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Related Studies

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2296
Ferguson, K. M. (2018). Employment outcomes from a randomized controlled trial of two employment interventions with homeless youth. Journal of the Society for Social Work and Research, 9(1), 1-21. https://doi.org/10.1086/696372
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Individuals facing barriers to employment

2123
Hirsh, E., & Cha, Y. (2018). For law and markets: Employment discrimination lawsuits, market performance, and managerial diversity. American Journal of Sociology, 123(4), 1117-1160. https://doi.org/10.1086/694887 [Lawsuit resolutions]
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

2137
Cates, S.V., (2021). Has religious discrimination been eradicated from the work environment or has it merely taken on another form? Journal of Business Diversity, 21(2), 47-59. https://doi.org/10.33423/jbd.v21i2.4318
  • Topic Area: Employer Compliance

Study Type: Descriptive Analysis

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Civil Rights Act of 1964

539

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

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Affirmative action

2297
Fetsch, R.J. & Turk, P. (2018). A quantitative assessment of the effectiveness of USDA's AgrAbility project. Disability and Health Journal, 11(2), 249-255. https://doi.org/10.1016/j.dhjo.2017.10.004
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Individuals facing barriers to employment

628

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

Outcome Effectiveness:

Science, Technology, Engineering, and Math (STEM) programs Other disparities or discrimination in employment and earnings

2141
Castilla, E. J. (2015). Accounting for the gap: A firm study manipulating organizational accountability and transparency in pay decisions. Organization Science, 26(2), 311–333. https://psycnet.apa.org/doi/10.1287/orsc.2014.0950
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

499

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

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Affirmative action Executive Order 11246 (E.O. 11246) Civil Rights Act of 1964

436

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

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Affirmative action

428

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

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Preventing discrimination Science, Technology, Engineering, and Math (STEM) programs Youth programs