Young people's decision making involvement and educational attainment

Increasing participation in family decision making is an integral part of adolescent development. This paper uses longitudinal data from four low and middle income countries—Ethiopia, India, Peru and Vietnam—to assess the relationship between young people's involvement in schooling decision making and schooling outcomes. In the pooled sample, compared to young adults who indicate to have no say in educational choices at age 19, adolescents who make these decisions unilaterally or jointly with parents are on average 17%–23% more likely to drop out by age 22. The effects are, however, heterogenous across countries.     

Unveiling the Canvas Ceiling: A Multidisciplinary Literature Review of Refugee Employment and Workforce Integration

Increasing levels of displacement and the need to integrate refugees in the workforce pose new challenges to organizations and societies. Extant research on refugee employment and workforce integration currently resides across various disconnected disciplines, posing a significant challenge for management scholars to contribute to timely and relevant solutions. In this paper, we endeavour to address this challenge by reviewing and synthesizing multidisciplinary literature on refugee employment and workforce integration. Using a relational framework, we organize our findings around three levels of analysis – institutional, organizational and individual – to outline the complexity of factors affecting refugees’ employment outcomes. Based on our analysis, we introduce and elaborate on the phenomenon of the canvas ceiling ? a systemic, multilevel barrier to refugee workforce integration and professional advancement. The primary contributions of this paper are twofold. First, we map and integrate the multidisciplinary findings on the challenges of refugee workforce integration. Second, we provide management scholarship with a future research agenda to address the knowledge gap identified in this review and advance practical developments in this domain.     

A Hybrid Geometric Phase II/III Clinical Trial Design based on Treatment Failure Time and Toxicity

The problem of comparing several experimental treatments to a standard arises frequently in medical research. Various multi-stage randomized phase II/III designs have been proposed that select one or more promising experimental treatments and compare them to the standard while controlling overall Type I and Type II error rates. This paper addresses phase II/III settings where the joint goals are to increase the average time to treatment failure and control the probability of toxicity while accounting for patient heterogeneity. We are motivated by the desire to construct a feasible design for a trial of four chemotherapy combinations for treating a family of rare pediatric brain tumors. We present a hybrid two-stage design based on two-dimensional treatment effect parameters. A targeted parameter set is constructed from elicited parameter pairs considered to be equally desirable. Bayesian regression models for failure time and the probability of toxicity as functions of treatment and prognostic covariates are used to define two-dimensional covariate-adjusted treatment effect parameter sets. Decisions at each stage of the trial are based on the ratio of posterior probabilities of the alternative and null covariate-adjusted parameter sets. Design parameters are chosen to minimize expected sample size subject to frequentist error constraints. The design is illustrated by application to the brain tumor trial.     

COMPUTER-AIDED CONSTRUCTION OF SMALL (M, S)-OPTIMAL INCOMPLETE BLOCK DESIGNS

A new exchange algorithm for the construction of (M, S)-optimal incomplete block designs (IBDS) is developed. This exchange algorithm is used to construct 973 (M, S)-optimal IBDs (v, k, b) for v= 4,…,12 (varieties) with arbitrary v, k (block size) and b (number of blocks). The efficiencies of the “best” (M, S)-optimal IBDs constructed by this algorithm are compared with the efficiencies of the corresponding nearly balanced incomplete block designs (NBIBDs) of Cheng(1979), Cheng & Wu (1981) and Mitchell & John(1976).     

Bound and exact methods for assessing link vulnerability in complex networks

Assessing network systems for failures is critical to mitigate the risk and develop proactive responses. In this paper, we investigate devastating consequences of link failures in networks. We propose an exact algorithm and a spectral lower-bound on the minimum number of removed links to incur a significant level of disruption. Our exact solution can identify optimal solutions in both uniform and weighted networks through solving a well-constructed mixed integer program. Also, our spectral lower-bound derives from the Laplacian eigenvalues an estimation on the vulnerability of large networks that are intractable for exact methods. Through experiments on both synthetic and real-world networks, we demonstrate the efficiency of the proposed methods.     

The inverse 1-center problem on trees with variable edge lengths under Chebyshev norm and Hamming distance

This paper addresses the problem of modifying the edge lengths of a tree in minimum total cost such that a prespecified vertex becomes the 1-center of the perturbed tree. This problem is called the inverse 1-center problem on trees. We focus on the problem under Chebyshev norm and Hamming distance. From special properties of the objective functions, we can develop combinatorial algorithms to solve the problem. Precisely, if there does not exist any vertex coinciding with the prespecified vertex during the modification of edge lengths, the problem under Chebyshev norm or bottleneck Hamming distance is solvable in \(O(n\log n)\) time, where \(n+1\) is the number of vertices of the tree. Dropping this condition, the problem can be solved in \(O(n^{2})\) time.     

School climate,attitude toward school violence,and violent behaviors among high school students in Vietnam

This study aimed to examine the relationship between Vietnamese high school students' violent behaviors and their violence exposure (observing and being victimized by school violence), and attitude, and perceived school climate. The results from 496 Vietnamese high school students show that students' acceptance of school violence and their experience of being the victim of school violence have a significant, and direct, positive effect on their violent behaviors at school. In the moderation model, when students' perception of school climate is more positive, the effect of their acceptance of violence on their violent behaviors at school reduces, implying the moderating effect of school climate. The results have practical implications for educators and policy makers to intervene school violence in Vietnam.     

Correction to: The impact of parental illness on children’s schooling and labour force participation: evidence from Vietnam

Review of Economics of the Household - The original version of this article unfortunately contained some errors in reference citations and in significance indicators in some of the tables. These...     

Depressive Symptoms in Mothers of Recently Adopted Post-Institutionalized Children

To determine whether depressive symptoms are elevated within months of adoption, we compared women who had recently adopted a toddler from an overseas orphanage to women with children of the same age who adopted more than a year before or were raising a child they birthed. The groups did not differ significantly in means or in percentage with elevated symptoms (Session 1, χ²(2) = 2.5, ns; Session 2, χ²(2) = 1.38, ns). The results provided no evidence of elevated symptoms in the first months following adoption for women who adopted internationally relative to other women with toddler-aged children.