Skip to content

Latest commit

 

History

History
77 lines (52 loc) · 2.74 KB

README.md

File metadata and controls

77 lines (52 loc) · 2.74 KB
Raw

A Mathematical Model for Progressive Adoption of Universal Basic Income in the United States of America - README

This directory contains the model-centric paper "A Mathematical Model for Progressive Adoption of Universal Basic Income in the United States of America", along with the associated code, data, and figures.

Overview

The study develops a theoretical model to simulate the economic and social impacts of progressively implementing a Universal Basic Income (UBI) in the USA. It examines various scenarios and analyzes key indicators such as GDP growth, government debt, poverty rates, and income inequality.

Contents

  • paper/: Contains the main paper and appendices.
  • code/: Python scripts for running simulations and performing sensitivity analyses.
  • data/: Calibration data and simulation results.
  • figures/: Generated figures illustrating the simulation outcomes.

Instructions

Running the Simulation

  1. Setup Environment

    • Install the required Python packages: 
      pip install numpy pandas matplotlib

  2. Run the Simulation Script

    • Navigate to the code/ directory: 
      cd code/
    • Execute the simulation script: 
      python simulation-script.py
    • The simulation results will be saved to ../data/simulation-results.csv.

  3. Generate Figures

    • Use the code snippets provided to generate figures from the simulation results.
    • Figures will be saved in the figures/ directory.

Performing Sensitivity Analysis

  • Run the sensitivity analysis script: 
    python sensitivity-analysis.py
  • This will generate additional figures saved in the figures/ directory.

Data

  • Calibration Data: Located in data/calibration-data.csv, containing the parameters used in the simulation.
  • Simulation Results: Generated after running the simulation script, saved in data/simulation-results.csv.

Contributing

  • Contributions are welcome! Please refer to the main CONTRIBUTING.md file for guidelines.
  • For this paper, you can contribute by:
    • Improving the model or simulation scripts.
    • Adding new scenarios or conducting additional analyses.
    • Enhancing documentation and visualizations.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For questions or discussions related to this paper, please open an issue or contact the maintainers.

Note: This paper is part of the Economic Model Papers repository, which aims to promote collaboration on model-centric economic research.