Arbeitspapier

Can Information and Alternatives to Irregular Migration Reduce "Backway" Migration from The Gambia?

Irregular migration from West Africa to Europe across the Sahara and Mediterranean is extremely risky for migrants and a key policy concern. A cluster-randomized experiment with 3,641 young men from 391 settlements in The Gambia is used to test three approaches to reducing risky migration: providing better information and testimonials about the risks of the journey, facilitating migration to a safer destination by providing information and assistance for migration to Dakar, and offering vocational skill training to enhance domestic employment opportunities. Current migration to Senegal was increased by both the Dakar facilitation and vocational training treatments, partially crowding out internal migration. The vocational training treatment reduced intentions to migrate the backway and the number of steps taken toward moving. However, the backway migration rate from The Gambia collapsed, even in the control group, resulting in no space for a treatment effect on irregular migration from any of the three interventions.

Sprache
Englisch

Erschienen in
Series: CReAM Discussion Paper Series ; No. 19/22

Klassifikation
Wirtschaft
Economic Development: Human Resources; Human Development; Income Distribution; Migration
International Migration
Geographic Labor Mobility; Immigrant Workers
Thema
Irregular migration
migration deterrence
information interventions
vocational training
cash transfer
randomized experiment

Ereignis
Geistige Schöpfung
(wer)
Bah, Tijan
Batista, Catia
Gubert, Flore
McKenzie, David
Ereignis
Veröffentlichung
(wer)
Centre for Research & Analysis of Migration (CReAM), Department of Economics, University College London
(wo)
London
(wann)
2022

Letzte Aktualisierung
20.09.2024, 08:21 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bah, Tijan
  • Batista, Catia
  • Gubert, Flore
  • McKenzie, David
  • Centre for Research & Analysis of Migration (CReAM), Department of Economics, University College London

Entstanden

  • 2022

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