EconPapers    
Economics at your fingertips  
 

Taking the Skill Bias out of Global Migration

Costanza Biavaschi (), Michał Burzyński (), Benjamin Elsner () and Joël Machado ()

No 2018-11, LISER Working Paper Series from LISER

Abstract: Global migration is heavily skill-biased, with tertiary-educated workers being four times more likely to migrate than workers with a lower education. In this paper, we quantify the global impact of this skill bias in migration. Based on a quantitative multi-country model with trade, we compare the current world to a counterfactual with the same number of migrants, where all migrants are neutrally selected from their countries of origin. We find that most receiving countries benefit from the skill bias in migration, while a small number of sending countries is significantly worse off. The negative effect in many sending countries is completely eliminated ? and often reversed ? once we account for remittances and additional migration-related externalities. In a model with all our extensions, the average welfare effect of skill-biased migration in both OECD and non-OECD countries is positive.

Keywords: migration; skill selection; global welfare; Skill bias; remittances; brain gain; brain drain (search for similar items in EconPapers)
JEL-codes: F22 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-int, nep-lab and nep-mig
Date: 2018-07
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.liser.lu/publi_viewer.cfm?tmp=4218 (application/pdf)

Related works:
Working Paper: Taking the Skill Bias out of Global Migration (2018) Downloads
Working Paper: Taking the Skill Bias out of Global Migration (2018) Downloads
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:irs:cepswp:2018-11

Access Statistics for this paper

More papers in LISER Working Paper Series from LISER 11, Porte des Sciences, L-4366 Esch-sur-Alzette, G.-D. Luxembourg. Contact information at EDIRC.
Bibliographic data for series maintained by Library and Documentation ().

 
Page updated 2019-10-14
Handle: RePEc:irs:cepswp:2018-11