This paper examines the sources of differences in social mobility between the U.S. and Denmark. Measured by income mobility, Denmark is a more mobile society, but not when measured by educational mobility. There are pronounced nonlinearities in income and educational mobility in both countries....

Efforts to document long-term trends in socioeconomic mobility in the United States have been hindered by the lack of large, representative datasets that include information linking parents to their adult children. This problem has been especially acute for women, who are more difficult to link...

Recent research has uncovered large spatial heterogeneity in intergenerational mobility across neighborhoods in countries around the world. Yet there is little consensus on the reasons why mobility is high in some neighborhoods and low in others. This paper analyzes a generalized mobility model...

We study the dynamics of the distribution of overlapping generation economy with finitely lived agents and inter-generational transmission of wealth. Financial markets are incomplete, exposing agents to both labor income and capital income risk. We show that the stationary wealth distribution is...

This paper studies how exclusive social groups shape upward mobility, and whether interactions between low- and high-status peers can integrate the top rungs of the economic and social ladder. Our setting is Harvard in the 1920s and 1930s, where new groups of students arriving on campus...

This paper attempts to quantitatively identify the factors that drive wealth dynamics in the U.S. and are consistent with its observed skewed cross-sectional distribution and social mobility. We concentrate on three critical factors: a skewed and persistent distribution of earnings, differential...

This paper presents a new approach to measuring the intergenerational transmission of well-being and a novel perspective on which measures and what age ranges to use to estimate intergenerational social mobility. We select the measures and the age ranges that best predict important human capital...