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The study examines whether age intersects with gender and race during the initial stage of the hiring process and affects access to vacancies outcomes and wage sorting.

In order to answer the research question, the study collects data from four simultaneous field experiments in England. The study compares the labour market outcomes of younger White British men with those of older White British men and women, and with those of older Black British men and women. The study concentrates on low-skilled vacancies in hospitality and sales in the private sector.

The results of this study indicate that older White British men and women, as well as older Black British men and women, experience occupational access constraints and are sorted into lower-paid jobs than younger White British men. The level of age discrimination is found to be higher for Black British men and women. In addition, Black British women experience the highest level of age discrimination. These patterns may well be in line with prejudices against racial minority groups and stereotypical sexist beliefs that the physical strengths and job performance of women decline earlier than those do for men.

If prejudices against older individuals are present, then anti-discrimination legislation may be the appropriate response, especially for racial minorities and women. Eliminating age discrimination in selection requires firms to adopt inclusive human resources (HR) policies at the earliest stages of the recruitment process.

This research presents for the first-time comparisons of access to vacancies and wage sorting between younger male racial majorities and older male racial majorities, older female racial majorities, older male racial minorities, and older female racial minorities. In addition, the driven mechanism of the assigned differences is explored. Because the study has attempted to minimise the negative employer stereotypes vis-à-vis older employees, with respect to the employees' motivation, productivity, and health, such prejudices against older individuals may be considered taste-based discrimination.

This paper analyzes the age pay gap in Italy (22%), particularly as it is of interest in an aging society and as it may affect social cohesion. Instead of the traditional approach for model selection, we use a machine-learning approach (post double robust Least Absolute Shrinkage Operator [LASSO]). This approach allows us to reduce Omitted Variable Bias (OVB), given data restrictions, and to obtain a robust estimate of the conditional age pay gap. We then decompose the conditional gap and analyze the impact of four further potential sources of heterogeneity (workers', sectors', and occupations' permanent heterogeneity as well as sample selection bias). The results suggest that age discrimination in pay is only perceived but not real in Italy for both men and women.

The age diversity climate construct is gaining greater attention in the organizational literature due to the demographic changes in the workplace. While the few existing studies on age diversity climate (ADC) are rather encouraging, this construct is still at an early stage of conceptual and operational development. This chapter helps to advance this field of research by analyzing the conceptual issues stemming from the theoretical definition and empirical measurement of the ADC construct. We first review and compare ADC with other age-focused climate concepts, highlighting overlapping and diverging factors regarding their conceptual framework and operationalization. Subsequently, we consider several open issues related to the operationalization of ADC, including the level of analysis, the choice of referent, and the dimensions of analysis. We conclude the chapter by outlining possibilities for future research on ADC.

The main goal of this paper is to test whether older Hungarian women face age discrimination in the job market. The theoretical framework of this paper measures the level of discrimination and highlights that age discrimination leads to a waste of human resources.

Two pairs of fictitious CVs were created; each pair included a younger (34 years old) and an older woman (60 years old) with an age difference of 26 years. One pair was designed for office assistant positions, the other for economic analyst positions. The contents of the CVs with photos were entirely fabricated except for active email addresses and phone numbers to allow responses to be tracked. LinkedIn accounts were also created for the analysts. Applications were sent over a four-month period from November 2019. The rate of invitation to interviews was analysed with mathematical statistical methods and a small probability model.

The younger job seekers were invited to interviews about 2.2 times more often than the older ones. Based on the authors’ probability model, employers evaluate the skills of older applicants at only 45–67% of their actual skills.

The experiment had to be stopped due to the Covid-19 lockdown as there were no new job postings.

The experiment demonstrates that age discrimination exists in Hungary. In addition to traditional audit job applications through HR portals, we used LinkedIn too. The small probability model applies an old framework in a new environment.

The purpose of this paper is to address four interrelated questions: what is the prevalence of ageism amongst employers? What are the factors conditioning employers’ age stereotypes? To what extent are ageist attitudes among employers translated into discriminatory recruitment, retention and firing practices? And what factors can moderate the stereotype–discrimination interaction?

The paper draws on a survey conducted among Danish employers; 2,525 completed the survey questionnaires; response rate 25 per cent.

The major finding is that ageist stereotypes among employers do not translate into discriminatory personnel management practices.

The findings may be specific to Denmark. Denmark is renowned to be a non-hierarchical, egalitarian society, which may have implications for personnel management practices.

Contrary to this study, most studies analysing ageist stereotypes do not assess the extent to which stereotypes are translated into discriminatory personnel management practices in the workplace.

Based on the role theory, this study examines whether workplace age discrimination indirectly relates to older workers' bridge employment intentions through work meaningfulness.

Study 1 used two-wave time-lagged survey data from one hundred and seventy nurses (≥45 years old) from the Midwestern United States. Study 2 used three-wave time-lagged survey data from one hundred and eighty-six employees from a wide range of occupations in the United States. The online survey contains various self-reports on workplace age discrimination, work meaningfulness, affective commitment, and bridge employment intentions.

Results in Study 1 found that workplace age discrimination was negatively and indirectly related to older nurses' bridge employment intentions through their experiences of work meaningfulness. Results in Study 2 further confirmed the mediating role of work meaningfulness in the relationship between age discrimination and bridge employment intentions, above and beyond the role of affective commitment.

This study contributes to the research by testing the indirect relationship between workplace age discrimination and older workers' bridge employment intentions through work meaningfulness, further raising our awareness of the importance of social and interpersonal experiences in older workers' preretirement jobs to their late-career development.

The engagement and retention of older workers is a major concern for organisations and has been an increasing focus for human resource scholars internationally. Drawing on social exchange theory (SET), the purpose of this paper is to examine the conditions under which retention and engagement of older workers could be enhanced, together with the potential for perceptions of age discrimination to negatively influence these outcomes.

The study surveyed a large sample of New Zealand workers aged 55 years and over from across 28 New Zealand organisations of varying size and from a wide range of industrial sectors. A moderated-mediation model was proposed to examine the relationship between perceived organisational support (POS) and intention to leave, the mediating effect of job engagement in this relationship, and the moderating influence of perceived age discrimination on this mediation.

While POS was negatively related to workers’ intention to quit, job engagement partially mediated this relationship. Age discrimination moderated this mediation. As perceived age discrimination increased, the mediation of job engagement was weakened as POS had less influence on the job engagement of older workers.

Implications for human resource management practice include the importance of providing organisational support for older workers along with protections from age bias and discrimination.

The study is one of the first to apply SET to the context of older workers, and has extended the SET literature through its examination of the role of employee engagement as a mediator of this relationship, and how perceived age discrimination, as a negative aspect of the work environment, can negatively impact these relationships.

A model of stereotypical beliefs that older workers have difficulty learning and developing and are not motivated to learn is presented. Three categories of antecedents of the stereotypical beliefs are addressed: (1) experience with stereotype-consistent behaviors and promulgation of the stereotype by others; (2) perceived learning and development inhibitors internal to the older worker; and (3) perceived learning and development inhibitors external to the older worker. Potential consequences of the stereotypical beliefs for older workers and employing organizations are also explored. Individuating information and knowledge of within-older-group differences are posited to attenuate the influence of group-based stereotypes. Processes and tactics within organizations that should increase this information and knowledge are presented. The proposed model provides a framework to help guide future research on this topic and also some suggestions for managing a work place where these beliefs may exist.

The aim of this paper is to review research conducted on managing the ageing healthcare workforce and identify gaps for further research.

A systematic literature search of studies in the English language was carried out in Scopus and Web of Science databases.

The study consists of an analysis of 75 published articles. The majority of the papers were published in recent years, indicating a growing interest in the field. The authors specified the following inclusion criteria: all years, articles/reviews, English language and full text in the Web of Science and Scopus databases. The authors of the paper illustrated seven major categories with different topics that were suggested for future research. It included: challenges of labor market in the healthcare field, age-related changes and their influence on work ability, training opportunities and lifelong learning among ageing health workforce, motives of early retirement, ageing and its relationship to Occupational Health and Safety. Longitudinal studies and case study strategy with mixed-methods approaches were suggested for future research by the authors.

The paper summarizes knowledge related to the management of ageing health workforce, describes topics researched and as a result, presents findings on and conclusions about the most important future implications of the ageing workforce for management in the healthcare field providing lines for further research. To the authors' knowledge, no holistic systematic literature reviews have been published in academic journals targeted specifically to ageing healthcare workers.