Daniel Kopp

Last Name

Kopp

First Name

Daniel

ORCID

0000-0002-4023-865X

Organisational unit

06337 - KOF FB Arbeitsmarktökonomie / KOF FB Labour Market Economics

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Publications1 - 10 of 41

Monitoring recruiters at work: determinants of ethnic discrimination on an online recruitment platform
Kopp, Daniel; Siegenthaler, Michael; Hangartner, Dominik (2019)
Do Recruiters Penalize Men Who Prefer Low Hours? Evidence from Online Labor Market Data (keynote)
Kopp, Daniel (2023)
Adapting to Scarcity: Job Search and Recruiting Across Occupational Boundaries
Siegenthaler, Michael; Lalive, Rafael; Kläui, Jeremias; et al. (2024)
Adapting to Scarcity: The Role of Firms in Occupational Transitions
Klaeui, Jeremias; Kopp, Daniel; Lalive, Rafael; et al. (2025)
Monitoring recruiters at work: determinants of ethnic discrimination on an online recruitment platform
Hangartner, Dominik; Kopp, Daniel; Siegenthaler, Michael (2019)
Monitoring hiring discrimination through online recruitment platforms
Hangartner, Dominik; Kopp, Daniel; Siegenthaler, Michael (2021)
Nature
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.
Online-Daten offenbaren Diskriminierung bei der Rekrutierung
Kopp, Daniel; Siegenthaler, Michael; Hangartner, Dominik (2021)
Terra cognita, Schweizer Zeitschrift zu Integration und Migration
Auch auf dem Schweizer Arbeitsmarkt geht es bei der Rekrutierung nicht ausschliesslich um die Qualifikation der Stellensuchenden. Herkunft und Geschlecht spielen ebenfalls eine wichtige Rolle. Die Analyse des Rekrutierungsverhaltens tausender Personalverantwortlicher auf einer Online Arbeitsmarktplattform zeigt, dass die Diskriminierung unter anderem von der Tageszeit abhängt und Frauen in Männer- sowie Männer in Frauenberufen diskriminiert werden.
Swiss Job Tracker: New Weekly Indices of Online Job Postings in Switzerland
Bannert, Matthias; Kläui, Jeremias; Kopp, Daniel; et al. (2022)
The Role of Wages and Fringe Benefits in Job Search
Kopp, Daniel (2024)
Die Lohnrunde 2023 im Zeichen des Fachkräftemangels
Kopp, Daniel (2023)
Lohnbuch 2023

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Daniel Kopp

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