Related Studies
Other > Disparities or Discrimination in Employment and Earnings
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Other > Disparities or Discrimination in Employment and Earnings
Topic Area: Disability Employment Policy
Study Type: Causal Impact Analysis
- Earnings and wages-Mod/high-No impactsEarnings and wages
- Employment-Mod/high-No impactsEmployment
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
- Employment-Low-Unfavorable impactsEmployment
Topic Area: Employer Compliance
Study Type: Descriptive Analysis
Myers, C. (2007). A cure for discrimination? Affirmative action and the case of California’s Proposition 209. Industrial and Labor Relations Review, 60(3), 379-396.
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
- Employment-Low-Unfavorable impactsEmployment
Topic Area: Disability Employment Policy
Study Type: Causal Impact Analysis
- Health and safety-Low-Favorable impactsHealth and safety
Institute for Women’s Policy Research. (2013). Accelerating change for women faculty of color in STEM: Policy, action, and collaboration. Washington, DC: Institute for Women’s Policy Research.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
- Earnings and wages-Low-No impactsEarnings and wages
Kurtulus, F. (2012). Affirmative action and the occupational advancement of minorities and women during 1973-2003. Industrial Relations, 52(2), 213-246.
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
- Employment-Mod/high-Favorable impactsEmployment
Colello, A. (2011). Affirmative action bans and minority employment: Washington State’s Initiative 200. Washington, DC: Georgetown University.
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
- Employment-Low-Unfavorable impactsEmployment
McIntyre, R., Paulson, R., & Lord, C. (2003). Alleviating women’s mathematics stereotype threat through salience of group achievements. Journal of Experimental Social Psychology, 39, 83-90.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains