Author
Abstract
Drawing on data from a survey of 1,235 Syrian refugees, this article examines individual, cohort and province-level factors associated with both their labor market activities (employment, unemployment and inactivity) and occupation statuses in the Turkish labor market. In the sample, only 38.6% of Syrians are employed and 50.4% of those who are working are either in irregular, seasonal jobs or work as an unpaid family worker. We find that those who are younger, men, having a diploma higher than secondary school and those who had higher income levels before migration and have better Turkish language proficiency, on average, have higher likelihood of being employed. Moreover, self-settlement is found to decrease the probability of being unemployed and increase the chance of being out of the labor market at the same time, compared to refugees living in temporary protection camps. Women at all ages are found to have higher probability of being inactive compared to men in the same age groups. For example, at age 30, women have 50 percentage point higher probability of being inactive when other control variables are held constant at their averages. Moreover, refugees who are women, having a higher-level of education and Turkish language proficiency are found to have higher likelihood of being employed as a regular worker. We also observe that there are some cohort and province specific factors that affect both labor market activity and job status. We see that later cohorts and those living in Bursa are more advantageous. Among the border provinces, Gaziantep is found to have better prospects for the employment of refugees in regular jobs.
Suggested Citation
Aysegul Kayaoglu & Murat Erdogan, 2019.
"Labor Market Activities of Syrian Refugees in Turkey,"
Working Papers
1290, Economic Research Forum, revised 2019.
Handle:
RePEc:erg:wpaper:1290
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:erg:wpaper:1290. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Namees Nabeel (email available below). General contact details of provider: https://edirc.repec.org/data/erfaceg.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.