Stigma Mitigation Policy Targeting Trade-Off
RCTClinical Trial
Attempts to increase labor market assistance take-up through stigma mitigation shift enrollment toward older, wealthier, and already employed jobseekers. This creates a policy trade-off between maximizing program treatment returns through better-prepared candidates and reaching the most economically disadvantaged target populations.
Picture this
Imagine a free career workshop designed for struggling, long-term unemployed youth. If the organizer changes the flyer to say "Smart professionals use our coaching to get ahead," wealthy college graduates sign up in large numbers while the most disadvantaged youth stay away. The program fills its seats with candidates who might perform well, but fails to reach the vulnerable group it was funded to help.
What the evidence says
Stigma treatments shifted the applicant baseline characteristics index by +0.174 standard deviations in Exp 1 (p < 0.05) and +0.914 in Exp 2 (p < 0.05), increasing the applicant share of wealthy jobseekers by 62% (p < 0.01) and currently employed jobseekers by 28% (p < 0.05).
- Who was studied
- N = 1,460 jobseekers (Experiment 1) and N = 768 jobseekers (Experiment 2) in Greater Cairo, Egypt.
- How
- Randomized Field Experiment comparing baseline Lasso-based applicant indexes and machine learning subgroup estimations across control and stigma mitigation treatment arms.
What to do
Define explicitly whether a labor policy prioritizes equity or impact efficiency before launching anti-stigma messaging campaigns in recruitment drives.
From the source
"In our experiments, the treatments designed to alleviate stigma delivered applicants to the program who were generally richer, older, and more likely to be already working. These are likely not those with the most financial need."
Stigma and Take-Up of Labor Market Assistance: Evidence from Two Field Experiments