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sccic  

Synthetic Control Changes-in-Changes Estimator
View on CRAN: Click here


Download and install sccic package within the R console
Install from CRAN:
install.packages("sccic")

Install from Github:
library("remotes")
install_github("cran/sccic")

Install by package version:
library("remotes")
install_version("sccic", "0.1.0")



Attach the package and use:
library("sccic")
Maintained by
Neil Hwang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-09
Latest Update: 2026-04-09
Description:
Implements the Changes-in-Changes (CIC) estimator of Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> combined with synthetic control methods. Provides nonparametric estimation of the entire counterfactual distribution of outcomes for a treated group, allowing evaluation of average, quantile, and distributional treatment effects. Synthetic control weights are constructed via elastic net regularization to handle settings with many potential control units.
How to cite:
Neil Hwang (2026). sccic: Synthetic Control Changes-in-Changes Estimator. R package version 0.1.0, https://cran.r-project.org/web/packages/sccic. Accessed 29 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.0 (2026-04-09 11:00)
Other packages that cited sccic R package
View sccic citation profile
Other R packages that sccic depends, imports, suggests or enhances
Complete documentation for sccic
Functions, R codes and Examples using the sccic R package
Full sccic package functions and examples
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