免费婚检、孕检的投入产出分析——以广东某区为例

本文从经济学的角度,以投入产出模型和机会成本为理论基础,通过构建以出生缺陷减少为产出收益的免费婚检、孕检投入产出分析模型,并以广东省某区的经验数据进行实证检验,对免费婚检、孕检推行的可行性进行分析。发现推行免费婚孕检的产出与投入的净现值指数为2．08,观显大于1。说明免费婚检、孕检项目可行且效益明显,值得在更大范围内推广。     

失业劳动力的就业渴望强度影响因素实证分析

本文基于重庆直辖市3000失业劳动力家庭人户调查的微观数据,运用排序选择logit模型估计了失业劳动力的人口统计学特征、人力资本、社会背景和社会政策．以及家庭经济状况等因素对其就业渴望强烈程度的影响。本文的政策含义在于：在健全失业保险的前提下,对失业劳动力适当的取消直接货币补偿而代之以非货币的扶持,可能更有利于刺激失业劳动力积极寻找工作和再就业。     

新疆维吾尔自治区死亡水平的演变规律及分布特征分析

本文根据《新疆辉煌50年》及三次人口普查数据,分析了新疆维吾尔自治区历年来死亡率、死亡人数、死亡率模式、平均预期寿命等指标的演变过程及分布特征,试图揭示新疆维吾尔自治区死亡水平的内在变动规律,为计划生育及相关政府部门制定政策提供依据。     

Model selection criteria in beta regression with varying dispersion

We address the issue of model selection in beta regressions with varying dispersion. The model consists of two submodels, namely: for the mean and for the dispersion. Our focus is on the selection of the covariates for each submodel. Our Monte Carlo evidence reveals that the joint selection of covariates for the two submodels is not accurate in finite samples. We introduce two new model selection criteria that explicitly account for varying dispersion and propose a fast two step model selection scheme which is considerably more accurate and is computationally less costly than usual joint model selection. Monte Carlo evidence is presented and discussed. We also present the results of an empirical application.     

Designing a multiple state repetitive group sampling plan based on the coefficient of variation

A multiple state repetitive group sampling (MSRGS) plan is developed on the basis of the coefficient of variation (CV) of the quality characteristic which follows a normal distribution with unknown mean and variance. The optimal plan parameters of the proposed plan are solved by a nonlinear optimization model, which satisfies the given producer's risk and consumer's risk at the same time and minimizes the average sample number required for inspection. The advantages of the proposed MSRGS plan over the existing sampling plans are discussed. Finally an example is given to illustrate the proposed plan.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

The Conversational Model and Child and Family Counselling: Treating Chronic Complex Trauma in a Systemic Framework

Child and Family Counselling Teams in NSW Community Health Services are expected to provide therapeutic services to children who have experienced complex trauma. However, parental trauma is often overlooked or referred elsewhere. A systemic perspective informed by attachment theory and trauma theory provides the basis for addressing parental trauma in Child and Family Counselling Teams, thereby improving parenting. The Conversational Model is an evidence‐based intervention for chronic complex trauma. The foundations of the Conversational Model and its brief component, Short Term Intensive Psychodynamic Psychotherapy, are outlined and a case study is given to illustrate the usefulness of the intervention in Child and Family Counselling. Highlighted is the importance of addressing systemic trauma through parenting to improve attachment quality, family relationships, and children's function.     

Exploring how the social model of disability can be re-invigorated: in response to Mike Oliver

In his 2013 article in Disability & Society, Oliver recommended that the social model should either be replaced or re-invigorated. I argue here that the social model’s current emphasis reflects the social conditions in which it was introduced, and that the model’s impact on disabled people’s lives would increase if its emphasis was to more accurately reflect the current social conditions in the geographical regions in which it is applied. In order to help foster its re-invigoration, I ask five questions for discussion on the way forward for the social model. I identified my questions through examining published writing on the scope of the social model and on the model’s relationship with other models of disability.     

冰山模型视角下高校创新创业人才素质研究——基于福建省的实证分析

培养创新创业人才愈来愈成为高等教育热点。目前学界尚无关于高校创新创业人才素质的界定。借鉴冰山模型,通过调查、卡方检验及Lambda分析认为：高校创新创业人才除应具备人才的基础素质外,在表达能力、认识和把握规律、自我剖析、艺术与人文素养、想象力、洞察力、魄力、创新动力、创业激情和冒险精神等核心素质方面需更加突出。当前,社会评价高校毕业生总体上在核心素质方面较欠缺,其中尤以创新动力、创业激情和冒险精神为甚。这是我们加强高校创新创业人才培养的突破口之一,实践中应从改进人才培养模式结构、完善人才培养资源配置、强化人才核心素质提升等路径入手。