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DiSCos: Distributional Synthetic Controls Estimation

The method of synthetic controls is a widely-adopted tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity. This package implements a simple extension of the synthetic controls estimator, developed in Gunsilius (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional structure and provides nonparametric estimates of the heterogeneity within the aggregate unit. The idea is to replicate the quantile function associated with the treated unit by a weighted average of quantile functions of the control units. The package contains tools for aggregating and plotting the resulting distributional estimates, as well as for carrying out inference on them.

Version: 0.1.1
Depends: data.table, R (≥ 2.10), ggplot2
Imports: CVXR, pracma, Rdpack, parallel, evmix, utils, extremeStat, MASS
Suggests: haven, latex2exp, knitr, rmarkdown, maps, testthat (≥ 3.0.0), quadprog
Published: 2024-07-23
DOI: 10.32614/CRAN.package.DiSCos
Author: David Van Dijcke ORCID iD [aut, cre], Florian Gunsilius ORCID iD [aut], Siyun He ORCID iD [aut]
Maintainer: David Van Dijcke <dvdijcke at umich.edu>
BugReports: https://github.com/Davidvandijcke/DiSCos/issues
License: MIT + file LICENSE
URL: http://www.davidvandijcke.com/DiSCos/, https://github.com/Davidvandijcke/DiSCos
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DiSCos results

Documentation:

Reference manual: DiSCos.pdf
Vignettes: Empirical Application in Gunsilius (2023)

Downloads:

Package source: DiSCos_0.1.1.tar.gz
Windows binaries: r-devel: DiSCos_0.1.1.zip, r-release: DiSCos_0.1.1.zip, r-oldrel: DiSCos_0.1.1.zip
macOS binaries: r-release (arm64): DiSCos_0.1.1.tgz, r-oldrel (arm64): DiSCos_0.1.1.tgz, r-release (x86_64): DiSCos_0.1.1.tgz, r-oldrel (x86_64): DiSCos_0.1.1.tgz
Old sources: DiSCos archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DiSCos to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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