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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@Unpublished{ruspy.2020,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},
    }