Frontiers in Social and Behavioral Science features new research in the flagship journals of the Social Science Research Council’s founding disciplinary associations. Every month we publish a new selection of articles from the most recent issues of these journals, marking the rapid advance of the frontiers of social and behavioral science.
In randomized experiments, providing housing search assistance increased the probability that low-income housing voucher recipients moved to higher-opportunity neighborhoods.
Low-income families often live in low-upward-mobility neighborhoods. We study why by using a randomized trial with housing voucher recipients that provided information, financial support, and customized search assistance to move to high-opportunity neighborhoods. The treatment increased the fraction moving to high-upward-mobility areas from 15 to 53 percent. A second trial reveals this treatment effect is driven primarily by customized search assistance. Qualitative interviews show that the intervention relaxed bandwidth constraints and addressed family-specific needs. Our findings imply many low-income families do not have strong preferences to stay in low-opportunity areas and that barriers in housing search significantly increase residential segregation by income.
In analyses leveraging the idiosyncratic timing and location of police killings, exposure to police violence led to significant increases in registration and voting among Black and Hispanic citizens.
Roughly a thousand people are killed by American law enforcement officers each year, accounting for more than 5% of all homicides. We estimate the causal impact of these events on civic engagement. Exploiting hyperlocal variation in how close residents live to a killing, we find that exposure to police violence leads to significant increases in registrations and votes. These effects are driven entirely by Black and Hispanic citizens and are largest for killings of unarmed individuals. We find corresponding increases in support for criminal justice reforms, suggesting that police violence may cause voters to politically mobilize against perceived injustice.
In analyses leveraging panel data, increases in work experience in lower-wage jobs increased mobility to higher-wage jobs with related skill requirements.
Does working in a low-wage job lead to increased opportunities for upward mobility, or is it a dead-end that traps workers? In this article, we examine whether low-wage jobs are “stepping-stones” that enable workers to move to higher-paid jobs that are linked by institutional mobility ladders and skill transferability. To identify occupational linkages, we create two measures of occupational similarity using data on occupational mobility from matched samples of the Current Population Survey (CPS) and data on multiple dimensions of job skills from the O*NET. We test whether work experience in low-wage occupations increases mobility between linked occupations that results in upward wage mobility. Our analysis uses longitudinal data on low-wage workers from the 1979 National Longitudinal Study of Youth (NLSY) and the 1996 to 2008 panels of the Survey of Income and Program Participation (SIPP). We test the stepping-stone perspective using multinomial conditional logit (MCL) models, which allow us to analyze the joint effects of work experience and occupational linkages on achieving upward wage mobility. We find evidence for stepping-stone mobility in certain areas of the low-wage occupational structure. In these occupations, low-wage workers can acquire skills through work experience that facilitate upward mobility through occupational changes to skill and institutionally linked occupations.
A consideration of alternative strategies to address covariate missingness in randomized experiments and a recommendation to include missingness indicators when estimating average treatment effects.
Randomized experiments allow for consistent estimation of the average treatment effect based on the difference in mean outcomes without strong modeling assumptions. Appropriate use of pretreatment covariates can further improve the estimation efficiency. Missingness in covariates is nevertheless common in practice, and raises an important question: should we adjust for covariates subject to missingness, and if so, how? The unadjusted difference in means is always unbiased. The complete-covariate analysis adjusts for all completely observed covariates, and is asymptotically more efficient than the difference in means if at least one completely observed covariate is predictive of the outcome. Then what is the additional gain of adjusting for covariates subject to missingness? To reconcile the conflicting recommendations in the literature, we analyze and compare five strategies for handling missing covariates in randomized experiments under the design-based framework, and recommend the missingness-indicator method, as a known but not so popular strategy in the literature, due to its multiple advantages. First, it removes the dependence of the regression-adjusted estimators on the imputed values for the missing covariates. Second, it does not require modeling the missingness mechanism, and yields consistent estimators even when the missingness mechanism is related to the missing covariates and unobservable potential outcomes. Third, it ensures large-sample efficiency over the complete-covariate analysis and the analysis based on only the imputed covariates. Lastly, it is easy to implement via least squares. We also propose modifications to it based on asymptotic and finite sample considerations. Importantly, our theory views randomization as the basis for inference, and does not impose any modeling assumptions on the data-generating process or missingness mechanism. Supplementary materials for this article are available online.
The demands of reproductive fitness may have limited the time that women allocated to the physically challenging occupation of hunting in subsistence societies.
A recent article by Ocobock and Lacy (Ocobock & Lacy, 2023) argues that human females are “just as, if not more, capable as males at performing arduous physical tasks” and therefore likely to have “meaningfully engaged in hunting during our evolutionary past.” This is a direct challenge to the (generally accepted) canon that gendered subsistence activities are a key feature of the human ecological niche, with men typically contributing more to subsistence via endurance hunting and women through plant and small-prey foraging and other activities more compatible with women's reproductive roles and energetic trade-offs. In support of their argument, Ocobock and Lacy provide a comprehensive and novel review of the aspects of women's skeletal, muscular, and hormonal biology that may confer greater cardiometabolic protection and even enhanced athletic endurance and recovery capabilities relative to men. We agree with the authors that women have been woefully underrepresented in exercise physiology studies, and we hope that their review motivates further research into previously unexamined variation in women's physiological and athletic abilities.
Launched in 1996, the 26 years of digitally archived content in the Internet Archive, freely accessible through the Wayback Machine, provides a valuable resource for historians.
The news has been called “the first draft of history,” yet news publishers have usually left it to libraries and archives to collect, organize, and preserve the news they print. Libraries thus serve the essential societal role of ensuring that these materials are available to future generations of historians to make sense of the past. The nonprofit Internet Archive is a new kind of library built for the task of collecting the vast and various sources of news and providing free access to researchers, historians, scholars, people with print disabilities, and the general public via the internet. This article will briefly describe the Internet Archive’s efforts to collect, preserve, organize, and make available the content of newspapers, past and present.
A replication of a test of the contact hypothesis in a different panel data setting supports the original study’s finding that outgroup contact does not affect outgroup bias.
Intergroup contact has long been touted as a premier means to reduce prejudice and forge positive bonds with outgroups. Given its origins in psychological research, it is perhaps of little surprise that contact is expected to induce change within people over time. Yet using random-intercepts crossed-lagged modeling that parses within-person from between-person effects, Sengupta et al. (2023) recently found no evidence of within-person change, only unexplained between-person effects, regarding contact’s effects on outgroup solidarity in New Zealand. We conceptually replicated their study, focusing on modern racism and an affect thermometer as the outcomes, in a three-wave study of White British participants (NT1 = 946, NT2 = 667, NT3 = 591) and their attitudes toward foreigners. We replicated the general pattern described by Sengupta and colleagues, confirming between-person effects without within-person effects, suggestive of third-variable explanations. As a novel finding, we discover that differences in social dominance orientation (SDO) and right-wing authoritarianism (RWA) can account for the observed between-person effects. Problematically for contact theory, contact effects, at least those relying on self-reported accounts, increasingly appear to reflect differences between people (person factors) rather than being context-driven (situation factors)—such that those lower (vs. higher) in SDO and RWA are more favorable toward outgroups, rather than intergroup contact bringing about positive outcomes itself. Implications for theory development and intervention are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved)