Help Really Wanted? The Impact of Age Stereotypes in Job Ads on Applications from Older Workers /

Correspondence studies have found evidence of age discrimination in callback rates for older workers, but less is known about whether job advertisements can themselves shape the age composition of the applicant pool. We construct job ads for administrative assistant, retail, and security guard jobs,...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Burn, Ian
Körperschaft:
National Bureau of Economic Research
Weitere Verfasser:
Firoozi, Daniel, Ladd, Daniel, Neumark, David
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Cambridge, Mass. National Bureau of Economic Research 2022.
Zusammenfassung:
Correspondence studies have found evidence of age discrimination in callback rates for older workers, but less is known about whether job advertisements can themselves shape the age composition of the applicant pool. We construct job ads for administrative assistant, retail, and security guard jobs, using language from real job ads collected in a prior large-scale correspondence study (Neumark et al., 2019a). We modify the job-ad language to randomly vary whether or not the job ad includes ageist language regarding age-related stereotypes. Our main analysis relies on machine learning methods to design job ads based on the semantic similarity between phrases in job ads and age-related stereotypes. In contrast to a correspondence study in which job searchers are artificial and researchers study the responses of real employers, in our research the job ads are artificial and we study the responses of real job searchers.
We find that job-ad language related to ageist stereotypes, even when the language is not blatantly or specifically age-related, deters older workers from applying for jobs. The change in the age distribution of applicants is large, with significant declines in the average and median age, the 75th percentile of the age distribution, and the share of applicants over 40. Based on these estimates and those from the correspondence study, and the fact that we use real-world ageist job-ad language, we conclude that job-ad language that deters older workers from applying for jobs can have roughly as large an impact on hiring of older workers as direct age discrimination in hiring.
Umfang:
1 online resource: illustrations (black and white);
Anmerkungen:
July 2022.
Schlagworte: