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Data and code for analyses in "How does the Minnesota Alternative Minimum Tax Affect Household Filers?"

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Data and code for "How does the Minnesota Alternative Minimum Tax Affect Household Filers?"

This repository contains the data and code for the analyses in the Research in Focus article by Richard W. Evans (@rickecon) and Mitchell Pound (@mitchellpound) entitled "How does the Minnesota Alternative Minimum Tax Affect Household Filers?".

How to run the code from these analyses in the cloud in your browser

We have created a Google Colab notebook with code almost exactly the same as th code in the Jupyter Notebook MN_AMT.ipynb decribed in the next section. The Google Colab notebook has the advantage of using a distribution of Python and corresponding packages that run in the cloud on remote servers instead of on your local machine. This allows you to use the notebook from any kind of device with a browser. You can execute th code, see the results, and save output to a temporary cloud folder from which you can download anything you want to keep.

How to run the Jupyter Notebook on your machine

This repository contains a Jupyter Notebook MN_AMT.ipynb that can be run locally on your own machine to replicate the analyses in the paper. You can also modify this notebook to use for other analyses you might want to experiment with. To run this notebook locally on your machine, do the following steps:

  • Fork and clone (or download) the https://github.com/TheCGO/MN-AMT repository
  • In your computer's terminal, navigate to the directory of the MN-AMT repository on your local machine.
  • Create the conda environment mn-amt-dev by typing the following command: conda env create -f environment.yml
  • Activate the mn-amt-dev conda environment by typing the following command: conda activate mn-amt-dev
  • This should allow your notebook to run while this conda environment is activated.

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