Tax-Brain is an integrator model for PSL tax models
| Org |    |
| Package |       |
| Testing |    |
Tax-Brain is a Python package that wraps two models, Tax-Calculator and Behavioral Responses, in one easy
to use interface for producing revenue estimates and distributional analysis of tax policy changes.
We are seeking contributors and maintainers. If you are interested in joining the project as a contributor or maintainer,
open a new issue and ping @jdebacker — or just jump right in.
Complete documentation is available attaxbrain.pslmodels.org.
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 PyPI using this command:pip taxbrain.
Similarly, you can update to the latest release of Tax-Brain usingpip install -U taxbrain.
Tax-Brain is no longer maintained on Conda.
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 usehttps://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 has also been used to power web applications on
Compute Studio and other platforms. An application used to be available at
here. The code behind the
GUI web application can be found in this repository in the cs-config
directory.