SCPI

The scpi package provides Python, R and Stata implementations of estimation and inference procedures for synthetic control methods.

This work was supported by the National Science Foundation through grants SES-1947805, SES-2019432, and SES-2241575, and by the National Institutes of Health through grant R01 GM072611-16.

Queries and Requests

Please email: scpi_pkg@googlegroups.com

Python Implementation

To install/update in Python type:

pip install scpi_pkg

R Implementation

To install/update in R from CRAN type:

install.packages('scpi')

Stata Implementation

The Stata implementation relies on Python, which needs to be available in the system.

How to install Python

There are at least two ways to install Python:

  1. Download and install Python directly from https://realpython.com/installing-python/.
  2. Download and install Anaconda for Windows, macOS, or Linux.

After Python is installed, please run the following two commands via the Python command line:

pip install luddite
pip install scpi_pkg

Stata (16.0 or newer) and Python (>=3.8) can be linked following the official tutorial on the Stata blog.

To install/update in Stata type:

net install grc1leg, from("http://www.stata.com/users/vwiggins/") replace force
net install scpi, from(https://raw.githubusercontent.com/nppackages/scpi/master/stata) replace force

Repository

For source code and related files, visit scpi repository.

References

Software and Implementation

Technical and Methodological