Economics at your fingertips  

Educational attainment, corruption, and migration: An empirical analysis from a gravity model

Imran Arif

Economic Modelling, 2022, vol. 110, issue C

Abstract: Previous research shows that migrants generally select countries with relatively low levels of corruption. This study explores the interaction between the corruption level of origin and destination countries and migrants’ level of education. Using a panel dataset from 1990 to 2000 and a modified gravity model, we estimate the effect of education level on global migration decisions. Consistent with other studies, we confirm that countries with low levels of corruption attract more migrants. We add to this finding by showing that migrants with higher levels of education are more sensitive to corruption levels at destination countries. In particular, migrants with higher levels of education are more likely to choose less corrupt countries. Our findings enhance our understanding of factors influencing human capital mobility across borders.

Keywords: Migration; Human capital; Corruption; Gravity model; PPML (search for similar items in EconPapers)
JEL-codes: D73 D78 F22 H11 H26 O15 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

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:

DOI: 10.1016/j.econmod.2022.105802

Access Statistics for this article

Economic Modelling is currently edited by S. Hall and P. Pauly

More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2022-10-01
Handle: RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000487