Beyond Condorcet: Optimal Aggregation Rules Using Voting Records

30 Pages Posted: 8 Feb 2011

See all articles by Eyal Baharad

Eyal Baharad

University of Haifa - Department of Economics; Bar-Ilan University - Department of Economics

Jacob Goldberger

affiliation not provided to SSRN

Moshe Koppel

Bar-Ilan University

Shmuel Nitzan

Bar-Ilan University - Department of Economics; CESifo (Center for Economic Studies and Ifo Institute)

Multiple version iconThere are 2 versions of this paper

Date Written: January 31, 2011

Abstract

The difficulty of optimal decision making in uncertain dichotomous choice settings is that it requires information on the expertise of the decision makers (voters). This paper presents a method of optimally weighting voters even without testing them against questions with known right answers. The method is based on the realization that if we can see how voters vote on a variety of questions, it is possible to gauge their respective degrees of expertise by comparing their votes in a suitable fashion, even without knowing the right answers.

JEL Classification: D70

Suggested Citation

Baharad, Eyal and Goldberger, Jacob and Koppel, Moshe and Nitzan, Shmuel, Beyond Condorcet: Optimal Aggregation Rules Using Voting Records (January 31, 2011). CESifo Working Paper Series No. 3323, Available at SSRN: https://ssrn.com/abstract=1756576 or http://dx.doi.org/10.2139/ssrn.1756576

Eyal Baharad

University of Haifa - Department of Economics ( email )

Mount Caramel
Haifa 31905
Israel
972 4 824 9585 (Phone)
972 4 824 0059 (Fax)

Bar-Ilan University - Department of Economics ( email )

Ramat-Gan, 52900
Israel

Jacob Goldberger

affiliation not provided to SSRN ( email )

Moshe Koppel

Bar-Ilan University ( email )

Ramat Gan
Ramat-Gan, 52900
Israel

Shmuel Nitzan (Contact Author)

Bar-Ilan University - Department of Economics ( email )

Ramat-Gan, 52900
Israel
+972.3.531.8930 (Phone)
+972.3.535.3180 (Fax)

CESifo (Center for Economic Studies and Ifo Institute)

Poschinger Str. 5
Munich, DE-81679
Germany

HOME PAGE: http://www.CESifo.de

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