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Displaying 1 - 8 of 8 results
Heller, S., Pollack, H. A., Ander, R., & Ludwig, J. (2013). Preventing youth violence and dropout: A randomized field experiment (No. w19014). Cambridge, MA: National Bureau of Economic Research.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:Cook, P., Dodge, K., Farkas, G., Fryer, R., Guryan, J., Ludwig, J. Mayer, S., Pollack, H., & Steinberg, L. (2014). The (surprising) efficacy of academic and behavioral intervention with disadvantaged youth: Results from a randomized experiment in Chicago. Cambridge, MA: National Bureau of Economic Research.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:Fraker, T., Mamun, A., Manno, M., Martinez, J., Reed, D., Thompkins, A., & Wittenburg, D. (2012). The Social Security Administration’s Youth Transition Demonstration Projects: Interim report on West Virginia Youth Works. Princeton, NJ: Mathematica Policy Research.
Topic Area: Disability Employment Policy
Study Type: Causal Impact Analysis
Outcome Effectiveness:Fraker, T., Black, A., Broadus, J., Mamun, A., Manno, M., Martinez, J., McRoberts, R., Rangarajan, A., & Reed, D. (2011). The Social Security Administration’s Youth Transition Demonstration Projects: Interim report on the City University of New York’s project. Princeton, NJ: Mathematica Policy Research.
Topic Area: Disability Employment Policy
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Baum, C.L., & Ruhm, C.J. (2016). The effects of paid family leave in California on labor market outcomes. Journal of Policy Analysis and Management, (35)2, 333-356. https://doi.org/10.1002/pam.21894
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
Outcome Effectiveness: Farooq, A., & Kugler, A. D. (2015). What factors contributed to changes in employment during and after the great recession? IZA Journal of Labor Policy, 4(3), 1-28.
Topic Area: Veterans
Study Type: Causal Impact Analysis
Szelényi, K., & Inkelas, K. (2011). The role of living–learning programs in women’s plans to attend graduate school in STEM fields. Research in Higher Education, 52(4), 349-369.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Khan, S. (2005). Teaching strategies designed to change the undergraduate experience for college women learning chemistry. Journal of Women and Minorities in Science and Engineering 11, 365-387.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:
