Language Proficiency of Migrants: The Relation with Job Satisfaction and Matching

Hans Bloemen ()

No 7366, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We empirically analyze the language proficiency of migrants in the Netherlands. Traditionally, the emphasis in studying language proficiency and economic outcomes has been on the relation between earnings and indicators for language proficiency, motivated by the human capital theory. Here we analyze whether there is a relation between proficiency of the destination language and job level. A lack of language skills may induce the migrant to work in jobs of a lower level leading to lower job satisfaction. We use subjective survey information about job satisfaction and the fit between the migrant's education and skill level and the job. We also use objective information on professional level. For men, we find evidence for a positive relationship between indicators for language proficiency and satisfaction with work type and professional level.

Keywords: immigrants; skills; job satisfaction (search for similar items in EconPapers)
JEL-codes: J15 J24 J28 (search for similar items in EconPapers)
Pages: 57 pages
Date: 2013-04
New Economics Papers: this item is included in nep-hap, nep-hrm and nep-mig
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://docs.iza.org/dp7366.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp7366

Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany

Access Statistics for this paper

More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().