• Media type: E-Book
  • Title: African Americans' Pursuit of Self-Employment
  • Contributor: Lofstrom, Magnus [VerfasserIn]; Bates, Timothy [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2021]
  • Published in: IZA Discussion Paper ; No. 3156
  • Extent: 1 Online-Ressource (40 p)
  • Language: English
  • DOI: 10.2139/ssrn.1033379
  • Identifier:
  • Keywords: self-employment ; entrepreneurship ; entry barriers ; African American
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 2007 erstellt
  • Description: This study examines causes of black/white gaps in business ownership and self-employment rates by analyzing small-business entry and exit patterns. We proceed by recognizing heterogeneity in business ownership across different industry groups: a classification of firms by human- and financial-capital intensiveness, or entry barriers, we find, is useful for explaining racial differences in entrepreneurship. The barriers facing aspiring entrepreneurs seeking entry into low-barrier industries differ substantially from those limiting entry into high-barrier industries. Higher entry and lower exit rates typifying whites, relative to African Americans, are traditionally interpreted as reflections of the greater financial- and human-capital resources possessed by non-minorities. This consensus view, however, is simplistic. While education background is a powerful predictor of self-employment patterns in the low-barrier industries, advanced educational credentials actually predict lower entry: college graduates are less likely to select into low-barrier small business ownership. In the high-barrier fields, in contrast, college-educated individuals are more likely than less educated persons to enter into self employment. Overall, black presence in high-barrier fields is held down by lower net asset holdings and weaker educational credentials of potential and actual entrepreneurs. In the low-barrier industries, where the majority of black-owned businesses operate, net worth levels and educational backgrounds are trumped by the racial characteristic: low black entry and high exit rates are powerfully predicted by one's race
  • Access State: Open Access