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DiSCos

Distributional Synthetic Controls Estimation

Installation

About

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.

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Key Metrics

Version 0.0.1
R ≥ 2.10
Published 2024-03-14 34 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

David Van Dijcke

dvdijcke@umich.edu

Authors

David Van Dijcke

aut / cre

Florian Gunsilius

aut

Siyun He

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Empirical Application in Gunsilius (2023)

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

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