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Fields Changed

Registration

Field Before After
Trial Status on_going completed
Last Published December 04, 2023 09:00 AM September 12, 2025 08:28 AM
Study Withdrawn No
Intervention Completion Date August 31, 2024
Data Collection Complete Yes
Final Sample Size: Number of Clusters (Unit of Randomization) 203 teachers
Was attrition correlated with treatment status? No
Is there a restricted access data set available on request? No
Program Files No
Data Collection Completion Date June 30, 2024
Is data available for public use? No
Public analysis plan No Yes
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Papers

Field Before After
Paper Abstract We investigate the impact of ethnicity and gender on teacher assessments through a randomized controlled experiment involving 203 teachers grading a single class's assignments. Within teachers we randomly assigned names, signaling gender and ethnicity, with a control group grading anonymized assignments. We find no statistically significant evidence of grading bias based on student name, ethnicity or gender, unlike previous studies. This holds even among teachers with stronger implicit biases against foreign or male names. However, we observe significant variation in grades assigned by teachers for identical assignments. Finally, through counterfactual policy simulations, we demonstrate an economically relevant trade-off between precision and accuracy for grading policies in schools.
Paper Citation Alne, Ragnar H., Herstad, Eyo I. and Reiling, Rune B., Fairness in Grading: Randomizing Ethnicity and Gender in Teacher Assessments (October 28, 2024). Available at SSRN: https://ssrn.com/abstract=5002237 or http://dx.doi.org/10.2139/ssrn.5002237
Paper URL https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5002237
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