Nonlinear Dynamics of Female Employment: Evidence from Structural Transformation and Labor Market Composition
Keywords:
Female employment, Nonlinear modeling, Structural transformation, Labor market dynamics, FertilityAbstract
This study examines the nonlinear determinants of female employment within the context of structural transformation and labor market composition. Moving beyond conventional linear specifications, the paper develops and empirically validates a nonlinear modeling framework that captures saturation effects, asymmetric sectoral responses, and demographic constraints. Using time series data and nonlinear least squares estimation, the results reveal that female employment responds nonlinearly to industrial expansion, service sector growth, agricultural dependence, fertility behavior, and labor market vulnerability. Formal wage employment exhibits diminishing marginal effects beyond threshold levels, while agricultural dependence and fertility exert increasingly restrictive influences. Diagnostic evaluations confirm strong model fit and well behaved residuals, underscoring the robustness of the nonlinear specification. The findings highlight the limitations of linear policy prescriptions and emphasize the need for adaptive, threshold aware employment strategies. The study contributes methodologically by demonstrating the relevance of nonlinear approaches in labor market analysis and substantively by offering policy relevant insights for female employment promotion in developing economies.
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