Access the full text.
Sign up today, get DeepDyve free for 14 days.
Purpose – This paper seeks to shed further light on the native‐migrant differences in economic outcomes. The aim is to investigate labor market reintegration, patterns of job search, and reservation wages across unemployed migrants and natives in Germany. Design/methodology/approach – The paper is based on the IZA Evaluation Dataset, a recently collected rich survey of a representative sample of entrants into unemployment in Germany. The data include a large number of migration variables, allowing us to adapt a recently developed concept of ethnic identity: the ethnosizer. The authors analyze these data using the OLS technique as well as probabilistic regression models. Findings – The results indicate that separated migrants have a relatively slow reintegration into the labor market. It can be argued that this group exerts a relatively low search effort and that it has reservation wages which are moderate, yet still above the level which would imply similar employment probabilities as other groups of migrants. Research limitations/implications – The findings indicate that special attention needs to be paid by policy makers to various forms of social and cultural integration, as it has significant repercussions on matching in the labor market. Originality/value – The paper identifies a previously unmapped relationship between ethnic identity and labor market outcomes.
International Journal of Manpower – Emerald Publishing
Published: Oct 18, 2011
Keywords: Migration; Ethnicity; Ethnic identity; Ethnosizer; Unemployment; Job search; Reservation wages; Ethnography; Germany; Job mobility; Immigrants
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.