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Identifying Syrian refugees in Turkish microdata

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  • Pinedo, Luis.

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.
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Suggested Citation

  • Pinedo, Luis., 2019. "Identifying Syrian refugees in Turkish microdata," ILO Working Papers 995043788002676, International Labour Organization.
    • Handle: RePEc:ilo:ilowps:995043788002676
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    References listed on IDEAS

    as
    1. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    2. AfDB AfDB, . "Annual Report 2012," Annual Report, African Development Bank, number 461.
    3. Del Carpio,Ximena Vanessa & Wagner,Mathis Christoph, 2015. "The impact of Syrian refugees on the Turkish labor market," Policy Research Working Paper Series 7402, The World Bank.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    refugee; Syrian; statistical analysis;
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