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Related Studies

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1199

Armour, P., & Lovenheim, M. F. (2016). The effect of Social Security information on the labor supply and savings of older Americans. (Working paper no. 361). Ann Arbor, MI: University of Michigan, Michigan Retirement Research Center.

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

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

337

Bakian, A.V., & Sullivan, K.A. (2010). The Effectiveness of Institutional Intervention on Minimizing Demographic Inertia and Improving the Representation of Women Faculty in Higher Education. International Journal of Gender, Science and Technology, 2(2), 207-234.

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

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

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

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

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

629

Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Washington, D.C.: American Association of University Women.

  • 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

639

Beede, D., Julian, T., Langdon, D., McKittrick, G., Khan, B., & Doms, M. (2011). Women in STEM: A gender gap to innovation. Washington, DC: Economics and Statistics Administration, U.S. Department of Commerce.

  • 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