Estimating gender inequalities in labor-market outcomes using mobile phone data
Mobile phone data holds promise for contributing to slow-filling gaps about women and men’s labor. We generated gender-specific predictions of three labor market indicators (employment, unemployment and underemployment) using machine learning models that analyzed digital trace data and geospatial da...
| Main Authors: | , , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
CGIAR
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/137808 |
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