ruspy
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Python package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)
ruspy
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ruspy
is an open-source package for the simulation and estimation of a prototypical
infinite-horizon dynamic discrete choice model based on
Rust, J. (1987). `Optimal replacement of GMC bus engines: An empirical model of Harold Zurcher. <https://doi.org/10.2307/1911259>`_ *Econometrica, 55* (5), 999-1033.
You can install ruspy
via conda with
.. code-block:: bash
$ conda config --add channels conda-forge
$ conda install -c opensourceeconomics ruspy
Please visit our online documentation <https://ruspy.readthedocs.io/>
_ for
tutorials and other information.
Citation
If you use ruspy for your research, do not forget to cite it with
.. code-block:: bash
@Unpublished{ruspy.2020,
Author = {{ruspy}},
Title = {An open-source package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)},
Year = {2020},
URL = {https://github.com/OpenSourceEconomics/ruspy/releases/v1.1},
}