PolicyEngine solves the complexity of comparing economic policy simulations across different countries by providing a unified Python interface. It integrates country-specific engines for running simulations, generating analytics, and creating visualizations. The package simplifies cross-country policy analysis by offering consistent tools to model the effects of tax and benefit reforms, using features like interactive charts and reproducible visualizations.
About Contributor
Mohammed Ismail is a final-year B.Tech student in computer science with a genuine interest in open source, machine learning, and data science. He enjoys solving complex problems and learning new things. When he’s not coding, you can find him playing basketball or sipping on his favorite caffeine boost to keep his energy up !
Key Impact Takeaways:
- PolicyEngine will make it easy to run policy simulations for multiple countries, starting with the US and UK.
- Users can analyze and compare the impact of policies on different groups of people and see how they affect things like income, poverty, and inequality.
- The package will let users recreate charts from the PolicyEngine website, making it simple to generate insights and reports.
- PolicyEngine will use Plotly to create interactive and visually appealing charts, allowing users to easily explore data.
- The project includes clear documentation and tutorials so that anyone can use the package, regardless of their experience level.
- PolicyEngine will be available on GitHub and can be installed with a simple pip command.”