Summary information

Study title

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

Creator

Ochmann, N, University of Manchester

Study number / PID

856186 (UKDA)

10.5255/UKDA-SN-856186 (DOI)

Data access

Open

Series

Not available

Abstract

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.

Methodology

Data collection period

01/01/2009 - 01/01/2019

Country

United Kingdom

Time dimension

Not available

Analysis unit

Individual
Household
Time unit

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

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.

Funding information

Grant number

Unknown

Access

Publisher

UK Data Service

Publication year

2023

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

Not available