Arbeitspapier

Beyond Condorcet: Optimal aggregation rules using voting records

In certain judgmental situations where a correct decision is presumed to exist, optimal decision making requires evaluation of the decision-maker's capabilities and the selection of the appropriate aggregation rule. The major and so far unresolved difficulty is the former necessity. This paper presents the optimal aggregation rule that simultaneously satisfies these two interdependent necessary requirements. In our setting, some record of the voters' past decisions is available, but the correct decisions are not known. We observe that any arbitrary evaluation of the decision-maker's capabilities as probabilities yields some optimal aggregation rule that, in turn, yields a maximum-likelihood estimation of decisional skills. Thus, a skill-evaluation equilibrium can be defined as an evaluation of decisional skills that yields itself as a maximum-likelihood estimation of decisional skills. We show that such equilibrium exists and offer a procedure for finding one. The obtained equilibrium is locally optimal and is shown empirically to generally be globally optimal in terms of the correctness of the resulting collective decisions. Interestingly, under minimally competent (almost symmetric) skill distributions that allow unskilled decision makers, the optimal rule considerably outperforms the common simple majority rule (SMR). Furthermore, a sufficient record of past decisions ensures that the collective probability of making a correct decision converges to 1, as opposed to accuracy of about 0.7 under SMR. Our proposed optimal voting procedure relaxes the fundamental (and sometimes unrealistic) assumptions in Condorcet celebrated theorem and its extensions, such as sufficiently high decision-making quality, skill homogeneity or existence of a sufficiently large group of decision makers.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 2010-20

Classification
Wirtschaft
Subject
Condorcet-Paradoxon
Neue politische Ökonomie
Theorie

Event
Geistige Schöpfung
(who)
Baharad, Eyal
Goldberger, Jacob
Koppel, Moshe
Nitzan, Shmuel
Event
Veröffentlichung
(who)
Bar-Ilan University, Department of Economics
(where)
Ramat-Gan
(when)
2010

Handle
Last update
10.03.2025, 10:42 AM UTC

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Object type

  • Arbeitspapier

Associated

  • Baharad, Eyal
  • Goldberger, Jacob
  • Koppel, Moshe
  • Nitzan, Shmuel
  • Bar-Ilan University, Department of Economics

Time of origin

  • 2010

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