Metadata-Version: 2.1
Name: grmpy
Version: 0.1.5.dev2
Summary: grmpy is a Python package for the simulation and estimation of the generalized Roy model.
Home-page: http://grmpy.readthedocs.io
Author: The grmpy Development Team
Author-email: eisenhauer@policy-lab.org
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pytest
Requires-Dist: pandas
Requires-Dist: statsmodels
Requires-Dist: linearmodels
Requires-Dist: oyaml
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scikit-misc
Requires-Dist: numba

grmpy is a Python package for the simulation and estimation of the generalized Roy model.

# grmpy

``grmpy``  is an open-source Python package for the simulation and estimation of the generalized Roy model. It serves as a teaching tool to promote the conceptual framework of the generalized Roy model, illustrate a variety of issues in the econometrics of policy evaluation, and showcases basic software engineering practices. <br>
Marginal Treatment Effects (MTE) can be estimated based on a parametric normal model or,
alternatively, via the semiparametric method of Local Instrumental Variables (LIV).

You can install ```grmpy``` either via pip

```
$ pip install grmpy
```
Or download it directly from our GitHub repository and install the package in editable mode

```
$ git clone https://github.com/OpenSourceEconomics/grmpy.git
$ pip install -e .
```

Please visit our [online documentation](http://grmpy.readthedocs.io/) for tutorials and more.

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