<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This article proposes a strategy to identify Syrian refugees in Turkey’s Household Labour Force Survey (HLFS). Even though Turkey’s HLFS contains information on the migrants’ year of arrival to Turkey, it does not provide details on their nationalities. This unfortunate feature mixes Syrian refugees with the standard flow of migration who arrived to Turkey during the Syrian war. I propose to eliminate the standard flow of migrants arrived between 2011 and 2017 by matching them (based on their characteristics) with the migrants arrived in the 2004–2010 period. This method obtains, indirectly, nonstandard migration, i.e., Syrian refugees. The results show that the age distribution of the nonstandard migrants identified matches the age distribution of Syrian refugees as officially released by the Turkish government. At last, I propose a post-stratification adjustment of the survey weights to find the actual geographical distribution of Syrian refugees in Turkey.</p></abstract>

This article proposes a strategy to identify Syrian refugees in Turkey’s Household Labour Force Survey (HLFS). Even though Turkey’s HLFS contains information on the migrants’ year of arrival to Turkey, it does not provide details on their nationalities. This unfortunate feature mixes Syrian refugees with the standard flow of migration who arrived to Turkey during the Syrian war. I propose to eliminate the standard flow of migrants arrived between 2011 and 2017 by matching them (based on their characteristics) with the migrants arrived in the 2004–2010 period. This method obtains, indirectly, nonstandard migration, i.e., Syrian refugees. The results show that the age distribution of the nonstandard migrants identified matches the age distribution of Syrian refugees as officially released by the Turkish government. At last, I propose a post-stratification adjustment of the survey weights to find the actual geographical distribution of Syrian refugees in Turkey.

Identifying Syrian refugees in Turkish microdata

IZA Journal of Development and Migration

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Identifying Syrian refugees in Turkish microdata"}

This article proposes a strategy to identify Syrian refugees in Turkey’s Household Labour Force Survey (HLFS). Even though Turkey’s HLFS contains information...

Identifying Syrian refugees in Turkish microdata

Publié en ligne: 02 oct. 2020

Pages: -

DOI: https://doi.org/10.2478/izajodm-2020-0017

Mots clés
Syrian refugees, Turkish microdata, identification strategy

© 2020 Luis Pinedo-Caro, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Identifying Syrian refugees in Turkish microdata

Publié en ligne: 02 oct. 2020

Pages: -

DOI: https://doi.org/10.2478/izajodm-2020-0017

Mots clésSyrian refugees, Turkish microdata, identification strategy

© 2020 Luis Pinedo-Caro, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Syrian refugees, Turkish microdata, identification strategy