Tax-Brain is a Python package that wraps multiple economic models in one easy to use interface.
Tax-Brain makes it easy for users to simulate the US tax system by providing a single interface for multiple tax models. Currently, Tax-Brain interfaces with Tax-Calculator and Behavioral-Responses. Additional models will be added in the near future to expand Tax-Brain's capabilities to include modeling business taxation and running dynamic general equilibrium simulations.
To learn more about how Tax-Brain works, see the Tax-Brain documentation.
Tax-brain and its underlying models are constantly being improved upon. For that reason, the results output by Tax-Brain may differ over time. It is strongly suggested that the user make note of which version of Tax-Brain, they are using when reporting their results.
You can install the latest official release from Conda using this command:
conda install -c pslmodels taxbrain.
Similarly, you can update to the latest release of Tax-Brain using
conda update -c pslmodels taxbrain.
Tax-Brain is currently not available on PyPI.
View the sample code in example.py to see how to run Tax-Brain. Or, see the user guide for a more detailed walk through.
Please cite the source of your analysis as "Tax-Brain release #.#.#, author's
calculations." If you would like to link to Tax-Brain, please use
https://github.com/PSLmodels/Tax-Brain. It is also strongly suggested that
you describe your input data and note the versions of the underlying models.
In addition to its Python API, Tax-Brain also powers a web application on Compute Studio. That application can be found here. The code behind the GUI can be found in this repository in the cs-config directory.
To release new versions of Tax-Brain, use the Package-Builder
tool. Before using the tool, be sure to add the conda-forge channel to your
conda config by using conda config --add channels conda-forge.