In Simple Words
Imagine a free municipal staffing agency that only attracts temporary, low-wage job listings because top employers post on private sites; candidates who get matched through the agency find work quickly, but end up earning less than they did in their previous career positions.
Similar workers in Brazil SINE evaluation
- No interview referral
- Group used for comparison
- Received an interview referral
- Higher chance of getting a job
The quasi-experimental SINE evaluation followed similar workers, with only one group receiving an interview referral, and compared the groups before and after referral. It reported increased job-finding chances. The source separately describes referred workers earning less than in their previous jobs; that is a different comparison and is not drawn here.
See source →Research question
Public employment services in developing economies often face declining usage among job seekers due to systemic difficulties in capturing high-quality job vacancies from private firms, leading to job placements that lower post-unemployment wages.
Participants
Job seekers in Brazil utilizing the National Employment System (SINE) between 2012 and 2022.
Study Design
Quasi-experimental evaluation utilizing administrative panel data and propensity score matching comparing job seekers who received SINE interview referrals against non-referred workers.
Results
National usage of SINE among Brazilian job seekers fell from 3.81% in 2012 to 1.81% in 2022. While receiving a job referral through SINE increased overall hiring probability, it resulted in a statistically significant wage reduction compared to workers' previous employment due to the system's inability to capture high-quality private vacancies.
Takeaway
Establish data-sharing partnerships with private enterprises and implement administrative tracking indicators across job centers to improve vacancy capture quality and match outcomes.
Source and citation
See source →Evidence in Labor Market Policies and Implications for Brazil: Job Search Assistance
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Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Statistically significant
A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.
ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.
American Statistical Association · Statement on p-values ↗Read more about statistically significant →