Summary

The gender wage gap persists as a salient indicator of labour market inequality, reflecting differences in earnings between men and women. Research has progressed from simple average comparisons to nuanced decompositions that distinguish between observable characteristics—such as education, work experience and occupation—and residual disparities that may indicate discrimination or unobserved factors. Over recent decades, globalisation, technological change and evolving social norms have altered the structure of labour markets, influencing the gap’s size and composition across countries and industries. Empirical studies reveal that some of the narrowing observed in advanced economies owes to increased female labour force participation, delayed motherhood and policy interventions such as parental leave and pay transparency. Nonetheless, persistent wage differentials endure within occupations and at senior levels of management, often exacerbated by career interruptions and sectoral segregation. Understanding the interplay between structural, institutional and demographic determinants remains crucial for designing effective measures to promote pay equity and to harness the full potential of women’s contributions to economic growth.

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Gender Wage Gap Dynamics in Labor Markets publication trend

The graph below shows the total number of articles in gender wage gap dynamics in labor markets across all publications each year (not limited to Nature Index journals).

Technical terms

Gender wage gap: The percentage or logarithmic difference in average earnings between male and female workers.

Oaxaca–Blinder decomposition: A method that separates the wage gap into an ‘explained’ component due to observable characteristics and an ‘unexplained’ residual often interpreted as discrimination.

Matching techniques: Statistical procedures that pair individuals with similar characteristics to estimate the causal effect of a binary treatment—in this case, gender—on outcomes such as wages.

Log points: A measure of proportional differences in earnings, calculated as the difference between logarithms of wages, often approximating percentage changes.

References

  1. The gender pay gap in the USA: a matching study. Journal of Population Economics (2019).
  2. Early gender gaps among university graduates. European Economic Review (2018).
  3. The New Life Cycle of Women's Employment: Disappearing Humps, Sagging Middles, Expanding Tops. Journal of Economic Perspectives (2017).

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