The package computes point estimates and prediction intervals for Synthetic Control methods with multiple treated units and staggered adoption as proposed in Cattaneo, Feng, Palomba, and Titiunik (2024).
The scpi_pkg package provides Python implementations of estimation and inference procedures for Synthetic Control methods.
Matias D. Cattaneo (cattaneo@princeton.edu)
Yingjie Feng (fengyj@sem.tsinghua.edu.cn)
Filippo Palomba (fpalomba@princeton.edu)
Rocio Titiunik (titiunik@princeton.edu)
https://nppackages.github.io/scpi/
To install/update use pip
pip install scpi_pkg
from from scpi_pkg.scdata import scdata
from from scpi_pkg.scdataMulti import scdataMulti
from scpi_pkg.scest import scest
from scpi_pkg.scpi import scpi
from scpi_pkg.scplot import scplot
from scpi_pkg.scplotMulti import scplotMulti
For overviews and introductions, see nppackages website.
FAQs
The package computes point estimates and prediction intervals for Synthetic Control methods with multiple treated units and staggered adoption as proposed in Cattaneo, Feng, Palomba, and Titiunik (2024).
We found that scpi-pkg demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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