Related Studies
Employment and Training Services > Employment and Reemployment
Displaying 651 - 660 of 701
Employment and Training Services > Employment and Reemployment
Coile, C., Duggan, M., & Guo, A. (2015). Veterans’ labor force participation: What role does the VA’s disability compensation program play? American Economic Review, 105(5), 131-136.
Topic Area: Veterans
Study Type: Causal Impact Analysis
- Employment-Low-Favorable impactsEmployment
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
- Employment-Mod/high-No impactsEmployment
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
Denner, J. (2011). What predicts middle school girls’ interest in computing? International Journal of Gender, Science and Technology, 3(1), 54-69.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE report 2012-08). Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [Minnesota Tier 2]
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
- Employment-Mod/high-Favorable impactsEmployment
- Public benefits receipt-Low-Favorable impactsPublic benefit receipt
Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE Report 2012-08). Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [NYC PRIDE]
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
- Earnings and wages-Low-Favorable impactsEarnings and wages
- Employment-Low-Favorable impactsEmployment
- Public benefits receipt-Low-Favorable impactsPublic benefit receipt
Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the hard-to-employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE Report 2012-08.) Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [NYC SACM]
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
- Earnings and wages-Low-No impactsEarnings and wages
- Employment-Low-No impactsEmployment
- Public benefits receipt-Low-No impactsPublic benefit receipt
Bailey, J. (2014). Who pays the high health costs of older workers? Evidence from prostate cancer screening mandates. Applied Economics, 46(32), 3931-3941. doi:10.1080/00036846.2014.948673
Topic Area: Older Workers
Study Type: Causal Impact Analysis
- Earnings and wages-Mod/high-Unfavorable impactsEarnings and wages
- Employment-Mod/high-Unfavorable impactsEmployment
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
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