summary.scpi

The summary method for synthetic control inference objects.

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>.

Filippo Palomba

scpi

Prediction Intervals for Synthetic Control Methods with Multiple
Treated Units and Staggered Adoption

Matias Cattaneo

Yingjie Feng

Rocio Titiunik

summary.scpi function

<dl><dt>object</dt>
<dd>Class "scpi" object, obtained by calling <code>scpi</code>.</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Matias Cattaneo, Princeton University. <a href="/link/cattaneo%40princeton.edu?package=scpi&version=3.0.0" data-mini-rdoc="scpi::cattaneo@princeton.edu">cattaneo@princeton.edu</a>.
Yingjie Feng, Tsinghua University. <a href="/link/fengyj%40sem.tsinghua.edu.cn?package=scpi&version=3.0.0" data-mini-rdoc="scpi::fengyj@sem.tsinghua.edu.cn">fengyj@sem.tsinghua.edu.cn</a>.
Filippo Palomba, Princeton University (maintainer). <a href="/link/fpalomba%40princeton.edu?package=scpi&version=3.0.0" data-mini-rdoc="scpi::fpalomba@princeton.edu">fpalomba@princeton.edu</a>.
Rocio Titiunik, Princeton University. <a href="/link/titiunik%40princeton.edu?package=scpi&version=3.0.0" data-mini-rdoc="scpi::titiunik@princeton.edu">titiunik@princeton.edu</a>.

Author

Summary Method for Synthetic Control Inference — summary.scpi

<dl>

<dt>object</dt>
<dd>Class "scpi" object, obtained by calling <code>scpi</code>.</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

Matias Cattaneo, Princeton University. <a href='mailto:cattaneo@princeton.edu'>cattaneo@princeton.edu</a>.
Yingjie Feng, Tsinghua University. <a href='mailto:fengyj@sem.tsinghua.edu.cn'>fengyj@sem.tsinghua.edu.cn</a>.
Filippo Palomba, Princeton University (maintainer). <a href='mailto:fpalomba@princeton.edu'>fpalomba@princeton.edu</a>.
Rocio Titiunik, Princeton University. <a href='mailto:titiunik@princeton.edu'>titiunik@princeton.edu</a>.

summary.scpi: Summary Method for Synthetic Control Inference

Description

Usage

Value

Arguments

Author

See Also