New EMN-OECD joint study examines skills matching policies and instruments for third country nationals
Update Explained
A recent study conducted by the EMN and the OECD analyzes the mismatch between the skills of third-country nationals and their employment positions in the labor market across EMN Member Countries. These third-country nationals include labor migrants, individuals arriving through family reunification, beneficiaries of international protection, and beneficiaries of temporary protection. The study identifies challenges such as language barriers, recognition of qualifications, and care-related constraints as contributing factors to the problem, which often results in migrants working in jobs below their qualification level. To address these challenges, various policies and instruments have been implemented, including language training, qualification recognition measures, and career guidance. Persistent challenges such as insufficient language support and complex qualification recognition procedures remain, but good practices are emerging that integrate recognition, language support, and vocational training to improve outcomes.
Why it matters
The study highlights that third-country nationals are often employed in positions below their qualifications, leading to underutilization of their skills and lower earnings. Various initiatives at national and local levels aim to help improve this situation by providing better language training and more effective recognition of foreign qualifications.
Who is affected
- Labor migrants
- Individuals arriving via family reunification
- Beneficiaries of international protection
- Beneficiaries of temporary protection
Key dates
Publication date
Jul 28, 2026
Key details
- Limited language proficiency and recognition of qualifications are main barriers to appropriate employment for third-country nationals.
- Countries are introducing measures like language training, upskilling, and industry-specific programs to address these challenges.
- Persistent challenges remain, such as advanced language support and complex recognition processes, but integrated approaches are being developed.