Discrimination in hiring: the curse of motorcycle women
The event of holding a driver’s licence and listing it on a resume sends a signal of a capacity for mobility which generally increases the chances of getting a job. However, the effect of this signal can entirely be reversed in the case of a female candidate holding a motorcycle driver’s licence. We demonstrate this effect by using a testing procedure carried out in the Greater Paris area for the profession of young management controllers. In that profession with a high concentration of women, the simple attribute of a female candidate mentioning a motorcycle driver’s licence on her resume causes her to lose her advantage over a male candidate. The listing of a driver’s licence on a resume is perceived by the employers as a gender-related characteristic. This provides a clear instance of the complexity of studying the role of stereotypes in the analysis of discrimination in hiring.
|Date of creation:||2014|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01100317|
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Emmanuel Duguet & Pascale Petit, 2005.
"Hiring discrimination in the French financial sector: an econometric analysis on field experiment data,"
Annals of Economics and Statistics,
GENES, issue 78, pages 79-102.
- Pascale Petit & Emmanuel Duguet, "undated". "Hiring Discrimination in the French Financial Sector : an Econometric Analysis on Field Experiment Data," EcoMod2006 272100069, EcoMod.
- Emmanuel Duguet & Pascale Petit, 2004. "Hiring discrimination in the French financial sector : an econometric analysis on field experiment data," Cahiers de la Maison des Sciences Economiques v04038, Université Panthéon-Sorbonne (Paris 1).
- DUGUET Emmanuel & PETIT Pascale, 2004. "Hiring discrimination in the French financial sector: an econometric analysis on field experiment data," Labor and Demography 0411006, EconWPA.
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