Kunashe-n/Quantitative-Analysis-of-Poverty-and-Inequality-in-Zimbabwe

A brief overview stating that this repository contains the Python models supplementing the manuscript submitted to the Journal of ASAP. # Quantitative Analysis of Poverty and Inequality in Zimbabwe ## Description This repository contains the Python-based computational models and data analysis scripts supplementing the manuscript "Bridging Operations Research and Social Justice: A Rigorous Analysis of Poverty and Inequality in Zimbabwe," submitted to the Journal of Academics Stand Against Poverty (Journal of ASAP). The models include Ordinary Least Squares (OLS) regression for structural determinants of inequality, Monte Carlo simulations for stochastic forecasting of macroeconomic shocks, and Linear Programming (LP) for optimizing social protection resource allocation. ## Dependencies To run these scripts, you will need Python installed along with the following libraries: `pip install pandas numpy statsmodels pulp` ## Usage You can execute each model independently from the command line: * **Regression Analysis:** `python regression_analysis.py` * **Stochastic Forecasting:** `python monte_carlo_poverty.py` * **Linear Programming Optimization:** `python resource_optimization.py`