Can call detail records provide insights into women’s empowerment? A case study from Uganda
We use CDRs of mobile phone users in Uganda combined with data from a phone survey to train machine-learning models to predict the sex of the mobile phone user and several indicators of economic empowerment such as ownership of a house and land, occupation, and decision-making over household income. The most accurate of the models predicts the sex of the mobile phone user with 78% accuracy. The different indicators of economic empowerment are predicted with accuracies ranging from 57% to 61%. We also predict users’ sex and economic empowerment jointly. However, when we predict economic empowerment and then the sex of the user, we achieve high accuracy rates ranging from 81% to 87%. Mobile phone usage data hold potential for gender research although they are not without limitations.
| Main Authors: | , , , , , , |
|---|---|
| Format: | Report biblioteca |
| Language: | English |
| Published: |
2021-01
|
| Subjects: | women's empowerment, gender equality, access to information, mobile equipment, potenciación de la mujer, igualdad de género, acceso a la información, |
| Online Access: | https://hdl.handle.net/10568/111023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|