Title: Replication Data for: Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan

Type Dataset Callen, Michael, Long, James D. (2018): Replication Data for: Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NMXC6F

Authors: Callen, Michael (University of California, San Diego) ; Long, James D. (University of Washington) ; Callen, Michael (University of California, San Diego) ; Long, James D. (University of Washington) ;

Links

• Item record in Abdul Latif Jameel Poverty Action Lab Dataverse
• Digital object URL

Summary

We investigate the relationship between political networks, weak institutions, and election fraud during the 2010 parliamentary election in Afghanistan combining: (i) data on political connections between candidates and election officials; (ii) a nationwide controlled evaluation of a novel monitoring technology; and (iii) direct measurements of aggregation fraud. We find considerable evidence of aggregation fraud in favor of connected candidates and that the announcement of a new monitoring technology reduced theft of election materials by about 60 percent and vote counts for connected candidates by about 25 percent. The results have implications for electoral competition and are potentially actionable for policymakers.

More information

• DOI: 10.7910/DVN/NMXC6F

Subjects

• Social Sciences

Dates

• Publication date: 2018
• Submitted: July 04, 2018
• Updated: April 03, 2020

Rights

• info:eu-repo/semantics/openAccess
• https://creativecommons.org/publicdomain/zero/1.0/ CC0 Waiver

Format

electronic resource

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