Template-Type: ReDIF-Paper 1.0
Author-Name: Michel Beine
Author-Name-First: Michel
Author-Name-Last: Beine
Author-Name: Luisito Bertinelli
Author-Name-First: Luisito
Author-Name-Last: Bertinelli
Author-Name: Rana  Comertpay
Author-Name-First: Rana 
Author-Name-Last: Comertpay
Author-Name: Anastasia Litina
Author-Name-First: Anastasia
Author-Name-Last: Litina
Author-Name: Jean-Francois Maystadt
Author-Name-First: Jean-Francois
Author-Name-Last: Maystadt
Title: The Gravity Model of Forced Displacement Using Mobile Phone Data
Abstract: 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.
Creation-Date: 2020
File-URL: http://www.lancaster.ac.uk/media/lancaster-university/content-assets/documents/lums/economics/working-papers/LancasterWP2020_004.pdf
File-Format: application/pdf
Number: 293574571
Classification-JEL: J6, )15
Keywords: Refugee Mobility, Gravity Model of Migration, Forced Displacement, Mobile Phone Data, News Media, Poisson Pseudo-Maximum Likelihood
Handle: RePEc:lan:wpaper:293574571