We describe how to accurately estimate poverty rates using data from the Panel Study of Income Dynamics (PSID) because changes in the PSID over its 40-year history have created confusion for researchers. We benchmark a new PSID poverty estimate with published rates from the U.S. Census Bureau's Current Population Surveys (CPS). We demonstrate that our PSID poverty estimates comprise a consistent time series that is similar to the Census Bureau's official time series. For example, the correlation between the PSID and Census poverty rates using one of the two currently available PSID thresholds is only 0.46 over the 1967-2004 period, and 0.73 when made comparable to the Census following PSID guidelines. Our new PSID threshold has a correlation of 0.83 over this period. The second PSID threshold is only available from 1989 onwards; it yields poverty rates that have a correlation of 0.96 with Census rates, about the same as the correlation when our new methods are used for these years.

Using data from the Panel Study of Income Dynamics (PSID) from 1968 to 2005, we estimate the cumulative probability that young adults in the United States will receive food stamps during adulthood, and examine how that probability varies with an individual's income and education at age 25 as well as by race and gender. We find that the probability of first food stamp receipt as an adult declines sharply with age, indicating that most adult recipients do so by age 40. Also, those receiving food stamps in early adulthood are likely to receive them again. For these reasons, and because food stamp receipt is a repeatable event, life table analyses that include individuals who are not observed until after they become exposed to the risk of food stamp receipt (whom we label "late entrants") are likely to overstate cumulative participation during adulthood. For example, one often-cited study included individuals who enter their sample after age 20 (late entrants) and report that 50.8% of 20-year-olds are recipients by age 65. In contrast, when we exclude late entrants, we find that 39.2% of 20-year-olds and 29.7% of 25-year-olds receive benefits during adulthood.

We use longitudinal data from the National Income Dynamics Study to document the extent of recent short-term residential and household compositional change in South Africa. We analyse the demographic correlates of these transitions, including population group, age, urban/rural status, and income. We examine educational and labour-market transitions among movers and the prevalence of the four major types of compositional change -births, addition of joiners, deaths, and loss of leavers. We find that short-term household change is prevalent in South Africa. During a two-year period from 2008 to 2010, 10.5% of South Africans moved residence and 61.3% experienced change in household composition. We find that moving is more common among blacks and whites, very young children, young adults, urban individuals, and those with higher incomes. Among non-movers, compositional change is more likely for blacks and coloureds, young adults and children, females, urban individuals, and individuals with lower incomes.

Although the association between siblings’ compositional characteristics and educational performance has been extensively studied, the question of whether the features of a sibling group are related to substantive gendered educational preferences has not been examined. Our analysis of the National Longitudinal Survey of Youth 1979 cohort (NLSY-79) Mothers and Children Files (N = 1545; 57% young women; 22% STEM major) showed that siblings’ compositional characteristics matter for STEM major preferences in college, but only for young women. Our findings indicated that women were more likely to prefer a STEM major if they were raised in smaller sibling groups, in male sibling group dominance, and if they had an older sister with high math achievement. These results are in line with the resource dilution approach; they shed light on the effects of being in a normative male-role sibling group climate; and they suggest that gendered outcomes are shaped by the interplay of role modeling and same-gender competitive stimulation. We also found that for young men, their preference for majoring in a STEM field was mostly driven by their own math ability. These findings suggest that socialization experiences that operate on the sibling level play a crucial role in whether girls become interested in and pursue “gender-atypical” educational choices. Our findings also underscore the need to differentiate these theoretical approaches by gender, particularly when applied to gendered outcomes such as STEM career trajectories.