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Related Studies

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2327
Wehman, P. H., Schall, C. M., McDonough, J., Kregel, J., Brooke, V., Molinelli, A., Ham, W., Graham, C. W., Riehle, J. E., Collins, H. T., & Thiss, W. (2014). Competitive employment for youth with autism spectrum disorders: Early results from a randomized clinical trial. Journal of Autism and Developmental Disorders, 44(3), 487-500. https://doi.org/10.1007/s10803-013-1892-x
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

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

652

Riccio, J., Dechausay, N., Miller, C., Nunez, S., Verma, N., & Yang E. (2013). Conditional cash transfers in New York City: The continuing story of the Opportunity NYC—Family Rewards demonstration. New York, NY: MDRC.

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Other employment and reemployment Other training and education

1006

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

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Unemployment Insurance

355

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

Outcome Effectiveness:

Disability insurance Supplemental security income (SSI) Other employment and reemployment

2447
Jensen, E., Williams, C. J., & Kane, S. (2020). Do in-prison correctional programs affect post release employment and earnings? International Journal of Offender Therapy and Comparative Criminology, vol. 64(6-7), 674-690. https://doi.org/10.1177/0306624X19883972
  • Topic Area: Reentry

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Employment and Training Services Employment and Reemployment Reentry

2468
Jung, H. (2014). Do prison work-release programs improve subsequent labor market outcomes? Evidence from the adult transition centers in Illinois. Journal of Offender Rehabilitation, 53, 384-402. https://doi.org/10.1080/10509674.2014.922158
  • Topic Area: Registered Apprenticeship and Work-Based Learning

  • Topic Area: Reentry

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Employment and Training Services Reentry

2423
Michaelides, M., Mueser, P. R., & Smith, J. A. (2020). Do reemployment programs for the unemployed work for youth? Evidence from the great recession in the United States. IZA Discussion Papers, No. 13324. [Florida REA vs. Control]
  • Topic Area: Reemployment

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Unemployment Insurance

2424
Michaelides, M., Mueser, P. R., & Smith, J. A. (2020). Do reemployment programs for the unemployed work for youth? Evidence from the great recession in the United States. IZA Discussion Papers, No. 13324. [Idaho REA vs. Control]
  • Topic Area: Reemployment

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Unemployment Insurance

2425
Michaelides, M., Mueser, P. R., & Smith, J. A. (2020). Do reemployment programs for the unemployed work for youth? Evidence from the great recession in the United States. IZA Discussion Papers, No. 13324. [Nevada REA vs. Control]
  • Topic Area: Reemployment

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Unemployment Insurance

580

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

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

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