Monitoring hiring discrimination through online recruitment platforms
| Autor: | Dominik Hangartner, Michael Siegenthaler, Daniel Kopp |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
050208 finance
Multidisciplinary Point (typography) media_common.quotation_subject 05 social sciences Immigration Control (management) Public employment service Ethnic group Country of origin 0502 economics and business Trait Demographic economics Tracking (education) 050207 economics Economics Politics Psychology media_common |
| Zdroj: | Nature, 589 (7843) |
| Popis: | Women (compared to men) and individuals from minority ethnic groups (compared to the majority group) face unfavourable labour market outcomes in many economies1,2, but the extent to which discrimination is responsible for these effects, and the channels through which they occur, remain unclear3,4. Although correspondence tests5—in which researchers send fictitious CVs that are identical except for the randomized minority trait to be tested (for example, names that are deemed to sound ‘Black’ versus those deemed to sound ‘white’)—are an increasingly popular method to quantify discrimination in hiring practices6,7, they can usually consider only a few applicant characteristics in select occupations at a particular point in time. To overcome these limitations, here we develop an approach to investigate hiring discrimination that combines tracking of the search behaviour of recruiters on employment websites and supervised machine learning to control for all relevant jobseeker characteristics that are visible to recruiters. We apply this methodology to the online recruitment platform of the Swiss public employment service and find that rates of contact by recruiters are 4–19% lower for individuals from immigrant and minority ethnic groups, depending on their country of origin, than for citizens from the majority group. Women experience a penalty of 7% in professions that are dominated by men, and the opposite pattern emerges for men in professions that are dominated by women. We find no evidence that recruiters spend less time evaluating the profiles of individuals from minority ethnic groups. Our methodology provides a widely applicable, non-intrusive and cost-efficient tool that researchers and policy-makers can use to continuously monitor hiring discrimination, to identify some of the drivers of discrimination and to inform approaches to counter it. An analysis of the search behaviour of recruiters on a Swiss online recruitment platform shows that jobseekers from minority ethnic groups are less likely to be contacted by recruiters, and also provides evidence of gender-based discrimination. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|