MacroStat
Project Details
MacroStat is a powerful Python framework for the construction and analysis of macroeconomic simulation models. With a particular focus on Agent-based and Stock-Flow Consistent Models, it aims to provide researchers with a comprehensive suite of tools for statistical analysis and model validation.
Key features (existing and planned) include:
- Advanced sensitivity analysis tools for understanding parameter impacts (see also the Sloppy Models project)
- Robust confidence interval calculations for model predictions
- Flexible model integration - models can be written in any programming language
- Interactive visualization capabilities for complex model outputs
The framework is designed to be both powerful and accessible. While the analysis tools are built in Python, researchers can implement their models in any programming language, making MacroStat a versatile addition to any macroeconomic research toolkit. The package is actively maintained and available on PyPI, with comprehensive documentation and testing coverage.
For more information, visit the GitHub repository or check out the documentation.