Wages of UK Immigrant Men Across Generations: Who Catches Up, Understanding Society Derivation Code, 2009-2019

DOI

This paper that supplements the code available in this collection examines UK immigrant-native wage differentials for men across major first- and second-generation immigrant groups with the UK Household Longitudinal Study (UKHLS) pooling cross-sections over the years 2009–2019. I find that first-generation immigrants with UK human capital experience less of a wage disadvantage than their immigrant counterparts with foreign language proficiency, qualifications, and work experience. Conditional on the heterogeneity in these productivity characteristics of first-generation immigrants, I observe no intergenerational economic progress across the two generations relative to UK natives. Using a conditional decomposition shows that UK work experience and not the source country of study for the qualification is a key factor in reducing first-generation, immigrant-native wage differentials in the UK.Current literature reports large first-generation immigrant-native wage differentials in the UK. The aim of this research is to show that some if by no means all of the wage differentials can be explained by human capital factors, i.e., by the source of qualification, work experience, and language.

Multi-stage stratified random sample, households and their individual members resident in the United Kingdom. Original data collected via telephone interview, web-based interview, face-to-face interview, self-administered questionnaire.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-856186
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=a096fc6b5aee793936f4e9d16a2f64711834577529560037e8e4d691e4d2b4e7
Provenance
Creator Ochmann, N, University of Manchester
Publisher UK Data Service
Publication Year 2023
Funding Reference Economic and Social Research Council; Economics Department at the University of Manchester
Rights Nico Ochmann, University of Manchester; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Local Authority Districts; United Kingdom