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Ethnicity, Gender and Household Effects on Becoming NEET: An Intersectional Analysis

Author

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  • Carolina V Zuccotti

    (European University Institute, Italy)

  • Jacqueline O’Reilly

    (University of Sussex, UK)

Abstract

Surprisingly little attention has been given to an integrated understanding of the interaction between ethnicity, gender and parental household’s employment status affecting young people’s educational and labour market outcomes. Drawing on data from Understanding Society, the article compares youth probabilities of becoming NEET (not in employment, education or training) in the UK, focusing on the outcomes for young men and women from different ethnic groups and from four types of ‘households of origin’: workless, one-earner, single-parent-earner and two-earner. The article shows that while, on average, young people with workless parents have a higher likelihood of becoming NEET compared to individuals from households with at least one employed parent, this does not apply universally to all ethnic minority groups, nor equally to young men and women. Having workless parents is much less detrimental for second-generation Indian and African men, and for second-generation Bangladeshi men and women, than for white British individuals. An intersectional analysis illustrates the universal and differentiated effects of disadvantage among youth.

Suggested Citation

  • Carolina V Zuccotti & Jacqueline O’Reilly, 2019. "Ethnicity, Gender and Household Effects on Becoming NEET: An Intersectional Analysis," Work, Employment & Society, British Sociological Association, vol. 33(3), pages 351-373, June.
    • Handle: RePEc:sae:woemps:v:33:y:2019:i:3:p:351-373
    DOI: 10.1177/0950017017738945
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    References listed on IDEAS

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    2. Clio Berry & Julia Fountain & Lindsay Forbes & Leanne Bogen-Johnston & Abigail Thomson & Yelena Zylko & Alice Tunks & Sarah Hotham & Daniel Michelson, 2024. "Developing a hope-focused intervention to prevent mental health problems and improve social outcomes for young women who are not in education, employment, or training (NEET): A qualitative co-design study in deprived coastal communities in South-East," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-37, May.
    3. Levent Şahin & Halis Yunus Ersöz & İbrahim Demir & Muhammed Erkam Kocakaya & Osman Akgül & Abdullah Miraç Bükey, 2023. "The Relationship between Cause and Effect Dimensions of Young People’s Being “Not in Education, Employment, or Training (NEET)” in Turkey," Sustainability, MDPI, vol. 15(21), pages 1-19, October.
    4. Cristiano Felaco & Anna Parola, 2022. "Subjective Well-Being and Future Orientation of NEETs: Evidence from the Italian Sample of the European Social Survey," Social Sciences, MDPI, vol. 11(10), pages 1-13, October.
    5. Gascoigne, Connor & Jeffery, Annie & Shao, Zejing & Geneletti, Sara & Kirkbride, James B. & Baio, Gianluca & Blangiardo, Marta, 2024. "A Bayesian interrupted time series framework for evaluating policy change on mental well-being: an application to England's welfare reform," LSE Research Online Documents on Economics 125699, London School of Economics and Political Science, LSE Library.

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