The discovery of the effects of women employment participation on the fertility of developing countries: A panel data approach
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Computer Science > Machine Learning
Title:The discovery of the effects of women employment participation on the fertility of developing countries: A panel data approach
Abstract:The fertility trend in developing countries has experienced a significant decline in the last few decades; at the same time, the role of women in the workplace has improved. To have a better insight of the causality of the rate of women participation in the labor market on the total fertility rate in developing world, this paper divides the dataset of 115 developing countries in the period of 1991-2018 into four continents group (Africa, North/South America, Asia/Pacific, Europe) and then applies a data-driven panel data econometric procedure to mitigate omitted bias. The results suggest that the fertility behaviors of women in the North/South America continents are influenced by their career choice; meanwhile in society of other regions, other factors might be more important to women when thinking of having children. In conclusion, policymakers can reference to the paper and formulate policies to have more incentives in making reproductive decisions and further research in the field needs to consider family policies and patrilocality of developing countries as important data.
| Subjects: | Machine Learning (cs.LG) |
| Cite as: | arXiv:2606.07093 [cs.LG] |
| (or arXiv:2606.07093v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2606.07093
arXiv-issued DOI via DataCite (pending registration)
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Submission history
From: Thi Kim Ngan Nguyen [view email][v1] Fri, 5 Jun 2026 09:39:59 UTC (707 KB)
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