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Beyond Condorcet: Optimal Aggregation Rules Using Voting Records


Eyal Baharad


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

Jacob Goldberger


affiliation not provided to SSRN

Moshe Koppel


affiliation not provided to SSRN

Shmuel Nitzan


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

January 31, 2011

CESifo Working Paper Series No. 3323

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.

Number of Pages in PDF File: 30

JEL Classification: D70

working papers series


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Date posted: February 8, 2011  

Suggested Citation

Baharad, Eyal, Goldberger, Jacob, 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: http://ssrn.com/abstract=1756576

Contact Information

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
affiliation not provided to SSRN ( email )
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 for Economic Research)
Poschinger Str. 5
Munich, DE-81679
Germany
HOME PAGE: http://www.CESifo.de
Feedback to SSRN (Beta)


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