sccic: Synthetic Control Changes-in-Changes Estimator

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 both the continuous CIC estimator (Theorem 3.1) and the discrete CIC estimator (Theorem 4.1) for integer-valued outcomes, with analytic and bootstrap inference. Also 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.

Version:	0.1.1
Depends:	R (≥ 3.5.0)
Imports:	glmnet, stats
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2, wooldridge, qte, Synth
Published:	2026-04-10
DOI:	10.32614/CRAN.package.sccic
Author:	Neil Hwang [aut, cre]
Maintainer:	Neil Hwang <neil.hwang at bcc.cuny.edu>
BugReports:	https://github.com/neilhwang/sccic/issues
License:	GPL (≥ 3)
URL:	https://github.com/neilhwang/sccic
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	sccic results

Documentation:

Reference manual:	sccic.html , sccic.pdf
Vignettes:	Introduction to sccic (source, R code)

Downloads:

Package source:	sccic_0.1.1.tar.gz
Windows binaries:	r-devel: sccic_0.1.1.zip, r-release: sccic_0.1.1.zip, r-oldrel: sccic_0.1.1.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): sccic_0.1.1.tgz, r-oldrel (x86_64): sccic_0.1.1.tgz
Old sources:	sccic archive

Linking:

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