Migrants as Social Protection? Simulations of a Market for Work Permits
Quy-Toan Do,
Michael Lokshin and
Martin Ravallion
The World Bank Economic Review, 2025, vol. 39, issue 4, 893-906
Abstract:
Workershave the right to take up any job offer in their country of citizenship but not to rent out that right. This paper shows that relaxing this restriction using a two-sided competitive market in work permits can provide a basic income guarantee for workers in migration-destination countries, financed by selling temporary work permits to migrant workers. Regulating the market by imposing a tax on work permits narrows the set of beneficiaries, the income of which can further be complemented with the revenues from such tax. Substantial gains in the destination countries’ gross domestic product can be expected, alongside the first-order gains to migrant workers who would not otherwise have access to the labor markets in destination countries. The paper provides a quantitative illustration by simulating a fictitious market for work permits between Mexico and the United States.
Keywords: work permits; migration; social protection; targeting; poverty (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1093/wber/lhaf032 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:wbecrv:v:39:y:2025:i:4:p:893-906.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
The World Bank Economic Review is currently edited by Eric Edmonds and Nina Pavcnik
More articles in The World Bank Economic Review from World Bank Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().