Refugee Mobility: Evidence from Phone Data in Turkey.

Michel Beine, Luisito Bertinelli, Rana Cömertpay, Anastasia Litina, Jean-François Maystadt, Benteng Zou

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Our research report employs the D4R data and combines it with several other sources to study one of the multiple aspects of integration of refugees, namely the mobility of refugees across provinces in Turkey. In particular, we employ a standard gravity model to empirically estimate a series of determinants of refugee movements. These include the standard determinants such as province characteristics, distances across provinces, levels of income, network effects as well as some refugee-specific determinants such as the presence of refugee camps and the intensity of phone call interaction among refugees. Importantly, we explore the effect of certain categories of news events, notably protests, violence, and asylum grants. Considering news as an indicator of policy implemented at the provincial level, we gain a better understanding as to how policy can facilitate refugee mobility and thus enhance integration. To benchmark our findings, we estimate the same model for the mobility of individuals with a non-refugee status.
Original languageEnglish
Title of host publicationGuide to Mobile Data Analytics in Refugee Scenarios
Subtitle of host publicationThe 'Data for Refugees Challenge' Study
EditorsAlbert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé
Place of PublicationCham
PublisherSpringer
Pages433-449
ISBN (Electronic)978-3-030-12554-7
ISBN (Print)978-3-030-12553-0
DOIs
Publication statusPublished - 7 Sept 2019
Externally publishedYes

Keywords

  • Social Integration
  • Refugee Mobility
  • Gravity Model of Migration
  • PoissonPseudo-Maximum Likelihood

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