EconPapers    
Economics at your fingertips  
 

Does Ageist Language in Job Ads Predict Age Discrimination in Hiring?

Ian Burn, Patrick Button (), Luis Munguia Corella and David Neumark

Journal of Labor Economics, 2022, vol. 40, issue 3, 613 - 667

Abstract: We study ageist stereotypes reflected in job-ad language and age discrimination in hiring, exploiting job-ad text and evidence on age discrimination from a correspondence study. We develop and use methods from computational linguistics and machine learning. We find that language related to stereotypes of older workers sometimes predicts hiring discrimination against older men. This is the case for all three categories of age stereotypes we consider—health, personality, and skill. For women, we find that age stereotypes about personality predict differential hiring by age. The evidence for men is quite consistent with the industrial psychology literature on age stereotypes.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://dx.doi.org/10.1086/717730 (application/pdf)
http://dx.doi.org/10.1086/717730 (text/html)
Access to the online full text or PDF requires a subscription.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ucp:jlabec:doi:10.1086/717730

Access Statistics for this article

More articles in Journal of Labor Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().

 
Page updated 2025-03-22
Handle: RePEc:ucp:jlabec:doi:10.1086/717730