Age Discrimination In Hiring Research Articles

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

We study the relationships between ageist stereotypes - as reflected in the language used in job ads - and age discrimination in hiring, exploiting the text of job ads and differences in callbacks to older and younger job applicants from a resume (correspondence study) field experiment (Neumark, Burn, and Button, 2019). Our analysis uses computational linguistics and machine learning methods to examine, in a field-experiment setting, ageist stereotypes that might underlie age discrimination in hiring. In so doing, we develop methods and a framework for analyzing textual data, highlighting the usefulness of various computer science techniques for empirical economics research. We find evidence that language related to stereotypes of older workers sometimes predicts discrimination against older workers. For men, we find evidence that age stereotypes about all three categories we consider - health, personality, and skill - predict age discrimination, and for women, age stereotypes about personality predict age discrimination. In general, the evidence that age stereotypes predict age discrimination is much stronger for men, and our results for men are quite consistent with the industrial psychology literature on age stereotypes.

Ageism in Hiring Decisions: Sense of Purpose as a Mitigating Strategy

Discrimination against older adults in the workplace is a pervasive issue that has important consequences for older adults, leading to lower well-being (Stokes & Moorman, 2020) and worse job outcomes (Macdonald & Levy, 2016). One area where discrimination manifests is in hiring practices, and thus research is needed to understand factors that impact willingness to hire older adults. One potential intervention target to reduce age discrimination in hiring is sense of purpose. Sense of purpose manipulations have previously been successful in increasing one’s comfort with diversity (Burrow & Hill, 2013), and thus may prove successful in combatting age discrimination in the workplace. Therefore, the current studies sought to understand whether sense of purpose was related to ageist attitudes and hiring decisions, and how a purpose manipulation might serve as a tool to combat discrimination in hiring. Across two studies (n = 594, MAge = 27.20), participants were shown the resumé of either an older adult applicant (62-years-old) or younger adult applicant (32-years-old), and were asked how hireable they would rate the applicant. The research found that the purpose manipulation did effectively increase individuals’ sense of purpose. In addition, the research found that sense of purpose was negatively related to ageist attitudes. However, the purpose manipulation was unsuccessful in reducing ageist attitudes, and had no effect on ageist discrimination in hiring. These results suggest that while sense of purpose is negatively related to ageist attitudes, manipulating purpose may not be an effective tool to reduce ageist attitudes or discrimination.

Age Discrimination in Hiring

I study age discrimination in hiring, exploiting a difference between age-revealed and partially age-blind hiring procedures. Under the first hiring procedure, age is revealed simultaneously with other applicant information and job offer rates are much lower for older than for younger job applicants. Under the second hiring procedure, interview selections are based on detailed, age-blind on-line applications, while subsequent interviews are not age-blind. Older applicants are not under-selected for interviews, but after in-person interviews when age is revealed, older applicants still face a much lower job offer rate. This evidence is strongly consistent with age discrimination in hiring. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

Older Workers Need Not Apply? Ageist Language in Job Ads and Age Discrimination in Hiring

We study the relationships between ageist stereotypes – as reflected in the language used in job ads – and age discrimination in hiring, exploiting the text of job ads and differences in callbacks to older and younger job applicants from a resume (correspondence study) field experiment (Neumark, Burn, and Button, 2019). Our analysis uses methods from computational linguistics and machine learning to directly identify, in a field-experiment setting, ageist stereotypes that underlie age discrimination in hiring. The methods we develop provide a framework for applied researchers analyzing textual data, highlighting the usefulness of various computer science techniques for empirical economics research. We find evidence that language related to stereotypes of older workers sometimes predicts discrimination against older workers. For men, our evidence points to age stereotypes about all three categories we consider – health, personality, and skill – predicting age discrimination, and for women, age stereotypes about personality. In general, the evidence is much stronger for men, and our results for men are quite consistent with the industrial psychology literature on age stereotypes.

Getting grey hairs in the labour market. An alternative experiment on age discrimination

This study presents a new field experimental approach for measuring age discrimination in hiring. In addition to the classical approach in which candidates’ ages are randomly assigned within pairs of fictitious résumés that are sent to real vacancies, we randomly assign between these pairs the activities undertaken by the older candidates during their additional post-educational years. When applying this design to the case of Belgium, we find that age discrimination depends fundamentally on the older candidates’ career patterns. Older age only robustly affects call-back if the older candidate was employed in an out-of-field job during his or her extra post-educational years.

Improving the Effectiveness of Human Rights Law Against Age Discrimination in Hiring

Age is an enumerated ground of discrimination that is analogous to disability, as age may bring diminishing mental and physical abilities. However, aging affects everyone, and there is not the same ethical imperative to accommodate the aged. The requirement for employers to "accommodate up to the point of undue hardship" does not have a clear application to aging. The unqualified protection against age discrimination in the statutes has not been backed up by enforcement. Courts and tribunals do not take age discrimination very seriously, and claimants rarely win. An examination of complaints to the Ontario Human Rights Tribunal about age discrimination in hiring finds a near zero success rate. This paper suggests a compromise between the two extremes of unqualified statutory protection and very poor enforcement. The appropriate approach to age discrimination in hiring is the enforcement of fair individual evaluation of job applicants.

A field experiment to study sex and age discrimination in the Madrid labour market

This article presents the findings of a field experiment carried out in Madrid which aims to analyse gender and age discrimination in hiring in the labour market of Madrid. A set of five pairs of fictitious man–woman curricula was sent in response to 1062 job offers in six occupations which were advertised on Internet over an eight-month period. It was quantified subsequently the extent to which the different firms contacted more or less the candidates of different sex, age and marital status. No discrimination is detected against women in terms of access to job interviews; however, discriminatory conduct is seen regarding the phenomenon of occupational gender segregation, in the sense that there is a continuance among employers of stereotyped views on the greater suitability of women for certain tasks. No evidence is found to indicate firms showing relative discrimination against married women with children in the first phase of hiring process. And a clear evidence of discrimination is obtained on the basis of age: firms show a substantial fall in interest over interviewing 38-year-old candidates (compared to those aged 24 or 28). This would imply that the tendency to discriminate against older workers may be high, and, what is more, it may start at a surprisingly young age.

An Experimental Investigation of Age Discrimination in the English Labor Market

Carefully-matched pairs of written job applications were made to test for age discrimination in hiring. A twenty-one year-old and a thirty-nine year-old woman applied for jobs where a new graduate was sought; men aged twenty-seven and forty-seven, inquired about employment as waiters; women aged twenty-seven and forty-seven, inquired about employment in retail sales. The rate of net discrimination against the older graduate, and against the older waiters in their London inquiries, correspond to the highest rates ever recorded anywhere, by written tests, for racial discrimination. There was a statistically significant preference for the older applicant in retail sales.*