Distinguishing between False Positives and Genuine Results: The Case of Irrelevant Events and Elections

Name: Distinguishing between False Positives and Genuine Results: The Case of Irrelevant Events and Elections
Creator: University of Chicago; Emory University
Published: 2021-01-01T00:00:00+08:00

Harvard Dataverse2021-12-09 更新2026-04-09 收录

选举行为分析

因果推断验证

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/GHHZO4 数据链接链接失效反馈

官方服务：

资源简介：

These data and code can be used to reproduce all analyses in the study, "Distinguishing between False Positives and Genuine Results: The Case of Irrelevant Events and Elections."

提供机构：

University of Chicago; Emory University

创建时间：

2021-01-01