Loading…

Loading grant details…

Active HORIZON European Commission

Nonwage attributes, gender, and the future of work

€1.57M EUR

Funder European Commission
Recipient Organization University of Hamburg
Country Germany
Start Date Jan 01, 2024
End Date Dec 31, 2028
Duration 1,826 days
Number of Grantees 2
Roles Coordinator; Associated Partner
Data Source European Commission
Grant ID 101086717
Grant Description

Digital technologies, the Covid crisis, rising incomes, and changing work attitudes all contribute to the recent increase in the importance of certain nonmonetary aspects of work - most prominently flexibility and work meaning. What does this mean for gender differences on the labor market and for the future of work?

MORETHANMONEY will integrate flexibility and work meaning into the theory and empirics of family labor supply and retirement choices.

In three subprojects, I will develop models that combine behavioral, labor and family economics, collect unique data sets that combine administrative, survey and experimental parts, and use structural and reduced-form estimation techniques.

A) I will use models of collective labor supply and newly collected data to analyze the choice of hours worked, flexibility, and time spent with children at the family-level. Choosing flexibility may reduce wages and decision power and thus affect the distribution of family resources.

A hidden cost of recent policies aimed at increasing flexibility may be that wages and bargaining power of women decrease.

B) I will combine the labor economics (flexibility) with the behavioral (meaning of work) perspective and collect data on trade-offs between meaning, flexibility, and wages consistently in several countries.

Choosing occupations and sectors with high meaning (like health and education) may restrict the flexibility choice and force women to reduce their labor supply. C) I will take the long-term perspective.

While wages translate into retirement incomes, nonwage attributes do not, but they may cause an increase in labor supply.

I will model and collect data on trade-offs between wages, hours worked, and nonwage attributes and estimate their effect on retirement decisions over the life cycle. This will greatly increase our understanding of the large differences in retirement incomes between men and women.

All Grantees

University of Hamburg; Katholieke Universiteit Leuven

Advertisement
Apply for grants with GrantFunds
Advertisement
Browse Grants on GrantFunds
Interested in applying for this grant?

Complete our application form to express your interest and we'll guide you through the process.

Apply for This Grant