mari3d/ethiopia-womens-land-rights

This project analyses gender disparities in land rights in Ethiopia using household survey microdata from the World Bank. It was originally conducted as a Master's thesis in Data Science & Economics # Women's Land Rights in Sub-Saharan Africa — Case Study: Ethiopia *Droits fonciers des femmes en Afrique subsaharienne — Étude de cas : Éthiopie* ## Overview This project analyses **gender disparities in land rights** in Ethiopia using household survey microdata from the World Bank. It was originally conducted as a Master's thesis in Data Science & Economics (M2 DS2E, 2022/23). The analysis covers three dimensions of land access for women: - **Mode of acquisition** (inheritance, purchase, grant, rent...) - **Use rights** (held alone, jointly, or absent) - **Formal ownership** (parcel ownership & documentation) ## Data | Source | Description | |--------|-------------| | World Bank — Ethiopia ESS Wave 4 (2018) | Household survey — 29,349 observations, 140 variables | The dataset is open access under the World Bank's microdata license. ## Methods - Descriptive statistics & cross-tabulations (with chi² tests) - Data visualisation (Seaborn / Matplotlib) - **Multinomial logistic regression** — mode of acquisition & use rights - **Binary logistic regression** — parcel ownership ## Key Findings - Women are significantly less likely to own land; most hold rights jointly rather than alone - **Marital status** is a strong predictor — widowed/divorced women are the most vulnerable - **Inheritance** is the dominant channel through which women access land - Significant **regional disparities** exist (Tigray vs. Somali/Dire Dawa) - Parental education and occupation have an intergenerational effect on land access ## Stack ``` Python · Pandas · Statsmodels · Seaborn · Matplotlib ``` ## Repository Structure ``` ├── analysis_ethiopia_womens_land_rights.ipynb ← Main notebook ├── data/ │ └── df3.xlsx ← Cleaned dataset (World Bank ESS) ├── outputs/ │ ├── fig1_land_rights_by_sex.png │ ├── fig2_ownership_by_region.png │ ├── fig3_acquisition_mode_women.png │ └── fig4_odds_ratios.png └── README.md ``` ## How to Run ```bash git clone …