kene-anunagba/nigeria-fuel-subsidy-simulation

A beginner Python policy simulation project on the impact of fuel subsidy removal in Nigeria. # Nigeria Fuel Subsidy Simulation This is a beginner Python project that simulates how fuel subsidy removal can affect household disposable income in Nigeria. ## Project idea The goal of this project is to practice policy simulation in a simple way and better understand the logic behind models like OG-Core by UNDESA. ## Project purpose The project models how an increase in fuel prices affects: - household fuel spending - disposable income - financial pressure across different income groups ## Files in this repository - `nigeria_fuel_subsidy.py` — single-household simulation first try - `nigeria_households.py` — multiple-household comparison ## Example policy question How does fuel subsidy removal affect households with different income levels in Nigeria? ## Key insight The simulation shows that subsidy removal reduces disposable income for all households but burden varies. For instance, a Higher income household loses more money in absolute naira terms, but lower income household may be more financially vulnerable because they have less room to absorb rising costs. ## Background I created this project to better understand policy simulation by applying Python to a real Nigerian economic issue. It is my first time learning about OG core and I wanted to practise a simulation rather than read the theorical aspect of it. This proejct has given me an additional knowledge and helped me understand in simpler ways the the basic structure of input, logic, and output of the OG core model. ## Tools used - Python on Visucal Studio code. Extra - it is very easy to use than Macbook termnimal for a new learner. ## Future improvements - add percentage income loss - add charts - simulate impact over time - compare more household groups