Author
Abstract
EU Pay Transparency Directive 2023/970/EU requires mandatory gender pay gap reporting and joint pay assessments across all member states by June 2026. The Directive’s implicit premise — that structured disclosure will close gaps that competitive labour markets have failed to address — has not been empirically tested against cross-country tightness data. We test it using a 20-country, 11-sector, 6-year (2019–2024) Eurostat panel covering the EU27. We compute four composite workforce intelligence indices — Hiring Pressure Index (HPI), Labour Resilience (LR), Equity Risk Score (ERS), and Transition Readiness (TR, in development) — and find that labour market tightness and gender pay equity risk are structurally misaligned. The Pearson correlation between employment rates and gender pay gaps across the 20-country sample is weakly positive (r ≈ +0.41; p ≈ 0.07, n = 20), contradicting competitive equalisation theory. This cross-sectional correlation is treated as indicative; the panel dimension of the dataset provides the stronger basis for inference. The five tightest labour markets (Netherlands HPI=100, Germany HPI=99, Czech Republic HPI=95, Hungary HPI=88, Estonia HPI=67) record all-sector gaps of 11.4%, 16.8%, 17.5%, 16.9%, and 16.3% respectively — all above the EU27 average of 11.1%. A novel Combined Risk Quadrant, plotting HPI against ERS for all 20 countries, identifies Germany, Czech Republic, Hungary, and Latvia as Priority intervention cases: maximum hiring pressure coexisting with near-maximum equity risk. The Finance sector (EU27 average gap 24.28%) is the highest-risk sector in virtually every country, followed by ICT (19.68%). Construction’s negative EU27 average gap (−3.49%) is a statistical artefact of extreme occupational segregation, not evidence of equality. Apparently low gaps in Italy (3.3%) and Spain (8.9%) reflect positive selection of women into employment rather than genuine pay equity. We present WorkforceGuard, an open-source analytics system that implements these indices over a DuckDB/dbt pipeline ingesting live Eurostat data, with provenance metadata on very output, evidence-bounded LLM analysis, and a SHA-256 hash-chained governance log meeting the Directive’s audit requirements. The system and all data are publicly available.
Suggested Citation
Soura Vamseekar, Marti, 2026.
"Why Tight Labour Markets Do Not Close Gender Pay Gaps: Evidence from a 20-Country Eurostat Panel,"
MPRA Paper
129330, University Library of Munich, Germany.
Handle:
RePEc:pra:mprapa:129330
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JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J58 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Public Policy
- J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
- K31 - Law and Economics - - Other Substantive Areas of Law - - - Labor Law
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