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Related Studies

Displaying 201 - 210 of 606
2025
Riccio, J., & Friedlander, D. (1992). GAIN: Program strategies, participation patterns, and first-year impacts in six counties. California’s greater avenues for independence program. Sacramento, CA: MDRC. [Two-parent households]
  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Supported employment or other employment supports

2024
Riccio, J., & Friedlander, D. (1992). GAIN: Program strategies, participation patterns, and first-year impacts in six counties. California’s greater avenues for independence program. Sacramento, CA: MDRC. [Single-parent households]
  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Supported employment or other employment supports

810

Benus, J., Shen, T., Zhang, S., Chan, M., & Hansen, B. (2009). Growing America through entrepreneurship: Final evaluation of Project GATE. Washington, DC: IMPAQ International.

  • Topic Area: Entrepreneurship and Self-Employment

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Other training and education

908

Benus, J., McConnell, S., Bellotti, J., Shen, T., Fortson, K., & Kahvecioglu, D. (2008). Growing America Through Entrepreneurship: Findings from the evaluation of Project GATE. Columbia, MD: IMPAQ International.

  • Topic Area: Entrepreneurship and Self-Employment

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Other training and education Unemployment Insurance

68

Morley, E., & Rossman, S. (1997). Helping at-risk youth: Lessons from community-based initiatives. Washington, DC: The Urban Institute.

  • Topic Area: Opportunities for Youth

Study Type: Descriptive Analysis

Outcome Effectiveness:

Mentoring Other training and education Youth programs

2010
Geckeler, C., Betesh, H., Diaz, H., Folsom, L., Kim, H., & Paprocki, A. (2017). Helping dropout youth find education and employment: Final impact report for the evaluation of the Los Angeles Reconnections Career Academy (LARCA) program. Oakland, CA: Social Policy Research Associates.
  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Youth programs Training and Education

2012
Leopold, J., Anderson, T., McDaniel, M., Hayes, C., Adeeyo, S., & Pitingolo, R. (2019). Helping public housing residents find better jobs and build careers: Evaluation findings from New York City’s Jobs-Plus expansion. Washington, DC: Urban Institute.
  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Employment and Training Services Employment and Reemployment Job search assistance and supportive services

1141

Michaud, P., & Van Soest, A. (2008). How did the elimination of the US earnings test above the normal retirement age affect labour supply expectations? Fiscal Studies, 29(2), 197-231. doi:10.1111/j.1475-5890.2008.00073.x

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Federal retirement benefits Older workers' programs

1177

Coe, N. B., & Goda, G. S. (2015). How much does access to health insurance influence the timing of retirement? (SIEPR Discussion Paper No. 14-007). Stanford, CA: Stanford Institute for Economic Policy Research. City, ST: Publisher.

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Health insurance Older workers' programs

638

Milgram, D. (2011). How to recruit women and girls to the science, technology, engineering, and math (STEM) classroom. Technology and Engineering Teacher, 71(3), 4-11.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

Youth programs Science, Technology, Engineering, and Math (STEM) programs