The Gravity Model of Forced Displacement Using Mobile Phone Data

Michel Beine, Luisito Bertinelli, Rana Cömertpay, Anastasia Litina () and Jean-François Maystadt

DEM Discussion Paper Series from Department of Economics at the University of Luxembourg

Abstract: (To consult this DP, please send an e-mail to dem@uni.lu) Based on geolocalized mobile phone calls data, we study the mobility of refugees in Turkey. We employ a gravity model to estimate the determinants of refugee movements across 26 regions in 2017. To benchmark our findings, we estimate the same model for the mobility of individuals with a non-refugee status. Beyond the standard determinants such as the levels of income at origin, at destination and distances across regions, we find that networks, provision of humanitarian aid and asylum grants are important determinants of refugee mobility. Our paper deepens our understanding on how forcibly displaced people may respond to economic, social and political factors in their location decision.

Keywords: Refugee Mobility; Gravity Model of Migration; Forced Displacement; Mobile Phone Data; News Media; Poisson Pseudo-Maximum Likelihood (search for similar items in EconPapers)
JEL-codes: J6 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-pay and nep-ure
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Working Paper: The Gravity Model of Forced Displacement Using Mobile Phone Data (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:luc:wpaper:20-13

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