Bayesian density regression for discrete outcomes

We develop Bayesian models for density regression with emphasis on discrete outcomes. The problem of density regression is approached by considering methods for multivariate density estimation of mixed scale variables, and obtaining conditional densities from the multivariate ones. The approach to multivariate mixed scale outcome density estimation that we describe represents discrete variables, either responses or covariates, as discretised versions of continuous latent variables. We present and compare several models for obtaining these thresholds in the challenging context of count data analysis where the response may be over‐ and/or under‐dispersed in some of the regions of the covariate space. We utilise a nonparametric mixture of multivariate Gaussians to model the directly observed and the latent continuous variables. The paper presents a Markov chain Monte Carlo algorithm for posterior sampling, sufficient conditions for weak consistency, and illustrations on density, mean and quantile regression utilising simulated and real datasets.     

A reflected feature space for CART

We present an algorithm for learning oblique decision trees, called HHCART(G). Our decision tree combines learning concepts from two classification trees, HHCART and Geometric Decision Tree (GDT). HHCART(G) is a simplified HHCART algorithm that uses linear structure in the training examples, captured by a modified GDT angle bisector, to define splitting directions. At each node, we reflect the training examples with respect to the modified angle bisector to align this linear structure with the coordinate axes. Searching axis parallel splits in this reflected feature space provides an efficient and effective way of finding oblique splits in the original feature space. Our method is much simpler than HHCART because it only considers one reflected feature space for node splitting. HHCART considers multiple reflected feature spaces for node splitting making it more computationally intensive to build. Experimental results show that HHCART(G) is an effective classifier, producing compact trees with similar or better results than several other decision trees, including GDT and HHCART trees.     

Innovative approaches to regulating decent work for domestic workers in Côte d'Ivoire: Labour administration and the judiciary under a general labour code

The authors offer a contextualized analysis of judicial decisions rendered during 1971–2013 in Côte d'Ivoire, where domestic work is regulated by a general labour code. Assessments of those decisions, alongside qualitative interviews of institutional actors, elucidate how innovative practices were mainly derived from the code by attentive inspectors and by jurisprudence evolving to treat domestic work like any other. Yet limitations emanating from the inability to grapple with the specificity of domestic work are also identified. Reaffirming that the regulation of domestic work must embrace its duality (work like any other and work like no other), the authors conclude with a call for an international community of learning on decent work for domestic workers.     

Risk and diversification of nonprofit revenue portfolios: Applying modern portfolio theory to nonprofit revenue management

This study uses modern portfolio theory (MPT) to estimate the risk of nonprofit revenue portfolios and examines to what degree the revenue concentration measure based on Herfindahl–Hirschman Index is associated with the portfolio risk measure based on MPT. The findings suggest that nonprofits with greater revenue concentration have lower revenue portfolio risk in the whole sample analysis. However, it is plausible that this result is dominated by organizations reliant on commercial income, which comprise over half of the sample. In fact, when examined separately, the relationship varies by an organization's primary funding structure. While higher revenue concentration is positively associated with portfolio risk for organizations relying on donations or those without a consistent primary funding source, it appears to associate with a lower portfolio risk for commercial organizations and those relying on government grants. This study reflects on the concept of diversification derived from portfolio theory and calls attention to a more nuanced approach to nonprofit revenue strategy.     

Risk factors for child maltreatment in South Korea: An investigation of a nationally representative sample

This study investigated the risk factors associated with the occurrence of child physical and psychological abuse in South Korea based on the ecological theory of child maltreatment. A subsample of 3‐ to 18‐year‐old children from “A Study on the Current State of Child Abuse and Neglect,” a nationally representative study on child abuse and neglect, was utilized for secondary data analysis. The sample was divided into two age groups (third graders in elementary school and below and fourth graders and above). We utilized hierarchical logistic regression for each age group separately to analyze the data. The variables at each level of the system (i.e., ontogenic development, microsystem, and exosystem) were entered into the model in sequential order. The results showed the common risk factors for both age groups are the caregiver's experience of abuse in childhood, the child's problem behavior, exposure to domestic violence, community size, and informal social control. The child's age was also significant in both groups but in the opposite direction. Social support was a significant predictor for the younger age group only, while the caregiver's level of education was significant for the older age group only. Implications for future research and practice are discussed based on the study results.     

The Career Decision‐Making Difficulties Questionnaire: A Case for Item‐Level Interpretation

The Career Decision‐Making Difficulties Questionnaire (CDDQ; Gati, Krausz, & Osipow, 1996) has long been demonstrated as a useful instrument for career counseling practice. Several case studies have demonstrated how and why using the CDDQ facilitates the career counseling process (e.g., Amir, Gati, & Kleiman, 2008; Gati & Levin, 2014; Levin & Gati, 2014). This study explores how an in‐depth analysis of a case study conducted at the item level can provide career counselors with a richer understanding of their clients’ needs. The case study also emphasizes how administering and providing feedback on the CDDQ in career counseling sessions is likely to foster working alliances. The study concludes by presenting an intervention map based on the CDDQ taxonomy.     

Adherence to Mediterranean diet and risk of prostate cancer

In Europe, countries following the traditional Mediterranean Diet (MeDi), particularly Southern European countries, have lower prostate cancer (PCa) incidence and mortality compared to other European regions. In the present study, we investigated the association between the MeDi and the relative risk of PCa and tumor aggressiveness in a Spanish population. Among individual score components, it has been found that subjects with PCa were less likely to consume olive oil as the main culinary fat, vegetables, fruits and fish than those without. However, these differences were not statistically significative. A high intake of fruit, vegetables and cooked tomato sauce Mediterranean style (sofrito) was related to less PCa aggressiveness. Results showed that there are no differences in the score of adherence to the Mediterranean dietary patterns between cases and controls, with mean values of 8.37?±?1.80 and 8.25?±?2.48, respectively. However, MeDi was associated with lower PCa agressiveness according to Gleason score. Hence, relations between Mediterranean dietary patterns and PCa are still inconclusive and merit further investigations. Further large-scale studies are required to clarify the effect of MeDi on prostate health, in order to establish the role of this diet in the prevention of PCa.     

The risks and incentives of disciplinary neoliberal feminism: the case of microfinance

This article develops an analysis of the concept of disciplinary neo-liberal feminism through a focus on gendered poverty alleviation strategies and illustrates the value of this through a discussion of microfinance. By locating this study within an analysis of the expansion of global capital accumulation, the article argues that the liberal frameworks of female empowerment and entrepreneurialism that are central to these programs and to feminism in this form, mask their underlying political, social and economic objectives. In contrast, a Marxist Feminist approach more adequately explains the interplay of class and gender that underpins poverty alleviation strategies. This article argues that in the context of financial crisis and reduced social provision, women living in poverty in the Global South were identified as targets for the expansion of global finance. Their integration into global financial networks via microfinance and other pro-poor strategies has facilitated the expansion of markets for credit while at the same time disciplining market participation through the twin forces of risk and incentive. Disciplinary neo-liberal feminism has underpinned this incorporation of women into global capital accumulation creating profound effects for households and families, with microfinance programs representing important sites of contestation for the politics of class and gender.     

考虑风险规避的秘书问题求解的一个启发式方法

秘书问题是一类序贯观察与选择问题,描述了动态的信息搜索与决策过程.针对现有的以寻找满意解为目标的启发式方法存在诸多局限,提出了新的启发式方法,该方法基于当前观测中侯选项在已观察侯选项中的相对排名、待观测侯选项数量以及决策者的抱负水平,决策者可以通过设定抱负水平灵活决定该启发式方法的结果导向.推导了该启发式方法的性能指标,并通过仿真的方法与已有启发式方法的性能进行了比较.结果发现,该启发式方法在最终选择的侯选项的期望排名和稳定性,以及风险解的避免上均优于已有的启发式方法.     

哪些创业失败者更可能卷土重来?———基于松 － 紧文化与制度环境的跨国比较研究

高失败率是创业热潮中创业者必须面对的基本事实.创业失败在为创业者带来大量情绪与财务成本的同时,也提供了独特的学习经验.如何激活创业失败者卷土重来的激情是降低创业社会成本的关键.文章整合组织学习和创业认知理论构建了统一的创业失败学习理论逻辑,结合全球创业观察(Global Entrepreneurship Monitor)、世界银行和松-紧文化3个跨国数据库,考察了不同国家文化与制度环境下不同性别个体的创业失败经历对其创业选择的影响.研究发现:与没有失败经历的个体相比,有创业失败经历的个体更可能选择创业;高宽松度的国家文化、好的制度环境分别强化了这一关系;性别与文化宽松度对这一关系有显著的三重调节效应.即在高宽松度的国家文化下,有创业失败经历的女性创业者再次创业的概率更高.将性别角色差异纳入到创业失败的分析框架中,同时也扩展了创业失败的文化与制度分析.