Child Support Obligations and Low‐Income Fathers

Using the 1994–1998 waves of the Current Population Survey—Child Support Supplement (N =5,387), the aims of this study are to document child support obligation rates of nonresident fathers, to examine the effect of the obligation rate on child support compliance, and to calculate the trade‐off between fathers’ financial responsibility and children's well‐being, paying particular attention to low‐income fathers. The results indicate that low‐income fathers have high child support obligation rates, which significantly reduce their child support compliance. Although lowering the obligation rate for these fathers may improve their compliance, it does not fully offset the lowered obligation amounts and leads to a 30% net payment loss for welfare mothers and a 43% loss for nonwelfare mothers. Policy implications are discussed.     

A Flexible Evaluative Framework for Order Picking Systems

This paper develops a novel framework to evaluate the integral performance of order picking systems with different combinations of storage and order picking policies. The warehousing literature on order picking mostly considers minimizing either elapsed time or distance as the sole objective, whereas warehouse managers in a supply chain have to look beyond single‐dimensional performance and consider trade‐offs among different criteria. Thus managers still need a unified and efficient framework to select a portfolio of appropriate order picking policies from a multi‐criteria and contextual perspective. Our framework—combining data envelopment analysis, ranking and selection, and multiple comparisons—provides an efficient methodology to simultaneously analyze several interrelated problems in order picking systems with multiple performance attributes, such as service levels and operational costs. We demonstrate our approach through comprehensive evaluations of order picking policies in three low‐level, picker‐to‐parts rectangular warehouses facing demand variations.     

Let's Call it Quits: Break‐Even Effects in the Decision to Stop Taking Risks

“Chasing” behavior, whereby individuals, driven by a desire to break even, continue a risky activity (RA) despite incurring large losses, is a commonly observed phenomenon. We examine whether the desire to break even plays a wider role in decisions to stop engaging in financially motivated RA in a naturalistic setting. We test hypotheses, motivated by this research question, using a large data set: 707,152 transactions of 5,379 individual financial market spread traders between September 2004 and April 2013. The results indicate strong effects of changes in wealth around the break‐even point on the decision to cease an RA. An important mediating factor was the individual's historical long‐term performance. Those with a more profitable trading history were less affected by a fall in cash balance below the break‐even point compared to those who had been less profitable. We observe that break‐even points play an important role in the decision of nonpathological risk takers to stop RAs. It is possible, therefore, that these nonpathological cognitive processes, when occurring in extrema, may result in pathological gambling behavior such as “chasing.” Our data set focuses on RAs in financial markets and, consequently, we discuss the implications for institutions and regulators in the effective management of risk taking in markets. We also suggest that there may be a need to consider carefully the nature and role of “break‐even points” associated with a broader range of nonfinancially‐focused risk‐taking activities, such as smoking and substance abuse.     

Modelling hierarchical clustered censored data with the hierarchical Kendall copula

This article proposes a new model for right‐censored survival data with multi‐level clustering based on the hierarchical Kendall copula model of Brechmann (2014) with Archimedean clusters. This model accommodates clusters of unequal size and multiple clustering levels, without imposing any structural conditions on the parameters or on the copulas used at various levels of the hierarchy. A step‐wise estimation procedure is proposed and shown to yield consistent and asymptotically Gaussian estimates under mild regularity conditions. The model fitting is based on multiple imputation, given that the censoring rate increases with the level of the hierarchy. To check the model assumption of Archimedean dependence, a goodness‐of test is developed. The finite‐sample performance of the proposed estimators and of the goodness‐of‐fit test is investigated through simulations. The new model is applied to data from the study of chronic granulomatous disease. The Canadian Journal of Statistics 47: 182–203; 2019 © 2019 Statistical Society of Canada     

《时序》与《才略》:刘勰对文章时代性之论述

刘勰《文心雕龙》所勾勒之文学史,非仅止于文学经验的集合,更是一必然规律的实践,文学史与“文律”是一体发生的.刘勰的态度表现在《通变》篇对文体、文数之常、变原则的讨论中.然而,在文律之外,现实中确实可见众多外于文学的偶然出现,却又作为文学创作背景之因素,特别是因君王好尚与世道盛衰所造成的时代整体境况,更是刘勰回顾文学发展过程时不能不正视的另一类变因.在文章历史中,“时代性”作为变因,其影响并不明确,不具绝对、全面的主导效力;若真有时代对文章必然之影响,唯出现在世况有道的前提下,但一旦有道,亦已因道所具有之恒常性而取消了时代的个别之特性.文律故始终是决定文章历史的最大关键.     

Effectiveness of Social Welfare Programmes in East Asia: A Case Study of Taiwan

Using the 2008 Family Income and Expenditure Survey, this study examined the effectiveness of social welfare programmes in Taiwan. The empirical evidence shows that most types of social welfare spending were limited in 2008. However, the social welfare programmes that were in place substantially reduced income inequality in Taiwan. Using the Organisation for Economic Co‐operation and Development (OECD) poverty threshold, the results reveal that 14 per cent of the sample's families were poor in terms of market income, but this figure decreased to 7 per cent after government intervention. Income inequality in Taiwan was similar to that of other East Asian countries such as Japan and South Korea, but Taiwan spent much less money on social welfare programmes than OECD countries, and therefore Taiwan's reduction of poverty was much lower as well.     

Competency‐based Education: Evidence from Social Work Postgraduates from Five Universities in China

Social work education in China has undergone rapid development during last two decades. However, methods to define, measure, and evaluate social work students' competency remain largely unexplored. In this study, we evaluated competency in graduate social work students in China and examined factors that impacted competency, based on learning theory. Findings indicated that knowledge and skills learned in class, field placement, and social context all have effects on competency. How students think about individual development and the social work profession has the most significant effect. These findings carry implications for social work education in the Chinese context. The rapid development of social work education in China requires the effective measurement and evaluation of students' core competencies.     

Goodness of fit tests with misclassified data

The most popular goodness of fit test for a multinomial distribution is the chi-square test. But this test is generally biased if observations are subject to misclassification, In this paper we shall discuss how to define a new test procedure when we have double sample data obtained from the true and fallible devices. An adjusted chi-square test based on the imputation method and the likelihood ratio test are considered, Asymptotically, these two procedures are equivalent. However, an example and simulation results show that the former procedure is not only computationally simpler but also more powerful under finite sample situations.