This program emphasizes the multidimensional character of inequality. We integrate the analysis of several central welfare dimensions and study how they cross-cut each other and co-evolve. Our approach is dynamic, following the development of e.g., economic resources, education, health and well-being across individual lives and generations.
These two programs include theoretical as well as empirical research. I give examples of a first set of projects in the two programs, which will be carried out by twelve different collaborators in the U.S., Europe, and Sweden.
SWECOV is the Swedish Register-based Research Project on COVID-19. SWECOV is a multidisciplinary research collaboration focused on using quantitative methods and comprehensive register data about the whole Swedish population to answer important questions about the consequences of the pandemic.
A dataset to study the causal effects of university education, exploiting a statistical technique called regression discontinuity. I study the returns to education (in terms of earnings and wealth), educational spillovers between siblings and across generations, and how university education can influence health and social preferences.