Objective
The proposed research assesses the price of skills mismatch of non-native employees, and the subsequent incidence of this mismatch on workers on different job- and task-complexity levels in the labour market. At the level of individuals, it investigates how earnings of foreign workers with education surplus alters once firm, sector, location characteristics and cultural distance between the home and host country of workers are taken into account. Subsequently, in Dutch and British labour markets, it comparatively assesses the aggregate displacement effect on natives of foreigners who work in occupations below their education level. The research informs policy-making with respect to a more detailed classification on which skilled people to admit and the channels of training for the newcomers. The analyses are based on proprietary micro-data sets that are tailored to make several unique contributions: The program explicitly incorporates the demand side, which is typically ignored, to uncover the heterogeneity of the skills mismatch effects according to firm characteristics, agglomeration economies and differences in job and task-complexity. It also distinguishes how urban density and agglomeration economies potentially mediate the impact of skills mismatch. Moreover, by including a measure of cultural and linguistic distance between the employee’s country of origin and the host country, the research identifies forms of state dependence and returns to country of origin specific skills. Particular emphasis is given to address the measurement error and ability bias through quasi-experimental research designs, fixed effects models and synthetic cohort analysis. The proposed program forms a bridge between education, welfare, and integration aspects of immigration with space and local characteristics of recipient economies. It adds to evidence-based immigration policy informed of the cost and mechanisms of mismatch impacting healthy labour market integration of newcomers.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences political sciences political policies public policies
- social sciences economics and business economics production economics productivity
- social sciences sociology governance taxation
- social sciences economics and business business and management employment
- social sciences sociology demography human migrations
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
B15 2TT Birmingham
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.