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The Gravity Model of Forced Displacement Using Mobile Phone Data

Research output: Working paper

Published

Standard

The Gravity Model of Forced Displacement Using Mobile Phone Data. / Beine, Michel; Bertinelli, Luisito; Comertpay, Rana et al.
Lancaster: Lancaster University, Department of Economics, 2020. (Economics Working Papers Series).

Research output: Working paper

Harvard

Beine, M, Bertinelli, L, Comertpay, R, Litina, A & Maystadt, J-F 2020 'The Gravity Model of Forced Displacement Using Mobile Phone Data' Economics Working Papers Series, Lancaster University, Department of Economics, Lancaster.

APA

Beine, M., Bertinelli, L., Comertpay, R., Litina, A., & Maystadt, J.-F. (2020). The Gravity Model of Forced Displacement Using Mobile Phone Data. (Economics Working Papers Series). Lancaster University, Department of Economics.

Vancouver

Beine M, Bertinelli L, Comertpay R, Litina A, Maystadt JF. The Gravity Model of Forced Displacement Using Mobile Phone Data. Lancaster: Lancaster University, Department of Economics. 2020 Mar 31. (Economics Working Papers Series).

Author

Beine, Michel ; Bertinelli, Luisito ; Comertpay, Rana et al. / The Gravity Model of Forced Displacement Using Mobile Phone Data. Lancaster : Lancaster University, Department of Economics, 2020. (Economics Working Papers Series).

Bibtex

@techreport{9929bcac33fc42f7a98ae57a4f7d945d,
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.",
keywords = "Refugee Mobility, Gravity Model of Migration, Forced Displacement, Mobile Phone Data, News Media, Poisson Pseudo-Maximum Likelihood",
author = "Michel Beine and Luisito Bertinelli and Rana Comertpay and Anastasia Litina and Jean-Francois Maystadt",
year = "2020",
month = mar,
day = "31",
language = "English",
series = "Economics Working Papers Series",
publisher = "Lancaster University, Department of Economics",
type = "WorkingPaper",
institution = "Lancaster University, Department of Economics",

}

RIS

TY - UNPB

T1 - The Gravity Model of Forced Displacement Using Mobile Phone Data

AU - Beine, Michel

AU - Bertinelli, Luisito

AU - Comertpay, Rana

AU - Litina, Anastasia

AU - Maystadt, Jean-Francois

PY - 2020/3/31

Y1 - 2020/3/31

N2 - 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.

AB - 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.

KW - Refugee Mobility

KW - Gravity Model of Migration

KW - Forced Displacement

KW - Mobile Phone Data

KW - News Media

KW - Poisson Pseudo-Maximum Likelihood

M3 - Working paper

T3 - Economics Working Papers Series

BT - The Gravity Model of Forced Displacement Using Mobile Phone Data

PB - Lancaster University, Department of Economics

CY - Lancaster

ER -