scpi
Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) <doi:10.48550/arXiv.2210.05026> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2024) <doi:10.48550/arXiv.2202.05984>.
- Version2.2.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Cattaneo, Feng, and Titiunik (2021)
- Cattaneo, Feng, Palomba, and Titiunik (2023)
- Cattaneo, Feng, Palomba, and Titiunik (2024)
- Last release11/11/2024
Documentation
Team
Filippo Palomba
Yingjie Feng
Show author detailsRolesAuthorRocio Titiunik
Show author detailsRolesAuthorMatias Cattaneo
Show author detailsRolesAuthor
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- Imports18 packages
- Suggests1 package