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Related Studies

Displaying 71 - 80 of 83
523

Choe, C. (2008). The outcomes of policies designed to eliminate discrimination (Doctoral dissertation). University of Arizona.

  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Americans with Disabilities Act (ADA)

540

Miller, C. (2014). The persistent effect of temporary affirmative action (Unpublished job market paper). Cambridge, MA: MIT Department of Economics.

  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Executive Order 11246 (E.O. 11246)

2115
Miller, C. (2017). The persistent effect of temporary affirmative action. American Economic Journal: Applied Economics 9(3). 152-190. https://doi.org/10.1257/app.20160121
  • Topic Area: Employer Compliance

Study Type: Descriptive Analysis

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Affirmative action

1200

Engelhardt, G. V., & Kumar, A. (2009). The repeal of the retirement earnings test and the labor supply of older men. Journal of Pension Economics & Finance, 8(4), 429-450.

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Older workers' programs Other disparities or discrimination in employment and earnings

516

Hirsh, C. (2009). The strength of weak enforcement: The impact of discrimination charges, legal environments, and organizational conditions on workforce segregation. American Sociological Review, 74, 245-271.

  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Civil Rights Act of 1964 Equal Employment Opportunity Act of 1972

431

DeLeire, T. (2000). The unintended consequences of the Americans with Disabilities Act. Regulation 23(1), 21–24.

  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Americans with Disabilities Act (ADA)

464

Ampaw, F., & Jaeger, A. (2011). Understanding the factors affecting degree completion of doctoral women in the science and engineering fields. New Directions for Institutional Research, 152, 59-73.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Descriptive Analysis

Outcome Effectiveness:

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

432

Carrington, W.J., McCue, K., & Pierce, B. (2000). Using establishment size to measure the impact of Title VII and affirmative action. Journal of Human Resources, 35(3): 503-523.

  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

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

576

Riegle-Crumb, C., Moore, C., & Ramos-Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents’ future aspirations by gender and race/ethnicity. Science Education, 95(3), 458-476.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Descriptive Analysis

Outcome Effectiveness:

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

573

Kmec, J. (2013a). Why academic STEM mothers feel they have to work harder than others on the job. International Journal of Gender, Science, & Technology, 5(2), 80-101.

  • 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