IDEAS home Printed from https://ideas.repec.org/p/osf/thesis/4sn6k_v1.html
   My bibliography  Save this paper

Black Population Size and the Structure of United States Labor Market Inequality

Author

Listed:
  • Cohen, Philip N.

    (University of Maryland, College Park)

Abstract

This dissertation investigates the relationship between relative Black population size and the structure of labor market inequality by race-ethnicity, gender and class. There are five principal new developments here. First, Black-White inequality for women -- as well as gender inequality -- is integrated into the research. Second, by examining three major labor market outcomes -- employment status, occupational attainment, and earnings -- the project offers a more systematic view of the relationships under study. This has important implications for better understanding possible causal mechanisms of racial-ethnic composition. Third, existing threat and crowding hypotheses are tested with new models using measures of residential and occupational segregation. Fourth, tests of class interactions are offered, casting new light on continuing debates about the relative costs and benefits of Black-White inequality across class and gender lines. Finally, estimation of contextual effects in all models is improved with hierarchical modeling techniques. Larger relative Black population size means more "race" in the local economy, and more "racial" inequality. This project asks the question: is more "race" good or bad for White and Black men and women at the individual level; whom does Black-White inequality help or hurt, and in what ways? I conclude that when the Black population is larger, Black-White inequality is more salient, and more important relative to class and gender inequality. A consistent set of models shows this pattern across labor market outcomes, and across gender and class groups -- as well as across variation in individual-level characteristics besides racial-ethnicity. Thus Black-White inequality again appears not only pervasive but also structural to the system of social stratification in the United States.

Suggested Citation

  • Cohen, Philip N., 1999. "Black Population Size and the Structure of United States Labor Market Inequality," Thesis Commons 4sn6k_v1, Center for Open Science.
  • Handle: RePEc:osf:thesis:4sn6k_v1
    DOI: 10.31219/osf.io/4sn6k_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/599992d3594d90025952476d/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/4sn6k_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
    ---><---

    More about this item

    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:thesis:4sn6k_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.

    We have no bibliographic references for this item. You can help adding them by using 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://thesiscommons.org .

    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.