Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/298522 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
Working Paper No. 2023:7
Verlag: 
Lund University, School of Economics and Management, Department of Economics, Lund
Zusammenfassung: 
How do men and women dier 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.
Schlagwörter: 
Competitiveness
Gender
Fairness
Machine learning
Online experiment
JEL: 
C90
D91
J16
C14
Dokumentart: 
Working Paper

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