Does unfairness hurt women? The effects of losing unfair competitions

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Working Papers in Economics and Statistics ; No. 2023-11

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Design of Experiments: General ; Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡ ; Economics of Gender; Non-labor Discrimination ; Semiparametric and Nonparametric Methods: General
• Thema: Competitiveness ; Gender ; Fairness ; Machine learning ; Online experiment

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Piasenti, Stefano ; Valente, Marica ; van Veldhuizen, Roel ; Pfeifer, Gregor
• Ereignis: Veröffentlichung
• (wer): University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)
• (wo): Innsbruck
• (wann): 2023

Weitere Informationen

• Handle: http://hdl.handle.net/10419/278626
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ