Metadata-Version: 2.1
Name: pysyncon
Version: 0.1.0
Home-page: https://github.com/sdfordham/pysyncon/
Author: Stiofán Fordham
License: MIT License
Keywords: Synth,augsynth,synthetic-control-method,causal-inference
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (==1.24.0)
Requires-Dist: matplotlib (==3.6.2)
Requires-Dist: pandas (==1.5.2)
Requires-Dist: scipy (==1.9.3)
Provides-Extra: dev
Requires-Dist: black (==22.12.0) ; extra == 'dev'

# pysyncon

A python module for the synthetic control method that provides the same functionality as the R package [Synth](https://CRAN.R-project.org/package=Synth) and eventually [augsynth](https://github.com/ebenmichael/augsynth) and some other methods related.

## Usage

In the examples folder are notebooks reproducing the weights from:

- The Economic Costs of Conflict: A Case Study of the Basque Country, Alberto Abadie and Javier Gardeazabal; The American Economic Review Vol. 93, No. 1 (Mar., 2003), pp. 113-132.
- The worked example 'Prison construction and Black male incarceration' from the last chapter of 'Causal Inference: The Mixtape' by Scott Cunningham.
- Comparative Politics and the Synthetic Control Method, Alberto Abadie, Alexis Diamond and Jens Hainmueller; American Journal of Political Science Vol. 59, No. 2 (April 2015), pp. 495-510.
