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Abstract
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.
| Dokumententyp: | Paper |
|---|---|
| Keywords: | competitiveness; gender; fairness; machine learning; online experiment |
| Fakultät: | Volkswirtschaft > Collaborative Research Center Transregio "Rationality and Competition" |
| Themengebiete: | 300 Sozialwissenschaften > 330 Wirtschaft |
| JEL Classification: | C90, D91, J16, C14 |
| URN: | urn:nbn:de:bvb:19-epub-104840-8 |
| Sprache: | Englisch |
| Dokumenten ID: | 104840 |
| Datum der Veröffentlichung auf Open Access LMU: | 19. Jul. 2023, 05:28 |
| Letzte Änderungen: | 03. Jan. 2024, 09:59 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 280092119 |
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