggested by an anonymous referee.

References

  • Azrieli Y, Kim S (2014) Pareto efficiency and weighted majority rules. Int Econom Rev 55(4):1067–1088

    Article  Google Scholar 

  • Baharad E, Ben-Yashar R, Nitzan S (2019) Variable competence and collective performance: unanimity versus simple majority rule. Group Decis Negot. https://doi.org/10.1007/s10726-019-09644-3

    Article  Google Scholar 

  • Barberà S, Jackson MO (2006) On the weights of nations: assigning voting weights in a heterogeneous union. J Polit Econ 114(2):317–339

    Article  Google Scholar 

  • Borzenko VI, Lezina ZM, Loginov AK, Tsodikova YY, Chebotarev PY (2006) Strategies of voting in stochastic environment: egoism and collectivism. Autom Remote Control 67(2):311–328

    Article  Google Scholar 

  • Chebotarev PY (2006) Analytical expression of the expected values of capital at voting in the stochastic environment. Autom Remote Control 67(3):480–492

    Article  Google Scholar 

  • Chebotarev PY, Loginov AK, Tsodikova YY, Lezina ZM, Borzenko VI (2009) Snowball of cooperation and snowball communism. In: Proceedings of the 4th int conf on control sciences, pp 687–699

  • Chebotarev PY, Malyshev VA, Tsodikova YY, Loginov AK, Lezina ZM, Afonkin VA (2018a) The optimal majority threshold as a function of the variation coefficient of the environment. Autom Remote Control 79(4):725–736

    Article  Google Scholar 

  • Chebotarev PY, Tsodikova YY, Loginov AK, Lezina ZM, Afonkin VA, Malyshev VA (2018b) Comparative efficiency of altruism and egoism as voting strategies in stochastic environment. Autom Remote Control 79(11):2052–2072

    Article  Google Scholar 

  • Compte O, Jehiel P (2017) On the optimal majority rule. CEPR Discussion Paper (12492)

  • Duggan J, Kalandrakis T (2012) Dynamic legislative policy making. J Econom Theory 147(5):1653–1688

    Article  Google Scholar 

  • Dziuda W, Loeper A (2014) Voting rules in a changing environment. Available at SSRN 2500777. https://doi.org/10.2139/ssrn.2500777

  • Dziuda W, Loeper A (2016) Dynamic collective choice with endogenous status quo. J Polit Economy 124(4):1148–1186

    Article  Google Scholar 

  • Felsenthal D, Machover M (2001) The treaty of nice and qualified majority voting. Soc Choice Welf 18(3):431–464

    Article  Google Scholar 

  • Malyshev VA, Chebotarev PY (2017) On optimal group claims at voting in a stochastic environment. Autom Remote Control 78(6):1087–1100

    Article  Google Scholar 

  • Mirkin BG (1979) Group choice. Fishburn PC, Ed. V.H. Winston [Russian edition: Mirkin BG (1974) Problema Gruppovogo Vybora. Nauka, Moscow]

  • Nitzan S, Paroush J (1982) Optimal decision rules in uncertain dichotomous choice situations. Int Econ Rev 23(2):289–297

    Article  Google Scholar 

  • Nitzan S, Paroush J (1984) Are qualified majority rules special? Public Choice 42(3):257–272

    Article  Google Scholar 

  • O’Boyle EJ (2009) The origins of homo economicus: a note. Storia Pensiero Econ 6:1–8

    Google Scholar 

  • Penn E (2009) A model of farsighted voting. Am J Polit Sci 53(1):36–54

    Article  Google Scholar 

  • Rae D (1969) Decision-rules and individual values in constitutional choice. Am Polit Sci Rev 63(1):40–56

    Article  Google Scholar 

  • Sekiguchi T, Ohtsuki H (2015) Effective group size of majority vote accuracy in sequential decision-making. Jpn J Ind Appl Math 32(3):595–614

    Article  Google Scholar 

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Correspondence to Vitaly Malyshev.

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Malyshev, V. Optimal majority threshold in a stochastic environment. Group Decis Negot 30, 427–446 (2021). https://doi.org/10.1007/s10726-020-09717-8

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