日時：11月14日（木）17:20-18:50
報告者： 安達 剛 (早稲田大学)
場所：2号館11階経済学部会議室B & ZOOM (HyFlex)
幹事：釜賀 浩平
言語：日本語
タイトル：Social Choice with Triage (jointly with Hirofumi Yamamura) 
要旨：We consider the problem of aggregating individuals’ real-valued assessments into an ordering through a social evaluation functional (SEFL). We newly study an informational assumption in which assessments are partitioned into grades and interpersonal level comparisons through grades are partially possible. Since it is already shown that strong Pareto efficiency, anonymity, and binary independence are incompatible with this informational assumption (Yamamura, 2016), we investigate and then characterize, as the second-best approach, the class of SEFLs satisfying “weak Pareto efficiency,” anonymity and binary independence.

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