Aggregation of binary evaluations: a Borda-like approach

We characterize a rule for aggregating binary evaluations—equivalently, dichotomous weak orders—similar in spirit to the Borda rule from the preference aggregation literature. The binary evaluation framework was introduced as a general approach to aggregation by Wilson (J Econ Theory 10:89–99, 1975). In this setting we characterize the “mean rule,” which we derive from properties similar to those Young (J Econ Theory 9:43–52, 1974) used in his characterization of the Borda rule. Complementing our axiomatic approach is a derivation of the mean rule using vector decomposition methods that have their origins in Zwicker (Math Soc Sci 22:187–227, 1991). Additional normative appeal is provided by a form of tension minimization that characterizes the mean rule and suggests contexts wherein its application may be appropriate. Finally, we derive the mean rule from an approach to judgment aggregation recently proposed by Dietrich (Soc Choice Welf 42:873–911, 2014).

[1]  Conal Duddy,et al.  Collective approval , 2013, Math. Soc. Sci..

[2]  Vincent Conitzer,et al.  Computational voting theory: game-theoretic and combinatorial aspects , 2011 .

[3]  D. Saari Basic Geometry of Voting , 1995 .

[4]  Donald G. Saari Disposing Dictators, Demystifying Voting Paradoxes: Social Choice Analysis , 2008 .

[5]  Ariel Rubinstein,et al.  On the Question "Who is a J?": A Social Choice Approach , 1998 .

[6]  Frank Harary,et al.  Graph theory and electric networks , 1959, IRE Trans. Inf. Theory.

[7]  William S. Zwicker The voters' paradox, spin, and the Borda count , 1991 .

[8]  Hans Peters,et al.  On the manipulability of approval voting and related scoring rules , 2012, Soc. Choice Welf..

[9]  H. P. Young,et al.  An axiomatization of Borda's rule , 1974 .

[10]  Robert B. Wilson On the theory of aggregation , 1975 .

[11]  C. List,et al.  Aggregating Sets of Judgments: An Impossibility Result , 2002, Economics and Philosophy.

[12]  François Maniquet,et al.  Approval voting and Arrow’s impossibility theorem , 2015, Soc. Choice Welf..

[13]  P. Fishburn,et al.  Algebraic aggregation theory , 1986 .

[14]  F. H. Croom Basic concepts of algebraic topology , 1978 .

[15]  Christian List,et al.  Which Worlds are Possible? A Judgment Aggregation Problem , 2008, J. Philos. Log..

[16]  P. Fishburn Condorcet Social Choice Functions , 1977 .

[17]  Ron Holzman,et al.  Aggregation of binary evaluations with abstentions , 2010, J. Econ. Theory.

[18]  S. Brams,et al.  The paradox of multiple elections , 1998 .

[19]  Ariel Rubinstein,et al.  A further characterization of Borda ranking method , 1981 .

[20]  D. Saari Decisions and elections : explaining the unexpected , 2001 .

[21]  Christian List,et al.  Arrow’s theorem in judgment aggregation , 2005, Soc. Choice Welf..

[22]  Lawrence G. Sager,et al.  The One and the Many: Adjudication in Collegial Courts , 1993 .

[23]  Donald G. Saari,et al.  Chaotic Elections! - A Mathematician Looks at Voting , 2001 .

[24]  N. Schofield The Geometry of Voting , 1983 .

[25]  Richard Stong,et al.  Collective choice under dichotomous preferences , 2005, J. Econ. Theory.

[26]  Christian List,et al.  Introduction to Judgment Aggregation , 2010, J. Econ. Theory.

[27]  Ron Holzman,et al.  Aggregation of non-binary evaluations , 2010, Adv. Appl. Math..

[28]  Franz Dietrich Scoring rules for judgment aggregation , 2014, Soc. Choice Welf..

[29]  Klaus Nehring,et al.  Abstract Arrowian aggregation , 2010, J. Econ. Theory.

[30]  Ron Holzman,et al.  Aggregation of binary evaluations , 2010, J. Econ. Theory.