1 / 14

Ethnicity and occupational mobility Trends since the 1970s

Ethnicity and occupational mobility Trends since the 1970s. James Nazroo Sociology and Cathie Marsh Centre School of Social Sciences james.nazroo@manchester.ac.uk. Key issues. Marked ethnic inequalities in socioeconomic position.

Download Presentation

Ethnicity and occupational mobility Trends since the 1970s

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Ethnicity and occupational mobilityTrends since the 1970s James Nazroo Sociology and Cathie Marsh Centre School of Social Sciences james.nazroo@manchester.ac.uk

  2. Key issues • Marked ethnic inequalities in socioeconomic position. • But pattern has varied over time, with evidence of improvements for some, but not all, groups. • The importance of education (for mobility): • The possibility that ethnic differences in orientation to education (cultural capital?) have led to different patterns of class mobility. • The likelihood that success in education relates to others’ perception of ethnic categories – the ways in which we are racialised (or not). • Evidence that for a given level of education ethnicity remains important, other ‘hazards’ associated with ethnicity play a role. • The role of ‘structural’ processes leading to ethnic disadvantage (indirectly observed by identifying the extent of an ‘ethnic penalty’): • Class origin; • Access to education; • Institutional and interpersonal discrimination.

  3. A brief summary of methods • A focus on inter- and intra-generational mobility. • Class, education (and income inequalities), comparing unrelated first and second generations (using the Health Survey for England). • Intra-generational mobility in occupational class and employment across periods (using the Longitudinal Study (LS)). • And differences across cohorts (inter-generational) (using the LS). • The role of education (Lucinda Platt’s work using the LS). • Mainly examining relative rates (to white British/English group) that do not directly address changes in occupational structures. • A complex picture: • Varying ethnic/religious groups included in the analysis (data restrictions and focussing on key issues). • But try to keep some attention on important detail. • Summary of important gender differences.

  4. Class mobility, unrelated generations Smith, Kelly and Nazroo, 2009

  5. Educational mobility, unrelated generations Smith, Kelly and Nazroo, 2009

  6. Period and cohort effects: odds of manual occupational class compared with white British Men Karlsen, Nazroo and Smith, 2012

  7. Period and cohort effects: odds for being unemployed compared with white British Men Karlsen, Nazroo and Smith, 2012

  8. Odds of moving from manual to non-manual occupational class compared with white British Men Karlsen, Nazroo and Smith, 2012

  9. Odds of moving from non-manual to manual occupational class compared with white British Men Karlsen, Nazroo and Smith, 2012

  10. Short note on gender • The period and cohort patterns for Irish, Black Caribbean, Indian Hindu, Indian Sikh and Chinese women, relative to white women, are similar to those for men. • For the Muslim groups trends across periods and cohorts relative to white women were similar to those for men, however levels were different. • Muslim women were not as over-represented in manual occupations as Muslim men were (relative to their white counterparts); • Muslim women were much more likely to be unemployed compared with Muslim men (relative to their white counterparts). • For mobility modelled at an individual level: • Women were less likely to move to non-manual occupations than men (relative to their white counterparts) for all of the ethnic minority groups. • But there were no differences for the move to manual occupations.

  11. Odds of professional/managerial class destination compared with white non-migrants Children in 1971 or 1981 Adapted from Platt, 2007

  12. Conclusions • A varied picture, over time, across ethnic groups, and men and women, only partly simplified by presenting a subset of the data: the processes and patterns are complex. • Different ‘starting’ profiles for different groups (for example, Indian Hindu, Pakistani and Caribbean). • But different patterns and rates of change not all driven by starting points. • A general disadvantage for Muslim, Caribbean and Indian Sikh people. • Relative advantage for Indian Hindu, Chinese and Irish people. • Improvements (on the whole) in the extent of disadvantage over time and across generations. • But the pattern for unemployment is much more negative than that for class mobility. • Footnote – biases are likely to be introduced by under-enumeration of some sub-groups

  13. Possible explanations • The context of migration and evolution of contexts (region, occupational structures, economy, education, processes of racialisation) is important. • Reassertion of class background? • Education important for all groups (studied), but not sufficient to offset the large ethnic penalty of Pakistani and, probably, Bangladeshi people. • Suggestions of the importance of period – economic downturns and changing patterns of racialisation. • Institutional and interpersonal discrimination; ethnic penalty. • The importance of geography: deprivation, schooling, and concentration in particular industries and occupations. • The likely importance of access to, and type of, further education. • Social networks and connections. • Gender and ethnic differences and participation in the labour market.

  14. Acknowledgement The permission of the Office for National Statistics to use the Longitudinal Study is gratefully acknowledged, as is the help provided by staff of the Centre for Longitudinal Study Information & User Support (CeLSIUS). CeLSIUS is supported by the ESRC Census of Population Programme (Award Ref: RES-348-25-0004).

More Related