Related Studies
Employment and Training Services > Employment and Reemployment
Displaying 81 - 90 of 675
Employment and Training Services > Employment and Reemployment
Smith, C. J., Bechtel, J., Patrick, A., Smith, R. R., & Wilson-Gentry, L. (2006). Correctional industries preparing inmates for re-entry: Recidivism & post-release employment. (Report No. 214608). Washington, DC: U.S. Department of Justice. [Comparison between PIECP and traditional prison industries employment]
Topic Area: Reentry
Study Type: Causal Impact Analysis
Smith, C. J., Bechtel, J., Patrick, A., Smith, R. R., & Wilson-Gentry, L. (2006). Correctional industries preparing inmates for re-entry: Recidivism & post-release employment. (Report No. 214608). Washington, DC: U.S. Department of Justice. [Comparison between PIECP and other-than-work activities]
Topic Area: Reentry
Study Type: Causal Impact Analysis
O’Leary, C.J., Decker, P.T., Wandner, S.A. (2005). Cost-effectiveness of targeted reemployment bonuses. Journal of Human Resources, 40, 270-279.
Topic Area: Reemployment
Study Type: Causal Impact Analysis
Neumark, D., & Button, P. (2014). Did age discrimination protections help older workers weather the Great Recession? Journal of Policy Analysis and Management, 33(4), 566-601. doi:10.1002/pam.21762
Topic Area: Older Workers
Study Type: Causal Impact Analysis
Muller, L. Scott. (1992). Disability beneficiaries who work and their experience under program work incentives. Social Security Bulletin, 55(2), 2–42.
Topic Area: Disability Employment Policy
Study Type: Descriptive Analysis
Monaco, P., & Morse, A. (2014). Distinctive and unique outreach programs: Promoting academic excellence and diversity. Proceedings of the 2014 American Society for Engineering Education Annual Conference & Exposition. Washington, DC: American Society for Engineering Education.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Cheryan, S., Siy, J., Vichayapai, M., Drury, B. & Kim, S. (2011). Do female and male role models who embody STEM stereotypes hinder women’s anticipated success in STEM? Social Psychological and Personality Science, 2(6), 656-664.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Yanowitz, K. (2004). Do scientists help people? Beliefs about scientists and the influence of pro-social context on girls’ attitudes toward physics. Journal of Women and Minorities in Science and Engineering, 10(4), 393-399.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
Neumark, D., & Song, J. (2013). Do stronger age discrimination laws make Social Security reforms more effective? Journal of Public Economics, 108, 1-16.
Topic Area: Older Workers
Study Type: Causal Impact Analysis
