世界银行：女性劳动力参与和性别规范：阿拉伯埃及共和国的机器学习分析（英文版）

This paper addresses two gaps in the female labor force participation literature: the integrated analysis of individual, household, community, and national determinants, and the use of machine learning techniques to capture nonlinear dynamics. Using decision trees, the analysis identifies key drivers, thresholds, and sequences shaping women’s labor participation in the Arab Republic of Egypt—which remains below regional and global averages. Drawing on 2021–22 Arab Barometer data, the analysis