In Simple Words
Changing a recruitment message acts like adjusting a mesh filter on a sifter. Even if the total volume of sand passing through the sifter remains identical, the size and type of grains that make it through change completely.
Youth approached about job training in Cairo
- Basic training invitation
- Comparison applicant pool
- Invitation plus career-growth accounts
- Rich share 62% higher among applicants
Experiment 1 professional-stigma messaging increased the rich share of applicants by a reported 62% relative to control. Rich is defined by use of private cars or on-demand transport, not a measured income threshold. This is a change in who applies, not an increase in individual wealth. Social and personal messages are omitted.
See source →Research question
Evaluations that rely exclusively on average treatment effects risk misinterpreting ineffective interventions when messaging significantly alters applicant demographics while leaving overall take-up unchanged.
Participants
N = 611 to 1,470 street-recruited unemployed/underemployed youth in Cairo, Egypt.
Study Design
Machine learning (Lasso regression and split-sample validation) estimating individual treatment effects and evaluating baseline demographic shifts among applicants.
Results
Professional stigma framing shifted applicant composition significantly, increasing the share of rich applicants by 62% (p < 0.01) and currently working applicants by 28% relative to control, despite near-zero net application growth.
Takeaway
Audit recruitment interventions using Lasso-based index metrics and machine learning heterogeneity tests rather than evaluating success solely on aggregate participation volume.
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 →