Marti Soura Vamseekar

Working paper · 2026

Why Tight Labour Markets Do Not Close Gender Pay Gaps: Evidence from a 27-Country Eurostat Panel

Competition for workers is supposed to bid wages up and close the gender pay gap. Across 27 member states and six years, employment and the pay gap move together instead.

Finding

Gender pay gap (%) against employment rate (%)51015202565707580Associationr ≈ +0.4427 member states2019–202411 NACE sectorsCross-sectional association.Not a causal estimate.Higher employment travels with a wider gap — not a narrower one.
Each point is a country-year. Where employment is higher, the pay gap is wider — the opposite of what competition for workers is supposed to produce.

A scatter plot of employment rate against gender pay gap across 27 EU member states from 2019 to 2024, covering 11 NACE sectors. The fitted line slopes upward, showing a positive association of approximately r = 0.44. This runs against the expectation that tighter labour markets close pay gaps through competition for workers. The association is cross-sectional and does not identify a causal effect.

Method

  • A 27-country panel built from Eurostat Labour Force Survey, Job Vacancy Statistics and Structure of Earnings Survey data, covering 2019–2024 across 11 NACE sectors.
  • Four composite indices — HPI, LR, ERS and TR — defined over the panel, with a Combined Risk Quadrant typology formed from HPI × ERS.
  • Sector decomposition separates the aggregate: finance carries a gap near 25% against an all-sector panel mean near 10.9%, so the headline figure hides most of the variation.
  • The same metrics run in production inside WorkforceGuard, on the same warehouse, with a SHA-256 hash-chained governance log — the published figures and the shipped figures cannot silently diverge.

What this does not claim

The system behind it

The panel is not a one-off script. It is the warehouse that serves WorkforceGuard in production, so the research figures and the product’s figures come from the same models.

WorkforceGuard AI