RSSE: Teresa Freitas-Monteiro (CERGE-EI) Informing College Students about Gender Gaps in Wage Negotiation
| Start: | Thursday 19. Mar 2026, 12:45 |
|---|---|
| End: | Thursday 19. Mar 2026, 14:15 |
| Event language: | angličtina |
| Place: | RB 436 |
| Online event: | Microsoft Teams |
| Contact person: | Lubomír Cingl |
| Tags: | #doktorandi #phd #phdstudents #research #rsse #seminars #zamestnanci |
It is our pleasure that Teresa Freitas-Monteiro (CERGE-EI) will present on Thursday, March 19, 2026, at 12:45 in room RB436 about the topic “Informing College Students about Gender Gaps in Wage Negotiation”.
Registration is not required and anyone who would like to attend is warmly invited.
It is also possible to participate online via MS Teams at this link. In case of any connection issues, please contact lubomir.cingl@vse.cz.
ABSTRACT: This paper studies the short- and long-run effects of informing college students about gender gaps in wage negotiation. We conduct a randomized controlled trial (RCT) with 6,000 final- year master’s students from 47 German universities shortly before graduation. Participants are randomly assigned to two types of information treatment: a statistics treatment, reporting facts about gender gaps in negotiation, and a role-model treatment, delivering personalized accounts of negotiation experiences by successful professionals. Using follow-up surveys and linked Social Security data to track participants, we find that both treatments significantly increased women’s negotiation intentions, narrowing the baseline gender gaps. Although these effects on intentions translate into only small changes in negotiation behavior, they affect labor market outcomes.
BIO: Teresa Freitas-Monteiro is Assistant Professor of Economics at CERGE-EI in Prague and a Research Affiliate at the University of Copenhagen. Her research focuses on migration, political economy, labour markets, and gender. She studies refugee integration, public attitudes toward immigration, ethnic identity, and immigrant labour market outcomes using administrative and survey data.