This paper investigates the effect of 401(k) eligibility on saving. To address the possibility that eligibility correlates across individuals with their unobserved tastes for saving, I examine a change in eligibility: some individuals are initially ineligible for their 401(k) but become eligible when they have worked at their firm long enough. I find that eligibility raises 401(k) balances. Other financial assets and net worth respond insignificantly to eligibility, but the confidence intervals do not rule out substantial responses. In response to eligibility, IRA assets increase, consistent with a “crowd-in” hypothesis, and accumulation of cars decreases.

A variety of instruments have been published over recent years that improve clinicians’ ability to forecast the likelihood that an individual will behave violently. Increasingly, these instruments are being applied in response to laws that require specialized risk assessments. In this article, we present a framework that goes beyond the "clinical" and "actuarial" dichotomy to describe a continuum of structured approaches to risk assessment. Despite differences among them, there is little evidence that one validated instrument predicts violence better than another. We believe that these group-based instruments are useful for assessing an individual’s risk, and that an instrument should be chosen based on an evaluation’s purpose (i.e., risk assessment vs. risk reduction). The time is ripe to shift attention from predicting violence to understanding its causes and preventing its (re)occurrence.

In the early 2000s, a highly selective university introduced a “no-loans” policy under which the loan component of financial aid awards was replaced with grants. We use this natural experiment to identify the causal effect of student debt on employment outcomes. In the standard life-cycle model, young people make optimal educational investment decisions if they are able to finance these investments by borrowing against future earnings; the presence of debt has only income effects on investment decisions. We find that debt causes graduates to choose substantially higher-salary jobs and reduces the probability that students choose low-paid “public interest” jobs. We also find some evidence that debt affects students' academic decisions during college. Our estimates suggest that recent college graduates are not life-cycle agents. Two potential explanations are that young workers are credit constrained or that they are averse to holding debt. We find suggestive evidence that debt reduces students' donations to the institution in the years after they graduate and increases the likelihood that a graduate will default on a pledge made during her senior year; we argue this result is more likely consistent with credit constraints than with debt aversion.

This paper investigates the extent and ways in which childhood family and neighborhood quality influence later-life health outcomes. The study analyzes the health trajectories of children born between 1950 and 1970 followed through 2005. Data from the Panel Study of Income Dynamics (PSID) spanning four decades are linked with information on neighborhood attributes and school quality resources that prevailed at the time these children were growing up.

There are several key findings. First, estimates of sibling and child neighbor correlations in health are used to bound the proportion of inequality in health status in childhood through mid-life that are attributable to childhood family and neighborhood quality. Estimates based on four-level hierarchical random effects models (neighborhoods, families, individuals, over time) consistently show a significant scope for both childhood family and neighborhood background (including school quality). The results imply substantial persistence in health status across generations that are linked in part to low intergenerational economic mobility. Sibling correlations are large throughout at least the first 50 years of life: roughly three-fifths of adult health disparities may be attributable to family and neighborhood background. Childhood neighbor correlations in adult health are also substantial (net of the similarity arising from similar family characteristics), suggesting that disparities in neighborhood background account for more than one-third of the variation in health status in mid life.