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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
Brown, J. R., Kapteyn, A., & Mitchell, O. S. (2016). Framing and claiming: How information-framing affects expected social security claiming behavior. Journal of Risk and Insurance, 83(1), 139-162.
Topic Area: Behavioral Finance: Retirement
Topic Area: Behavioral Insights
Study Type: Causal Impact Analysis
- Public benefits receipt-Low-Favorable impactsPublic benefit receipt
Topic Area: Employer Compliance
Study Type: Descriptive Analysis
Topic Area: Financial Literacy
Study Type: Causal Impact Analysis
- Knowledge and skills for money management-Mod/high-Mixed impactsKnowledge and skills for money management
Topic Area: Financial Literacy
Study Type: Causal Impact Analysis
- Knowledge and skills for financial decision making-Low-Favorable impactsKnowledge and skills for financial decision making
- Knowledge and skills for money management-Low-No impactsKnowledge and skills for money management
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
Topic Area: Financial Literacy
Study Type: Causal Impact Analysis
- Knowledge and skills for financial decision making-Mod/High-Favorable impactsKnowledge and skills for financial decision making
- Knowledge and skills for money management-Mod/High-Favorable impactsKnowledge and skills for money management
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