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Replication Data for: Detecting Election Fraud from Irregularities in Vote-Share Distributions

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数据链接：

https://doi.org/10.7910/DVN/JIEWR3 数据链接链接失效反馈

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资源简介：

Replication code, data, and R package.

应用场景：

创建时间：

2016-09-16

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模式分析

Is it possible to detect manipulation by looking only at electoral returns? Drawing on work in psychology, we exploit individuals' biases in generating numbers to highlight suspicious digit patterns i

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Replication Data for: A systematic approach to study electoral fraud

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选举研究

Replication material for "A systematic approach to study electoral fraud" Electoral Studies 35(2014): 33-47.

NIAID Data Ecosystem60

Replication Data for: Detecting Election Fraud from Irregularities in Vote-Share Distributions

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数据分析

Replication code, data, and R package.

DataONE2016-09-16 更新50

Vote Early and Vote Often? Detecting Electoral Fraud from the Timing of 19th Century Elections

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选举数据分析

This paper develops a new approach to detecting electoral fraud. Our context involves repeaters, individuals voting in multiple states in the U.S. during 19th Century Congressional Elections. Given hi

NBER2022-08-01 更新70

Replication Data for: Election Fraud: A Latent Class Framework for Digit-Based Tests

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数字取证分析

Digit-based election forensics typically relies on null hypothesis significance testing, with undesirable effects on substantive conclusions. This paper proposes an alterna- tive free of this problem.

NIAID Data Ecosystem50

Replication Data for: Detecting Election Fraud from Irregularities in Vote-Share Distributions

资源简介：

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