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scpi: Synthetic Control Methods
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) <doi:10.1080/01621459.2021.1979561> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2027) <doi:10.1162/rest_a_01588> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2025) <doi:10.18637/jss.v113.i01>.
Getting started
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Package details |
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| Author | Matias D. Cattaneo [aut, cre], Yingjie Feng [aut], Filippo Palomba [aut], Rocio Titiunik [aut] |
| Maintainer | Matias D. Cattaneo <matias.d.cattaneo@gmail.com> |
| License | GPL-3 |
| Version | 4.0.1 |
| URL | https://nppackages.github.io/scpi/ |
| Package repository | View on CRAN |
| Installation |
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