Field | Before | After |
---|---|---|
Field Study Withdrawn | Before | After No |
Field Intervention Completion Date | Before | After June 30, 2021 |
Field Data Collection Complete | Before | After Yes |
Field Final Sample Size: Number of Clusters (Unit of Randomization) | Before | After 2086 |
Field Was attrition correlated with treatment status? | Before | After No |
Field Final Sample Size: Total Number of Observations | Before | After 2086 |
Field Final Sample Size (or Number of Clusters) by Treatment Arms | Before | After 716 in the Neutral treatment, 684 in the Unfair treatment, 686 in the Feedback treatment |
Field Is there a restricted access data set available on request? | Before | After No |
Field Program Files | Before | After No |
Field Data Collection Completion Date | Before | After June 30, 2021 |
Field Is data available for public use? | Before | After No |
Field | Before | After |
---|---|---|
Field Paper Abstract | Before | After How do men and women differ in their persistence after experiencing failure in a competitive environment? We tackle this question by combining a large online experiment (N=2,086) with machine learning. We find that when losing is unequivocally due to merit, both men and women exhibit a significant decrease in subsequent tournament entry. However, when the prior tournament is unfair, i.e., a loss is no longer necessarily based on merit, women are more discouraged than men. These results suggest that transparent meritocratic criteria may play a key role in preventing women from falling behind after experiencing a loss. |
Field Paper Citation | Before | After July 2023 IZA DP No. 16324: Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions Stefano Piasenti, Marica Valente, Roel van Veldhuizen, Gregor Pfeifer |
Field Paper URL | Before | After https://www.iza.org/publications/dp/16324/does-unfairness-hurt-women-the-effects-of-losing-unfair-competitions |