Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1548
Title: A gravity analysis of refugee mobility using mobile phone data
Authors: Beine, Michel
Bertinelli, Luisito
Cömertpay, Rana
Litina, Anastasia
Maystadt, Jean-François
Type: Article
Subjects: FRASCATI::Social sciences::Economics and Business::Economics
Keywords: Refugee Mobility
Issue Date: May-2021
Publisher: Elsevier
Source: Journal of Development Economics
Volume: 150
First Page: 102618
Abstract: 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.
URI: https://doi.org/10.1016/j.jdeveco.2020.102618
https://ruomo.lib.uom.gr/handle/7000/1548
ISSN: 0304-3878
Other Identifiers: 10.1016/j.jdeveco.2020.102618
Appears in Collections:Department of Economics

Files in This Item:
File Description SizeFormat 
JDE-Resubmission_30092020.pdf
  Until 2024-05-01
1,48 MBAdobe PDFView/Open Request a copy


This item is licensed under a Creative Commons License Creative Commons