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The University of Chicago
Department of Statistics
Statistics Colloquium
JUN ZHANG
Department of Psychology
University of Michigan, Ann Arbor
Borda Scores and Aggregation of Preference: A
Geometric-Combinatoric and at Topological Approach
MONDAY, April 23, 2012, at 4:00PM
133 Eckhart Hall, 5734 S. University Avenue
Refreshments following the seminar in Eckhart 110.
ABSTRACT
Borda scores are defined over ranking probabilities (“voter profiles”), that is, the probability distribution over all rankings of a set of candidates. It will first be shown that the
space of Borda scores form a convex polytope called “permutahedron”. Investigating the
various ways a permutahedron as a geometric-combinatoric object may arise allows one to
appropriately define Borda scores for binary choice probabilities, for subset choice probabilities, and for rank-position probabilities. A topological approach is then adopted to study
aggregation of preference under interval-scaled utilities. It turns out that any well-behaved
(continuous, anonymous, and respecting unanimity) aggregation map (“social choice function”) has to allow for null outcome in the social choice while not allowing for null preference
by an individual voter. This result complements Chilchilnisky and Heals (1983) topological
rendition of impossibility theorems of K. Arrow.
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