Neighborhood poverty and children’s exposure to danger: Examining gender differences in impacts of the Moving to Opportunity experiment

The Moving to Opportunity (MTO) program offered public housing residents in distressed communities a chance to move to low-poverty neighborhoods. The present study examined whether the resulting decline in neighborhood poverty led to lower levels of exposure to danger among children and youth ages 8-19 years old (n = 4606), and specifically, if there was a gender difference that matched the pattern of more beneficial program effects for girls and more adverse affects for boys. The study goes beyond previous research by using fixed effects to control for family factors that may influence moving behavior and confound estimates of gender differences in program impacts. Results showed that children experienced a decline in exposure to danger, with one key gender difference. Models based on brother-sister comparisons indicated that MTO had a more beneficial impact on exposure to drug activity for females than males. The findings suggest that neighborhood poverty is tied to children’s exposure to danger. Moreover, exposure to drug activity may help explain the gender differences in impacts on children’s mental health and risky behavior.     

Social closure,micro‐class immobility and the intergenerational reproduction of the upper class: a comparative study

This article assesses how processes of social closure enhance intergenerational immobility in the regulated professions and thus promote persistence at the top of the occupational hierarchy. We compare four European countries (GB, Germany, Denmark and Sweden) that differ considerably in their degree of professional regulation and in their broader institutional arrangements. We run log‐linear and logistic regression models on a cumulative dataset based on three large‐scale surveys with detailed and highly comparable information at the level of unit occupations. Our analyses indicate that children of licensed professionals are far more likely to inherit the occupation of their parents and that this stronger micro‐class immobility translates into higher chances of persistence in the upper class. These results support social closure theory and confirm the relevance of a micro‐class approach for the explanation of social fluidity and of its cross‐national variations. Moreover, we find that, when children of professionals do not reproduce the micro‐class of their parents, they still display disproportionate chances of persistence in professional employment. Hence, on the one hand, processes of social closure erect barriers between professions and fuel micro‐class immobility at the top. On the other hand, the cultural proximity of different professional groups drives intense intergenerational exchanges between them. Our analyses indicate that these micro‐ and meso‐class rigidities work as complementary routes to immobility at the top.     

Why have relative rates of class mobility become more equal among women in Britain?

In a previous paper it has been shown that across three cohorts of men and women born in Britain in 1946, 1958 and 1970 a gender difference exists in regard to relative rates of class mobility. For men these rates display an essential stability but for women they become more equal. The aim of the present paper is to shed light on the causes of this trend—or, that is, of increasing social fluidity—among women. We begin by considering a refined version of the perverse fluidity hypothesis: that is, one that proposes that part‐time work leads to increasing downward worklife mobility among women that also entails downward intergenerational mobility and thus promotes greater fluidity. We do in fact find that the increase in fluidity is very largely, if not entirely, confined to women who have had at least one period of part‐time work. However, a more direct test of the hypothesis is not supportive. We are then led to investigate whether it is not that part‐time working itself is the crucial factor but rather that women who subsequently work part‐time already differ from those who do not at entry into employment. We find that eventual full‐ and part‐timers do not differ in their class origins nor, in any systematic way, in their educational qualifications. But there is a marked and increasing difference in the levels of employment at which they make their labour market entry. Eventual part‐timers are more likely than eventual full‐timers to enter in working‐class positions, regardless of their class origins and qualifications. Insofar as these women are from more advantaged origins, they would appear not to seek to exploit their advantages to the same extent as do full‐timers in order to advance their own work careers. And it is, then, in the downward mobility accepted by these women—who increase in number across the cohorts—that we would locate the main source of the weakening association between class origins and destinations that is revealed among women at large.     

Moving Up and Down the Ladder: Perceived Social Mobility and Emotional Dispositions Among South Florida's Immigrants

Migrating to a new country is often associated with difficulties such as social isolation, financial strain, language barriers, and cultural differences. Less is known about how social mobility brought about by migration may be related to the emotional dispositions of immigrants (also referred to as subjective well‐being). To examine this relationship, we utilize data from a representative sample of 1,268 first‐generation immigrants from 80 different countries living in South Florida. Changes in perceived social mobility between the homeland and the United States—moving up and down the socioeconomic ladder—are indeed associated with differences in immigrants' negative dispositions. We draw from literature on expectations, social comparisons, and subjective class status to explain these findings. We do not find a statistically significant association between changes in socioeconomic status and positive dispositions, which may suggest that losses outweigh migration‐related gains. Additionally, findings reveal that nondominant groups fare worse than Cubans (the dominant group in the region) with regard to dispositions. Social comparisons to the dominant ethnic group may explain this, as well as perceptions of relative deprivation experienced by groups not favored by immigration policies and underrepresented in social and economic institutions. We conclude by discussing implications on how negative emotional dispositions represent risk factors that could affect immigrants' mental health.     

Social unrest and the Highway Beautification Act of 1965

The recent series of very senseless shootings of both African American males and police officers are chilling visual demonstrations of the current degree of racial tension and social unrest in the United States. Stricter gun control laws are critically important but only part of the issue. Basic human and civil rights are at the heart of the issue. We must move toward a society in which individuals from varied backgrounds are valued, respected, and included. We must all accept the fact that we are all human beings and very much alike. This will require a national effort very similar to the Highway Beautification Act of 1965. We must adopt and implement policies that will specifically address multiple issues (discrimination, racism, marginalization, exclusion, implicit bias, and the lack of economic mobility) serving as drivers of our current social state. A key component should be increased investment in the educational system (starting in primary school) resulting in an increased college graduation rate and the development of curricula on race and racism and supporting cultural sensitivity and implicit bias training from kindergarten through professional schools.     

The characterization of Monte Carlo errors for the quantification of the value of forensic evidence

Recent developments in forensic science have lead to a proliferation of methods for quantifying the probative value of evidence by constructing a Bayes Factor that allows a decision-maker to select between the prosecution and defense models. Unfortunately, the analytical form of a Bayes Factor is often computationally intractable. A typical approach in statistics uses Monte Carlo integration to numerically approximate the marginal likelihoods composing the Bayes Factor. This article focuses on developing a generally applicable method for characterizing the numerical error associated with Monte Carlo integration techniques used in constructing the Bayes Factor. The derivation of an asymptotic Monte Carlo standard error (MCSE) for the Bayes Factor will be presented and its applicability to quantifying the value of evidence will be explored using a simulation-based example involving a benchmark data set. The simulation will also explore the effect of prior choice on the Bayes Factor approximations and corresponding MCSEs.     

Objective Bayesian hypothesis testing in regression models with first-order autoregressive residuals

This article considers the objective Bayesian testing in the normal regression models with first-order autoregressive residuals. We propose some solutions based on a Bayesian model selection procedure to this problem where no subjective input is considered. We construct the proper priors for testing the autocorrelation coefficient based on measures of divergence between competing models, which is called the divergence-based (DB) priors and then propose the objective Bayesian decision-theoretic rule, which is called the Bayesian reference criterion (BRC). Finally, we derive the intrinsic test statistic for testing the autocorrelation coefficient. The behavior of the Bayes factor-based DB priors is examined by comparing with the BRC in a simulation study and an example.     

Bayesian analysis for confirmatory factor model with finite-dimensional Dirichlet prior mixing

Confirmatory factor analysis (CFA) model is a useful multivariate statistical tool for interpreting relationships between latent variables and manifest variables. Often statistical results based on a single CFA are seriously distorted when data set takes on heterogeneity. To address the heterogeneity resulting from the multivariate responses, we propose a Bayesian semiparametric modeling for CFA. The approach relies on using a prior over the space of mixing distributions with finite components. Blocked Gibbs sampler is implemented to cope with the posterior analysis. Results obtained from a simulation study and a real data set are presented to illustrate the methodology.     

Status Traps

In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into “status traps.” Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts.