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来源类型Working Paper
规范类型报告
DOI10.3386/w30287
来源IDWorking Paper 30287
Help Really Wanted? The Impact of Age Stereotypes in Job Ads on Applications from Older Workers
Ian Burn; Daniel Firoozi; Daniel Ladd; David Neumark
发表日期2022-08-01
出版年2022
语种英语
摘要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.
主题Labor Economics ; Demography and Aging ; Unemployment and Immigration ; Labor Discrimination
URLhttps://www.nber.org/papers/w30287
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/587965
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Ian Burn,Daniel Firoozi,Daniel Ladd,et al. Help Really Wanted? The Impact of Age Stereotypes in Job Ads on Applications from Older Workers. 2022.
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