Metadata-Version: 2.1
Name: pydynpd
Version: 0.0.4
Summary: A package to estimate dynamic panel data model using difference GMM and system GMM.
Home-page: https://github.com/dazhwu/pydynpd
Author: Dazhong Wu
Author-email: wudz800@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: prettytable
Requires-Dist: pandas


# pydynpd: Dynamic panel estimation for Difference and System GMM (generalized method-of-moments)
[![DOI](https://zenodo.org/badge/466146436.svg)](https://zenodo.org/badge/latestdoi/466146436)
[![pypi package](https://img.shields.io/pypi/v/pydynpd?style=plastic)](https://pypi.org/project/pydynpd/)


Installlation: <br>
pip install pydynpd <br>

usage: <br>
``` 
import pandas as pd
from  pydynpd import regression

df = pd.read_csv("data.csv")
mydpd = regression.pydynpd('n L(1/2).n w k  | gmm(n, 2 4) gmm(w, 1 3)  iv(k) | timedumm  nolevel', df, ['id', 'year'])
``` 


