Disability among children of immigrants from India and China: Is there excess disability among girls?

We investigate whether there is excess morbidity among daughters of Indian or Chinese immigrants in the US by studying the prevalence of disability among children. We use data from the 2012–14 American Community Surveys on approximately 20,000 US-born children of Indian and Chinese immigrants. Children of US natives are used as a comparison group to account for innate differences in disability between the sexes. Results indicate that there is excess disability among daughters compared with sons among children of Chinese immigrants and children of immigrants from northern or western Indian states; this excess disability declines with younger age at arrival or longer exposure to the host country. Analysis using children of Filipino immigrants as an alternative comparison group yields similar excess disability rates for females.

Supplementary material is available for this article at: https://doi.org/10.1080/00324728.2020.1762911     

The truncated generalized poisson distribution and its estimation

A discrete probability model always gets truncated during the sampling process and the point of truncation depends upon the sample size. Also, the generalized Poisson distribution cannot be used with full justification when the second parameter is negative. To avoid these problems a truncated generalized Poisson distribution is defined and studied. Estimation of its parameters by moments method, maximum likelihood method and a mixed method are considered. Some examples are given to illustrate the effect on the parameters’ estimates when a non-truncated GPD is used instead of a truncated GPD.     

Additive mixed models with Dirichlet process mixture and P-spline priors

Longitudinal data often require a combination of flexible time trends and individual-specific random effects. For example, our methodological developments are motivated by a study on longitudinal body mass index profiles of children collected with the aim to gain a better understanding of factors driving childhood obesity. The high amount of nonlinearity and heterogeneity in these data and the complexity of the data set with a large number of observations, long longitudinal profiles and clusters of observations with specific deviations from the population model make the application challenging and prevent the application of standard growth curve models. We propose a fully Bayesian approach based on Markov chain Monte Carlo simulation techniques that allows for the semiparametric specification of both the trend function and the random effects distribution. Bayesian penalized splines are considered for the former, while a Dirichlet process mixture (DPM) specification allows for an adaptive amount of deviations from normality for the latter. The advantages of such DPM prior structures for random effects are investigated in terms of a simulation study to improve the understanding of the model specification before analyzing the childhood obesity data.     

Perceived consequences of hazing exposure during the first year of college: Associations with childhood victimization

Objective: This study investigates the association between histories of childhood victimization and perceived consequences of college hazing. Participants: First-year college students at four US universities (N?=?120). Method: Participants completed Web-based surveys asking about childhood victimization (eg, child maltreatment), peer victimization, and perceived consequences of hazing during college. Results: Results indicated that college students with childhood victimization histories perceived hazing to be negative. In particular, physical dating violence and a greater total number of childhood victimization exposures were related to a higher number of perceived negative consequences. Conclusion: Past victimization exposures confer risk on college students who experience hazing, in that these students are more likely to perceive negative consequences of hazing. Hazing-related policies and outreach efforts should consider these potential negative consequences, and counselors should be aware of the link between past victimization and how hazing might be experienced.     

PUBLIC INFRASTRUCTURE MAINTENANCE AND THE DISTRIBUTION OF WEALTH

When considering how to allocate scarce resources for the development of public infrastructure, many countries have a tendency to neglect maintenance in favor of new infrastructure investment projects. We examine the role of maintenance expenditures on output and on the distribution of wealth in a heterogeneous agents model. In our model, maintenance affects the quality of existing infrastructure and thus the flow of services derived from it. Furthermore, maintenance expenditures also affect the depreciation rates of both public infrastructure and private capital. We calibrate our model to Mexico and consider several policies that increase the flow of resources to infrastructure and find that a policy that allocates all additional resources to new investment is dominated by policies that allocate at least some of the additional resources to maintenance. Specifically, focusing all additional resources on maintenance is shown to generate the largest reduction in inequality, while a more balanced policy that increases both investment and maintenance maximizes output growth. (JEL E00, E62, H54)     

THE EFFECT OF CENTRAL EXIT EXAMINATIONS ON STUDENT ACHIEVEMENT: QUASI‐EXPERIMENTAL EVIDENCE FROM TIMSS GERMANY

This paper makes use of the regional variation in schooling legislation within the German secondary education system to estimate the causal effect of central exit examinations on student performance. We propose a difference‐in‐differences framework that exploits the quasi‐experimental nature of the German TIMSS middle school sample and discuss its identifying assumptions. The estimates show that students in federal states with central exit examinations clearly outperform students in federal states without such examinations. However, only part of this difference can be attributed to the existence of the central exit examinations themselves. Our results suggest that central examinations increase student achievement by the equivalent of about one‐third of a school year. (JEL: D02, H42, I28)     

Index of Authors Volume 53, 2001

Social Indicators Research -     

Team adaptation triggers: A categorization scheme

In the present study of the journal of Gruppe. Interaktion. Organisation, the purpose was to identify the types of events that activate team adaptive behavior during goal achievement and to provide a roadmap for future research into how team adaptation responses may differ depending on the demands faced. Two hundred and eight engineering students involved in an eight-week team project, participated in our study. They reported, at three time points, 271 events that triggered their team to change their way of functioning. We applied qualitative content analysis to identify the underlying categories of the collected triggers and identified three main categories of internal (interpersonal dynamics, task-related activities, reaching a milestone), and three main categories of external team adaption triggers (change in resources, interventions, alterations in framework), with various subcategories. Our findings demonstrated that team adaptation triggers can stem from the team’s environment and from the team itself. Furthermore, our results suggested that positively connoted events (e.g. achievement of subgoals) as well as negatively connoted events (e.g. loss of a member) are perceived as relevant team adaptation triggers. Our study opens a new avenue for team adaptation theory and research by providing the first categorization scheme of team adaptation triggers. Future studies can from now provide insight into the relationship between trigger features and team adaptation processes, exploring team adaptation success in various contexts.