Getting Grey Hairs in the Labour Market: An Alternative Experiment on Age Discrimination

Baert, Stijn; Norga, Jennifer; Thuy, Yannick; Hecke, Marieke Van

doi:10.2139/ssrn.2655329

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…2. Email audit experiments are increasingly common (Crabtree 2018) and have recently been employed to study racial discrimination (Bertrand and Mullainathan 2004;Brushman and Bonacci 2004;Butler and Broockman 2011;Gell-Redman et al 2018;Hogan and Berry 2011), sexual discrimination (Ahmed, Anderson, and Hammarstedt 2013;Neumark, Bank, and Nort 1996), age discrimination (Ahmed, Anderson, and Hammarstedt 2012;Baert et al 2016), and gender discrimination (Kalla, Rosenbluth, and Teele 2018;Milkman, Akinola, and Chugh 2015;Neumark, Bank, and Nort 1996).…”

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confidence: 99%

Do Elites Discriminate against Female Political Aspirants? Evidence from a Field Experiment

Dhima

2020

Pol & Gen

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Do elites exhibit gender bias when responding to political aspirants? Drawing on theories of gender bias, group attachment, and partisan identity, I conduct the first audit experiment outside the United States to examine the presence of gender bias in the earliest phases of the political recruitment process. Based on responses from 1,774 Canadian legislators, I find evidence of an overall gender bias in favor of female political aspirants. Specifically, legislators are more responsive to female political aspirants and more likely to provide them with helpful advice when they ask how to get involved in politics. This pro-women bias, which exists at all levels of government, is stronger among female legislators and those associated with left-leaning parties. These results suggest that political elites in Canada are open to increasing female political representation and thus should serve as welcome encouragement for women to pursue their political ambitions.

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confidence: 99%

Do Elites Discriminate against Female Political Aspirants? Evidence from a Field Experiment

Dhima

2020

Pol & Gen

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“…(Havet and Sofer, 2008). In our context, statistical discrimination may explain employers' hiring decisions, as employers may prefer younger candidates over older ones (Baert et al , 2016).…”

Section: Employers’ Perceptions and Age Discriminationmentioning

confidence: 99%

How do employers think about older workers?

Axelrad

Kalev

Lewin‐Epstein

2021

QROM

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PurposeHigher pensionable age in many countries that are part of Organization for Economic Co-operation and Development (OECD) and a shrinking pension income force older people to postpone their retirement. Yet, age-based discrimination in employers' decisions is a significant barrier to their employment. Hence, this paper aims to explore employers' attitudes regarding the employment of workers aged 60–70, striving for a better understanding of age discrimination.Design/methodology/approachThe authors used a thematic analysis of semi-structured interviews with 30 managers, experts and employees in retirement age in Israel.FindingsFindings reveal a spectrum of employers' attitudes toward the employment of older workers. The authors' analytical contribution is a conceptual typology based on employers' perceived ability to employ older workers and their stated attitudes toward the employment of older workers.Social implicationsThe insights that emerge from this research are fundamental for organizational actors' ability to expand the productive, unbiased employment of older workers.Originality/valueBy understanding employers' preferences and perspectives and the implications on employers' ability and/or willingness to employ older workers, this research will help policymakers formulate and implement policy innovations that address these biases.

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“…Third, older workers should be aware that employers held the stereotype. As evidence, we drew on various reports put out by AARP; see 9 These include Baert et al (2016); Bendick et al (1997Bendick et al ( , 1999; Carlsson and Eriksson (2019); Farber et al (2017Farber et al ( , 2019; Lahey (2008); Neumark et al (2016Neumark et al ( , 2019aNeumark et al ( , 2019b; and Rich (2006, 2010). Brenoff (2019) and Terrell (2019).…”

Section: Selecting the Stereotypesmentioning

confidence: 99%

Machine Learning and Perceived Age Stereotypes in Job Ads: Evidence from an Experiment

Burn¹,

Firoozi²,

Ladd³

et al. 2021

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Getting Grey Hairs in the Labour Market: An Alternative Experiment on Age Discrimination

Cited by 3 publications

References 21 publications

Do Elites Discriminate against Female Political Aspirants? Evidence from a Field Experiment

Do Elites Discriminate against Female Political Aspirants? Evidence from a Field Experiment

How do employers think about older workers?

Machine Learning and Perceived Age Stereotypes in Job Ads: Evidence from an Experiment

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