In Simple Words
Imagine a judge who gives honest, balanced feedback during non-competitive practice rounds, but subconsciously gives higher scores to familiar faces when actual prize money is on the line. Adding high financial stakes to human judgment opens the door for unconscious demographic preferences to sway final pay decisions.
Teacher evaluations in Pakistani private schools
- Ratings for feedback
- No clear gender gap
- Ratings determine raises
- Men rated 10% higher
The male rating advantage remains after accounting for measured teacher actions and student outcomes. The paper summarizes a separate analysis; no clear gap is not proof of equal treatment.
See source →Research question
Subjective evaluation systems can introduce systematic demographic bias when financial stakes are introduced into performance appraisals. Evaluators who display no observable bias in non-monetary feedback may favor specific employee demographic groups when evaluations directly dictate wage increases.
Participants
N = 6,080 teachers (80% female) and 189 managers (61% female) across 234 private schools in Pakistan.
Study Design
Randomized controlled trial (RCT) combined with vignette-based survey experiments and administrative appraisal analysis controlling for teacher actions and student outcomes.
Results
When subjective evaluations directly determined financial raises, male teachers received 10% higher performance ratings controlling for teacher actions and student outcomes; when evaluations carried no financial stake, no evaluation difference by gender existed.
Takeaway
Pair high-stakes subjective rating systems with high-frequency managerial monitoring and explicit evaluation rubrics to eliminate demographic evaluation disparities.
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.
- Randomized controlled trial
A study that uses chance, like drawing lots, to decide who receives each option being compared. Researchers compare the groups’ outcomes to estimate the effect of those options.
ExampleA lottery assigns volunteers to a training programme or a comparison group. Researchers then compare their outcomes.
GET-IT glossary · Randomized study ↗Read more about randomized controlled trial →