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Over-education and immigrant earnings: a penalized quantile panel regression analysis.
- Source :
- Applied Economics; May2021, Vol. 53 Issue 24, p2771-2790, 20p, 8 Charts, 2 Graphs
- Publication Year :
- 2021
-
Abstract
- Despite evidence that immigrants experience a higher incidence of over-education, relatively few studies have considered the labour market outcomes of over-education for immigrants. Using longitudinal data and penalized quantile panel regression, we inspect the earnings effects of job mismatches for immigrants in Australia. This first application of the method to this question addresses both individual and distributional heterogeneity. Results confirm divergent effects across the earnings distribution. Immigrants from non-English speaking countries experience lower earnings returns and a substantial earnings penalty of up to 25% from educational mismatched employment. However, in contrast to conventional findings of a penalty based on regression at the mean, at the highest earnings quantile, both Australian-born and immigrants from non-English speaking countries with a host country qualification receive earnings premiums of 2.7 and 11%, respectively, from years of over-education. We discuss the policy implications of this new result. [ABSTRACT FROM AUTHOR]
- Subjects :
- QUANTILE regression
PANEL analysis
REGRESSION analysis
CORPORATE profits
IMMIGRANTS
Subjects
Details
- Language :
- English
- ISSN :
- 00036846
- Volume :
- 53
- Issue :
- 24
- Database :
- Complementary Index
- Journal :
- Applied Economics
- Publication Type :
- Academic Journal
- Accession number :
- 149940766
- Full Text :
- https://doi.org/10.1080/00036846.2020.1869169