microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R

microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R

: synthetic control methods, micro-level, causal inference, Synth, program evaluation

The R package microsynth has been developed for implementation of the synthetic
control methodology for comparative case studies involving micro- or meso-level data.
The methodology implemented within microsynth is designed to assess the efficacy of a
treatment or intervention within a well-defined geographic region that is itself a composite
of several smaller regions (where data are available at the more granular level for comparison regions as well). The effect of the intervention on one or more time-varying outcomes
is evaluated by determining a synthetic control region that resembles the treatment region
across pre-intervention values of the outcome(s) and time-invariant covariates and that is
a weighted composite of many untreated comparison regions. The microsynth procedure
includes functionality that enables its user to (1) calculate weights for synthetic control,
(2) tabulate results for statistical inferences, and (3) create time series plots of outcomes
for treatment and synthetic control. In this article, microsynth is described in detail and
its application is illustrated using data from a drug market intervention in Seattle, WA

Michael W. Robbins

https://www.jstatsoft.org/article/view/v097i02

RAND Corporation

Januari 2021

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