G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w26913
来源IDWorking Paper 26913
On the Representativeness of Voter Turnout
Louis Kaplow; Scott Duke Kominers
发表日期2020-03-30
出版年2020
语种英语
摘要Prominent theory research on voting uses models in which expected pivotality drives voters’ turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs’s paradox: in practice, many individuals turn out for reasons unrelated to pivotality, and their votes overwhelm the forces analyzed in pivotality-based models. Accordingly, we examine a complementary model of large-N elections at the opposite end of the spectrum, where pivotality effects vanish and turnout is driven entirely by individuals’ direct costs and benefits from the act of voting itself. Under certain conditions, the level of turnout is irrelevant to representativeness and thus to voting outcomes. Under others, however, “anything is possible”: starting with any given distribution of preferences in the underlying population, there can arise any other distribution of preferences in the turnout set and thus any outcome within the range of the voting mechanism. Particular skews in terms of representativeness are characterized. The introduction of noise in the relationship between underlying preferences and individuals’ direct costs and benefits from voting produces, in the limit, fully representative turnout. To illustrate the potential disconnect between the level of turnout (a focus of much empirical literature) and representativeness, we present a simple example in which, as noise increases, the turnout level monotonically falls yet representativeness monotonically rises.
主题Microeconomics ; Welfare and Collective Choice
URLhttps://www.nber.org/papers/w26913
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/584586
推荐引用方式
GB/T 7714
Louis Kaplow,Scott Duke Kominers. On the Representativeness of Voter Turnout. 2020.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
w26913.pdf(432KB)智库出版物 限制开放CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Louis Kaplow]的文章
[Scott Duke Kominers]的文章
百度学术
百度学术中相似的文章
[Louis Kaplow]的文章
[Scott Duke Kominers]的文章
必应学术
必应学术中相似的文章
[Louis Kaplow]的文章
[Scott Duke Kominers]的文章
相关权益政策
暂无数据
收藏/分享
文件名: w26913.pdf
格式: Adobe PDF
此文件暂不支持浏览

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。