IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/834ad_v1.html
   My bibliography  Save this paper

The effects of urban enclaves on the labour market outcomes of foreign-born migrants and ethnic minorities in the England

Author

Listed:
  • Mahony, Michael
  • Rowe, Francisco

    (University of Liverpool)

Abstract

The ways in which enclaves affect residents labour market outcomes are not fully understood, with outcomes varying substantially across countries, migrant and ethnic groups. In this study, we examine how co-national and co-ethnic enclaves influence migrants’ and ethnic minorities’ labour market outcomes within England. We account for residential sorting through a computational causal modelling framework. Our analysis reveals three key findings. First, migrants and ethnic minorities with poor human capital were disproportionately found in neighbourhoods with high co-ethnic and co-national concentration. This suggests residential sorting occurs in UK enclaves. Second, co-national enclaves were associated with higher employment probabilities (but not higher incomes) amongst male migrants, and neutral to negative employment probabilities and incomes amongst female migrants. Third, co-ethnic enclaves were generally not associated with higher employment probabilities or income, suggesting UK co-ethnic networks do not help most minority ethnic groups to find work. To our knowledge, this study represents the first evidence of positive co-national employment effects within the UK context. These findings could inform policy by highlighting groups whose employment rates are negatively affected by enclaves. These include female migrants and women of Indian, Pakistani and Bangladeshi ethnicity.

Suggested Citation

  • Mahony, Michael & Rowe, Francisco, 2025. "The effects of urban enclaves on the labour market outcomes of foreign-born migrants and ethnic minorities in the England," OSF Preprints 834ad_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:834ad_v1
    DOI: 10.31219/osf.io/834ad_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/67e1042899b0de7b6ff3276d/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/834ad_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:eme:rlec11:s0147-9121(2009)0000029009 is not listed on IDEAS
    2. Martin Kahanec & Mariapia Mendola, 2009. "Social determinants of labor market status of ethnic minorities in Britain," Research in Labor Economics, in: Ethnicity and Labor Market Outcomes, pages 167-195, Emerald Group Publishing Limited.
    3. Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
    4. repec:sae:mrxval:v:53:y:2019:i:3:p:671-705 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    2. Görg Holger & Marchal Léa, 2019. "Die Effekte deutscher Direktinvestitionen im Empfängerland vor dem Hintergrund des Leistungsbilanzüberschusses: Empirische Evidenz mit Mikrodaten für Frankreich," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 20(1), pages 53-69, June.
    3. Léa Marchal & Clément Nedoncelle, 2019. "Immigrants, occupations and firm export performance," Review of International Economics, Wiley Blackwell, vol. 27(5), pages 1480-1509, November.
    4. Hisaki Kono & Yasuyuki Sawada & Abu S. Shonchoy, 2016. "DVD-based Distance-learning Program for University Entrance Exams: Experimental Evidence from Rural Bangladesh," CIRJE F-Series CIRJE-F-1027, CIRJE, Faculty of Economics, University of Tokyo.
    5. Paul Frédéric Blanche & Anders Holt & Thomas Scheike, 2023. "On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(2), pages 441-482, April.
    6. Ignaciuk, Ada & Malevolti, Giulia & Scognamillo, Antonio & Sitko, Nicholas J., 2022. "Can food aid relax farmers’ constraints to adopting climate-adaptive agricultural practices? Evidence from Ethiopia, Malawi and the United Republic of Tanzania," ESA Working Papers 324073, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    7. Everding, Jakob & Marcus, Jan, 2020. "The effect of unemployment on the smoking behavior of couples," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(2), pages 154-170.
    8. Li Liang & Greene Tom, 2013. "A Weighting Analogue to Pair Matching in Propensity Score Analysis," The International Journal of Biostatistics, De Gruyter, vol. 9(2), pages 215-234, July.
    9. McFarland, Michael J. & Geller, Amanda & McFarland, Cheryl, 2019. "Police contact and health among urban adolescents: The role of perceived injustice," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    10. Fan Li & Ashley L. Buchanan & Stephen R. Cole, 2022. "Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 669-697, June.
    11. Antonelli Joseph & Cefalu Matthew, 2020. "Averaging causal estimators in high dimensions," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 92-107, January.
    12. Yukun Ma & Pedro H. C. Sant'Anna & Yuya Sasaki & Takuya Ura, 2023. "Doubly Robust Estimators with Weak Overlap," Papers 2304.08974, arXiv.org, revised Apr 2023.
    13. Delprato, Marcos & Akyeampong, Kwame, 2019. "The effect of working on students’ learning in Latin America: Evidence from the learning survey TERCE," International Journal of Educational Development, Elsevier, vol. 70(C), pages 1-1.
    14. Iván Díaz & Elizabeth Colantuoni & Daniel F. Hanley & Michael Rosenblum, 2019. "Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(3), pages 439-468, July.
    15. Xiaogang Duan & Guosheng Yin, 2017. "Ensemble Approaches to Estimating the Population Mean with Missing Response," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(4), pages 899-917, December.
    16. Elder, Todd & Jepsen, Christopher, 2014. "Are Catholic primary schools more effective than public primary schools?," Journal of Urban Economics, Elsevier, vol. 80(C), pages 28-38.
    17. Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests," Papers 2110.03031, arXiv.org, revised Jun 2022.
    18. Decker, Simon & Schmitz, Hendrik, 2016. "Health shocks and risk aversion," Journal of Health Economics, Elsevier, vol. 50(C), pages 156-170.
    19. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    20. Fossen, Frank & Simmler, Martin, 2012. "Differential taxation and firms' financial leverage: Evidence from the introduction of a flat tax on interest income," Discussion Papers 2012/4, Free University Berlin, School of Business & Economics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:834ad_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.