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scpi (version 3.0.0)

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

Description

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) for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2024) .

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Version

Install

install.packages('scpi')

Monthly Downloads

444

Version

3.0.0

License

GPL-2

Maintainer

Filippo Palomba

Last Published

January 31st, 2025

Functions in scpi (3.0.0)

scplotMulti

Plot Synthetic Control Point Estimates and Prediction Interval With Multiple Treated units and Staggered Adoption
scplot

Plot Synthetic Control Point Estimates and Prediction Interval
summary.scest

Summary Method for Synthetic Control Prediction
scpi_germany

Replication Dataset for Estimating the Economic Impact of German Reunification
scpi

Prediction Intervals for Synthetic Control Methods
summary.scdata

Summary Method for Synthetic Control Prediction
summary.scdataMulti

Summary Method for Synthetic Control Prediction
summary.scpi

Summary Method for Synthetic Control Inference
scpi-package

scpi: A Package to Compute Synthetic Control Prediction Intervals With Multiple Treated Units and Staggered Adoption
print.scdata

Summary Method for Synthetic Control
scdata

Data Preparation for scest or scpi for Point Estimation and Inference Procedures Using Synthetic Control Methods.
coef.scest

Coef Method for Synthetic Control Methods
scest

Prediction of Synthetic Control
print.scpi

Print Method for Synthetic Control Inference
print.scest

Print Method for Synthetic Control Methods
coef.scpi

Coef Method for Synthetic Control Methods
print.scdataMulti

Summary Method for Synthetic Control
scdataMulti

Data Preparation for scest or scpi for Point Estimation and Inference Procedures Using Synthetic Control Methods.