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Work in progress

Gender inequalities in the pandemic (as a part of COVID-19 and Inequality – Surveys Program) 

(with Luna Bellani , University of Konstanz and Susanne Strauss, University of Konstanz) 

The module studies how the pandemic is related to decision making in the German households. It is replicated in the ResPOnsE Covid-19 survey of the University of Milano Statale, which enables cross-country comparison between Germany and Italy. The following questions are asked:  Are reduced incomes and changing employment situations, particularly if they come at the cost of women’s earnings, associated with gender inequality in the household division of labour, care and leisure (e.g women take up the larger burden of household and family work)? How is the pandemic related to changes in control over money in the household? What are the ultimate consequences for woman’s and men’s satisfaction with life, their mental well-being and feelings of financial security?  

Project partner: G. Dotti Sani (University of Milan)

Gender inequalities in academia: Biases in hiring or promotion? (formerly financed by the EUI research council) 

(with Klarita Gërxhani, EUI and Fabienne Liechti, University of Lausanne)

Given a relatively equal share of women and men at the PhD level, there is a dramatic decrease of women’s representation in higher stages of academic career (European Commission 2015). In this project, we study whether and how the demand-side processes contribute to this decrease by examining two forms of possible gender bias in academia: direct bias in screening processes through selectors’ decisions and indirect bias through reliance on networks that may operate differently for men and women. We test these mechanisms through a factorial survey experiment on two types of professional engagement: entrance into assistant professorships and internal promotion to full professorship.

Project partners: A. Rusconi (WZB) and H. Solga (WZB)

Gender pay gaps in relation to field of studies: care-technical divide through observational data and experimental approach (formerly supported by The  Cluster “Politics of Inequality”) 

The project explores the care-technical divide in fields of study in terms of its consequences for labour market opportunities of men and women. It relies on complementary methods to study gender gaps in relation to field of study: the analysis of observational data drawn from large national surveys and experimental evidence from a factorial survey experiment. 

Project partner: D. Galos (University of Konstanz) and Irene Prix (University of Turku).