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Reducing child labour in Panama: An impact evaluation (Andisha et al. 2014)

Reducing child labour in Panama: An impact evaluation (Andisha et al. 2014)

Limiting child labor through behavior-based income transfers: An experimental evaluation of the PETI program in rural Brazil (Yap et al. 2009)

Do conditional cash transfers reduce child labor?: Evidence from the Philippines (Galang 2016)

The Quantum Opportunity Program Demonstration: Short-term impacts (Schirm et al. 2003)

The impact of financial education for youth in Ghana (Berry et al. 2015)

The impact of financial education for youth in Ghana (Berry et al. 2015)

Integrating economic strengthening and family coaching to reduce work-related health hazards among children of poor households: Burkina Faso (Karimli et al. 2018)

Integrating economic strengthening and family coaching to reduce work-related health hazards among children of poor households: Burkina Faso (Karimli et al. 2018)

Long-term effects of job-search assistance: Experimental evidence using administrative tax data (Manoli et al. 2018)

Review Guidelines

Citation

Ben-Shalom, Yonatan, and Mamun, Arif. (2013). Return-to-Work Outcomes among Social Security Disability Insurance Program Beneficiaries. Princeton, NJ: Mathematica Policy Research, Center for Studying Disability Policy.

Highlights

  • This study followed a sample of working-age Social Security Disability Insurance (DI) program recipients for five years after their first benefit award to describe how certain factors helped or hindered their return-to-work outcomes.
  • The study used linear probability models to estimate how individual and environmental factors were associated with achieving return-to-work milestones, across seven primary impairment groups: affective disorders, other psychiatric disorders, intellectual disability, sensory impairments, back disorders, other musculoskeletal disorders, and other physical disorders.
  • The study found that the probability of achieving employment milestones increased with sensory impairments, being black, years of education, and DI award at initial adjudication level. It decreased with age at DI award, back and other musculoskeletal disorders, higher levels of DI benefits at award, receipt of Supplemental Security Income or Medicare at time of DI award, age, and higher state unemployment rates, among other factors.
  • The study also found that differences across age and impairment group persisted after accounting for other characteristics.

Reviewed by CLEAR

November 2014