We exploit the sizeable and long Lifetime Labour Market Database (LLMDB) to estimate the immigrant-native
employment gap across gender, across continents of nationality and across lengths of stay in the UK between 1981 and
2006. These estimates are a novel contribution, as estimates for men and women are scarce in the literature and estimates across immigrants' origin and length of stay are as yet unavailable. Furthermore, we estimate the employment gap as the differential in the number of employed weeks in the year between immigrants and natives, which has not been done before – this contrasts with the employment probability gap differential usually estimated in the literature. We also
estimate the immigrant-native earnings gap across gender, across the entire earnings distribution, across continents of
nationality and across lengths of stay. Estimates across the earnings distribution are also a novel contribution, as these
are also as yet unavailable in the literature. Our main conclusion is that both the immigrant-native employment and
earnings gap vary across gender, continents of nationality and lengths of stay. Immigrant women earn more than native
women throughout the distribution. The earnings gap is positive throughout for females, smaller at the bottom, larger
at the top and relatively constant in the middle of the distribution. In contrast, it increases monotonically across the
distribution for males: it is negative at the bottom and positive at the top. Immigrants from Africa, Asia and the Middle
East, Central and South America and Eastern Europe, in the main, suffer a larger employment and earnings penalty,
which is reduced as their length of stay increases. In contrast, immigrants from North America have a more favourable
labour market experience.
History
Citation
Fiscal Studies, 2017
Author affiliation
/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/Department of Economics
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