Over-Education and Immigrant Earnings: A Penalized Quantile Panel Regression Analysis
Sholeh Maani () and
Le Wen ()
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Le Wen: University of Auckland
No 14088, IZA Discussion Papers from Institute of Labor Economics (IZA)
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 percent 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 percent, respectively, from years of over-education. We discuss the policy implications of this new result.
Keywords: penalized panel quantile regression; over-education; immigrants; overseas qualifications; language proficiency (search for similar items in EconPapers)
JEL-codes: C23 I21 J24 J31 (search for similar items in EconPapers)
Pages: 30 pages
New Economics Papers: this item is included in nep-int, nep-lma and nep-mig
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Journal Article: Over-education and immigrant earnings: a penalized quantile panel regression analysis (2021)
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