In Simple Words
Think of two people trying to sell used cars: a luxury car seller whose asking price is already aligned with market value, and a basic hatchback seller who demands luxury prices. When both visit an open auto market, the luxury seller learns very little new, but the hatchback seller receives an immediate reality check, lowers their asking price to market rates, and successfully completes a sale.
Job-fair invitation effects by education
- High-school education
- 5.76 percentage points more in permanent work
- Post-secondary education
- 2.6 percentage points less; uncertain
Six-month endline after the last fair. Invitation effects on permanent employment differed by education, p = 0.018. The post-secondary estimate alone was statistically uncertain.
See source →Research question
Information interventions in labor markets are often expected to benefit highly educated candidates most due to their greater formal qualifications. However, when expectational misalignments are concentrated among secondary-educated jobseekers, low-cost market exposure generates substantial welfare gains for less-educated groups while having minimal impact on university graduates.
Participants
N = 1,705 endline jobseekers (comparing high-school diploma holders with post-secondary degree/diploma holders) in Addis Ababa, Ethiopia.
Study Design
Stratified randomized field experiment measuring treatment effect heterogeneity by baseline educational attainment across a 12-month panel.
Results
High-school educated jobseekers doubled their permanent employment rate from 5.8% to 11.6% (ITT = +5.76 percentage points, p < 0.05) and increased formal employment by 45% (+4.82 percentage points, p < 0.10), driven by an 8.7% reduction in reservation wages (p < 0.10); post-secondary jobseekers showed no statistically significant change in permanent employment (-2.6 percentage points, p > 0.10) or reservation wages (-3.5%, p > 0.10).
Takeaway
Target wage-information and market-exposure programs specifically toward high-school educated jobseekers who face severe structural expectational misalignments regarding formal entry-level roles.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Baseline
The starting measurements in a study. Researchers use these to compare what participants were like at the start with what happens later.
ExampleBefore a training programme starts, researchers measure workers’ earnings. That first measurement is the baseline.
GET-IT glossary · Baseline characteristics ↗Read more about baseline →- Percentage points
The difference between two percentages.
ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.
Office for National Statistics · Percentages ↗Read more about percentage points →- 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 →