ICAR Research Data Repository for Knowledge Management
Replication Data for Designing Prediction Markets to Forecast Multi-Stage Elections: The 2022 French Presidential Election
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for Designing Prediction Markets to Forecast Multi-Stage Elections: The 2022 French Presidential Election
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| Identifier |
https://doi.org/10.7910/DVN/CT7LVB
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| Creator |
Berg, Joyce E.
Gruca, Thomas S. Rietz, Thomas A. |
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| Publisher |
Harvard Dataverse
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| Description |
Data that allows researchers to reproduce the results in Designing Prediction Markets to Forecast Multi-Stage Elections: The 2022 French Presidential Election in PS: Political Science & Politics
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| Subject |
Social Sciences
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| Contributor |
Rietz, Thomas
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