CausaliPy
Causal Methods implemented in Python.
Installation
Install via
pip install causalipy
It might make sense to add the py-arrow dependency (which is currently required for the example):
pip install pyarrow
Example
To run a version of the multi-period difference-in-difference estimator as
proposed by Callaway and Sant’Anna (2020) (this requires additionally pyarrow - e.g. via
pip install pyarrow - to be installed currently):
from causalipy.did.multi_periods import MultiPeriodDid
import pandas as pd
url = "https://github.com/mohelm/causalipy-datasets/raw/main/mpdta-sample.feather"
data = pd.read_feather(url)
mpd_minimum_wage = MultiPeriodDid(
data,
outcome="lemp",
treatment_indicator="treat",
time_period_indicator="year",
group_indiciator="first.treat",
formula="~ 1",
)
mpd_minimum_wage.plot_treatment_effects()
This will give:
License
This project is licensed under the terms of the MIT license.
Release files for causalipy 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| causalipy-0.1.1.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| causalipy-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.8 kB
Release files / causalipy-0.1.1.tar.gz
| Download URL | causalipy-0.1.1.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
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Release files / causalipy-0.1.1-py3-none-any.whl
| Download URL | causalipy-0.1.1-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
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No |
| Uploaded via |
poetry/1.1.11 CPython/3.9.6 Darwin/21.1.0
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