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A gravity analysis of refugee mobility using mobile phone data
Journal of Development Economics ( IF 5.1 ) Pub Date : 2021-01-07 , DOI: 10.1016/j.jdeveco.2020.102618
Michel Beine , Luisito Bertinelli , Rana Cömertpay , Anastasia Litina , Jean-François Maystadt

The objective of this study consists in analyzing the determinants of the internal mobility of refugees in Turkey. We track down this mobility relying on geolocalized mobile phone calls data and bring these measures to a micro-founded gravity model in order to estimate the main drivers of refugee mobility across 26 regions in 2017. Our results show that the movements of refugees are sensitive to income differentials and contribute therefore to a more efficient allocation of labor across space. Comparing these findings with those of individuals with a non-refugee status, we find that refugees are more sensitive to variations of income at origin and to distance, while less responsive to changes in income at destination. These findings are robust to the way mobility is inferred from phone data and to the choice of the geographical unit of investigation. Further, we provide evidence against some alternative explanations of mobility such as the propensity to leave refugee camps, transit through Turkey, social magnet effects and sensitivity to agricultural business cycles.



中文翻译:

使用手机数据对难民流动性进行重力分析

这项研究的目的在于分析土耳其境内难民内部流动的决定因素。我们依靠地理定位的移动电话数据来跟踪这种流动性,并将这些度量值引入基于微观的重力模型中,以便估算2017年26个地区的难民流动性的主要驱动因素。我们的结果表明,难民的流动对收入差异,因此有助于在空间上更有效地分配劳动力。将这些发现与具有非难民身份的人的发现进行比较,我们发现难民对原籍和距离收入的变化更加敏感,而对原籍地收入变化的反应则较不敏感。这些发现对于从电话数据推断出移动性的方式以及对调查的地理单位的选择而言都是可靠的。此外,我们提供了反对流动性的另类解释的证据,例如,逃离难民营的倾向,穿越土耳其的过境,社会吸引力以及对农业商业周期的敏感性。

更新日期:2021-01-20
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