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.

Package details

AuthorNeil Hwang [aut, cre]
MaintainerNeil Hwang <neil.hwang@bcc.cuny.edu>
LicenseGPL (>= 3)
Version0.1.1
URL https://github.com/neilhwang/sccic
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sccic")

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sccic documentation built on April 10, 2026, 5:07 p.m.