People Judge Discrimination Against Women More Harshly Than Discrimination Against Men - Does Statistical Fairness Discrimination Explain Why?

ABSTRACT: Previous research has shown that people care less about men than about women who are left behind. We show that this finding extends to the domain of labor market discrimination: In identical scenarios, people judge discrimination against women more morally bad than discrimination against men. This result holds in a representative sample of the US population and in a larger but not representative sample of Amazon Mechanical Turk (Mturk) respondents. We test if this gender gap is driven by statistical fairness discrimination, a process in which people use the gender of the victim to draw inferences about other characteristics which matter for their fairness judgments. We test this explanation with a survey experiment in which we explicitly hold information about the victim of discrimination

SUBMITTER: Feess E 

PROVIDER: S-EPMC8488152 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature