Replication Data for: How COVID-19 affects voting for incumbents: evidence from local elections in France
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: How COVID-19 affects voting for incumbents: evidence from local elections in France
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Identifier |
https://doi.org/10.7910/DVN/EFDGLY
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Creator |
Morisi, Davide
Cloléry, Héloïse Kon Kam King, Guillaume Schaub, Max |
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Publisher |
Harvard Dataverse
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Description |
This folder includes all the data and code to reproduce the results included in the following article: Davide MORISI, Héloïse CLOLERY, Guillaume KON KAM KING, and Max SCHAUB. (Forthcoming). “How COVID-19 affects voting for incumbents: Evidence from local elections in France.” PlosOne (2024-01-17) |
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Subject |
Social Sciences
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Date |
2024-01-17
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Contributor |
Morisi, Davide
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