nebekisa/ethiopia-early-marriage-dhs

Determinants and Consequences of Early Marriage in Ethiopia using DHS Data (2000-2016) # Determinants and Consequences of Early Marriage in Ethiopia ### Evidence from DHS Data (2000–2016) --- ## 📌 Overview This project provides a data-driven analysis of early marriage in Ethiopia using nationally representative Demographic and Health Survey (DHS) data from four survey rounds: **2000, 2005, 2011, and 2016**. The study investigates: * Trends in early marriage over time * Socioeconomic and demographic determinants * Consequences on fertility, education, and employment This repository is designed as a **reproducible data science and research project**, following professional standards in data analysis and research reporting. --- ## 🎯 Research Objectives 1. Analyze temporal trends in early marriage prevalence 2. Identify key determinants (education, wealth, region, residence, etc.) 3. Examine consequences on: * Fertility * Educational attainment * Employment status 4. Provide evidence-based insights for policy and research --- ## 📊 Data Source Data comes from the **Ethiopia Demographic and Health Surveys (EDHS)**: * 2000 EDHS (ETIR41FL) * 2005 EDHS (ETIR51FL) * 2011 EDHS (ETIR61FL) * 2016 EDHS (ETIR71FL) > Access requires registration at the DHS Program website. --- ## 🧠 Key Variable **Early Marriage (Target Variable)** * Defined as: marriage before age 18 * Constructed from DHS variable `v511` (age at first marriage) --- ## 📁 Project Structure ``` ethiopia-early-marriage-dhs/ │ ├── data/ │ ├── raw/ # Original DHS datasets (not included) │ └── processed/ # Cleaned and merged dataset │ ── notebooks/ │ ├── 01_data_loading.ipynb │ ├── 02_data_cleaning.ipynb │ ├── 03_exploratory_analysis.ipynb │ ├── 04_feature_engineering.ipynb │ ├── 05_comprehensive_analysis.ipynb # ← MAIN ANALYSIS │ └── 06_advanced_analysis.ipynb # ← ADVANCED METHODS │ ├── src/ │ ├── config.py │ ├── data_loader.py │ └── data_cleaner.py └── model.py └──visualization.py └──wealth_proxy.py │ └── feature_engine …