Structural, Social, and Ecological Dimensions of Female Labor Force Participation: A Bayesian Analysis Across National Contexts
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Key Points
Female labor force participation is significantly influenced by national income levels and unemployment rates, with disparities persisting across different contexts.
The analysis demonstrates that while many women complete higher education, barriers to accessing formal jobs remain, especially in non-OECD countries.
This study employs a Bayesian hierarchical panel regression model to assess socio-economic and spatial factors affecting women’s participation in 49 countries from 2013 to 2022.
It highlights that achieving gender equality in labor requires an integrated approach involving education, labor reforms, land access, and addressing regional disparities.
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Implication
Bayesian analysis reveals macroeconomic conditions and public investment affect female labor force participation, indicating institutional disparities.