This paper studies quantitative importance of accidental versus intended bequests. Bequests are decomposed into accidental and intended components by comparing the implications of a standard life-cycle model under alternative assumptions about bequest motives. The main finding is that accidental...

A large empirical literature investigates the link between "openness" and growth. Cross-country observations suggest that (i) "openness" enhances growth by increasing a country's rate of investment, and (ii) variables related to equipment investment are robustly and strongly correlated with...

This article argues that a satisfactory theory of wealth inequality should account not only for the marginal distribution of wealth, but also for the joint distribution of wealth and earnings. The article describes the joint distribution of retirement wealth and lifetime earnings in the Panel...

This paper investigates the role of discount rate heterogeneity for wealth inequality. The key idea is to infer the distribution of preference parameters from the observed age profile of wealth inequality. The contribution of preference heterogeneity to wealth inequality can then be measured...

Numerous public policies are aimed at improving the earnings opportunities for children of the poor and at reducing lifetime earnings inequality. This paper investigates to what extent such policies accomplish their objectives. A quantitative theory of intergenerational mobility and lifetime...

This paper estimates the effect of graduating from college on lifetime earnings. Motivated by the fact that nearly half of all college students fail to earn a bachelor’s degree, we study a model of risky college completion. The central idea is that students drop out of college mainly because...

This paper studies the effect of graduating from college on lifetime earnings. We develop a quantitative model of college choice with uncertain graduation. Departing from much of the literature, we model in detail how students progress through college. This allows us to parameterize the model...