Twenty-first century skills for students: hands-on learning after school builds school and life success

At the core of the movement for twenty-first century skills are students. The growing efforts to increase programs leveraging out-of-school time are focused on giving American youth everything they need to compete in this increasingly complex world. The author is one of many students who have been well served by initiatives imparting twenty-first century skills during after-school hours. Now a senior at Boston Latin School, the author has been helped along the way by Citizen Schools, an after-school education program focused on hands-on learning apprenticeships and homework help. While enrolled in the program as a middle school student, the author took part in projects that exemplified hands-on, inquiry-based learning that helped her develop twenty-first century skills. For example, along with dozens of other students, she advanced her data analysis skills by analyzing statistics about Boston Public high schools, which also helped her select and enroll in one of the city's premier exam schools. Also, she and her peers worked with corporate attorneys who served as writing coaches and whose expertise the author drew from in producing a published essay and greatly improving her writing skills. The author now finds that the public speaking, leadership, organizational, social, and management abilities she built through her participation in Citizen Schools are a great asset to her in high school. The confidence with which she tackles her responsibilities can also be traced back to her experiences in the program. As she looks toward college, the author reflects and realizes that being actively involved in a quality after-school program put her on track for a successful future.     

Correction to: Comparison of joint control schemes for multivariate normal i.i.d. output

AStA Advances in Statistical Analysis - In the original paper, we incorrectly stated that...     

THE EFFECT OF INSURANCE COVERAGE ON PREVENTIVE CARE

Despite the growth in health insurance products that differentially cover preventive care and nonpreventive care, little is known about how preventive care utilization responds to targeted changes in coverage. Using administrative data from a large company, this paper examines the implementation of an insurance benefit design which differentially increased the price of nonpreventive care while decreasing the price of prevention. Leveraging a difference‐in‐differences research strategy, we find that preventive care utilization did not increase and even declined due to the differential price change. This evidence indicates a meaningful negative cross‐price effect, suggesting that nonpreventive care and preventive care are complements. (JEL I13, I11)     

Technologie,délocalisations et tâches constitutives des professions au Royaume‐Uni

Les auteurs examinent l'évolution des tâches accomplies par les travailleurs au Royaume‐Uni entre 1997 et 2006, qu'elle soit due à une reconfiguration des professions elles‐mêmes (marge intensive) ou à une variation de leur part respective dans l'emploi (marge extensive). Ils se fondent notamment dans cet examen sur des données de la Skills Survey, enquête britannique sur les compétences. Leur analyse montre que la variation à la marge intensive est notable et aussi importante que la variation à la marge extensive. Une analyse économétrique fait ressortir en outre que le progrès technique joue un rôle dans l'évolution à la marge intensive, mais pas les délocalisations.     

Bayesian analysis of censored linear regression models with scale mixtures of normal distributions

As is the case of many studies, the data collected are limited and an exact value is recorded only if it falls within an interval range. Hence, the responses can be either left, interval or right censored. Linear (and nonlinear) regression models are routinely used to analyze these types of data and are based on normality assumptions for the errors terms. However, those analyzes might not provide robust inference when the normality assumptions are questionable. In this article, we develop a Bayesian framework for censored linear regression models by replacing the Gaussian assumptions for the random errors with scale mixtures of normal (SMN) distributions. The SMN is an attractive class of symmetric heavy-tailed densities that includes the normal, Student-t, Pearson type VII, slash and the contaminated normal distributions, as special cases. Using a Bayesian paradigm, an efficient Markov chain Monte Carlo algorithm is introduced to carry out posterior inference. A new hierarchical prior distribution is suggested for the degrees of freedom parameter in the Student-t distribution. The likelihood function is utilized to compute not only some Bayesian model selection measures but also to develop Bayesian case-deletion influence diagnostics based on the q-divergence measure. The proposed Bayesian methods are implemented in the R package BayesCR. The newly developed procedures are illustrated with applications using real and simulated data.     

The influence of the tasks characteristics in physical performance and psychosocial aspects of workers

The work and life conditions have influence on the health and life quality of workers. Physically active persons can demonstrate a life style that are and affect the physical performance, psychosocial aspects and work capacity. The purpose of this study was to investigate the physical activity level and work capacity in different tasks characteristics, one with more physical exertion and other with more cognitive exertion. A total of 193 workers from an institution of higher education and 457 workers from a metallurgical industry participated in the current study. All participants completed the International Physical Activity Questionnaire (IPAQ-short) and Work Ability Index (WAI). The results indicated that both groups were classified as having high level of physical activity while only few of them were considered sedentary (less than 27%). However, the group of metallurgical workers had greater indices (82%) than the workers from higher education institution (74%). Overall, the workers reported their work ability as moderate to excellent, suggesting that overall they are satisfied with their working and health conditions. It can be concluded that even though workers performed tasks with different demands (cognitive versus physical), they demonstrated similar level of physical activity as well as work ability.     

Unemployment Duration and Disability: Evidence from Portugal

This paper studies the relationship between having a disability and unemployment duration by focusing on individuals registered at Portuguese job centers. Despite its relevance, because disabled people are likely to occupy disadvantaged positions in the labor market, it has received little attention in the literature. As different disabilities affect unemployment duration differently, we distinguish different types of disabilities and shed light on disability-specific support policies. We apply a discrete time hazard model with unobserved heterogeneity to microdata from the Instituto do Emprego e Formação Profissional, which are free from self-reporting problems in disability identification. We find lower reemployment probabilities for many groups of disabled people: individuals with impairment in general functions, disfiguring, speech and visual disorders, muscle-skeletal and other organ impairments experience the more disadvantaged positions. Decomposition analysis indicates that part of the disadvantage is due to differences in returns rather than to differences in characteristics. These findings suggest that the disadvantage of disabled people in the labor market is not only explained by a different distribution of characteristics but especially by the interaction of their characteristics with the work environment. Policy implications are discussed.     

Does inflation targeting matter for output growth? Evidence from industrial and emerging economies

This paper examines the effects of inflation targeting (IT) on output growth over the “globalization years” of 1986-2004. Employing static panel data methods that control for traditional growth determinants, trade openness and financial globalization, the paper finds that the adoption of a fully fledged IT regime results in higher output income per capita for industrial and emerging economies. However, under dynamic model specifications, the estimated long-run output impact of inflation targeting for emerging market economies is found to be lower than in the case of static models. We argue that this might be due to the long lags until the full effects of greater credibility are felt in the real economy and the fact that emerging market economies adopted the regime much later than industrial economies.