Fractional Group Identification

• 발행기관: 한국재정학회(구 한국재정·공공경제학회)
• 저자명: Wonki Jo Cho Chang Woo Park
• 간행물 정보: 『한국재정학회 학술대회 논문집』2018년도 춘계학술대회 논문집, 1~31쪽, 전체 31쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2018.03.30

국문 초록

We study group identification problems, the objective of which is to classify agents into groups based on individual opinions. Our point of departure from the literature is to allow membership to be fractional, to qualify the extent of belonging. Examining implications of independence of irrelevant opinions, we identify and characterize four nested families of rules. The four families include the weighted-average rules, which are obtained by taking a weighted average of all entries of a problem, and the fractional consent rules, which adapt the consent rules from the binary model to our multinary setup, balancing two principles in group identification, namely liberalism and social consent. Existing characteri-zations of the one-vote rules, the consent rules, and the liberal rule follow from ours.

목차

1 Introduction

2 The Model

3 Decomposability

4 Weighted-average Rules

5 Fractional Consent Rules

키워드

Fractional membership independence of irrelevant opinions weighted-average rules fractional consent rules liberal rule