Replication Data for: How to distinguish human error from election fraud: Evidence from the 2019 Malawi election

Ahlback, J.ORCID logo & Jablonski, R. S.ORCID logo (2025). Replication Data for: How to distinguish human error from election fraud: Evidence from the 2019 Malawi election. [Dataset]. London School of Economics and Political Science. https://doi.org/10.7910/DVN/WVZIXQ
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This provides the necessary datasets and r-scripts to replicate figures and tables presented in the article: How to distinguish human error from election fraud: Evidence from the 2019 Malawi election (2025-09-04)
Item Type Dataset
Publisher London School of Economics and Political Science
DOI 10.7910/DVN/WVZIXQ
Date made available 3 November 2025
Keywords Tallying irregularities, Electoral forensics, Election fraud, Human error, Africa, Malawi
Resource language Other
Departments LSE > Academic Departments > Methodology
LSE > Academic Departments > Government

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Available at: 10.7910/DVN/WVZIXQ

Access level: Open

Licence: CC0 1.0


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