Jakob, Martina (2023). Using Field Experiments and Machine Learning to Bridge the Global Learning Gap. (Thesis). Universität Bern, Bern
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Abstract
This dissertation combines field experiments and machine learning to study education in low- and middle-income countries. The first chapter develops a novel approach to measuring educational attainment from social media data. The second and third chapters evaluate teacher training interventions in El Salvador and Tanzania. The fourth chapter compares bottom-up and top-down approaches to public goods provision in rural El Salvador using deep learning for outcome measurement.
| Item Type: | Thesis |
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| Dissertation Type: | Cumulative |
| Date of Defense: | 14 December 2023 |
| Subjects: | 000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology 300 Social sciences, sociology & anthropology > 330 Economics 300 Social sciences, sociology & anthropology > 370 Education |
| Institute / Center: | 03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology |
| Depositing User: | Hammer Igor |
| Date Deposited: | 20 Jan 2026 17:41 |
| Last Modified: | 20 Jan 2026 23:25 |
| URI: | https://boristheses.unibe.ch/id/eprint/7062 |
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