Conditional time-dependent nonparametric estimators with an application to healthcare production function

ABSTRACT

By using the probabilistic framework of production efficiency, the paper develops time-dependent conditional efficiency estimators performing a non-parametric frontier analysis. Specifically, by applying both full and quantile (robust) time-dependent conditional estimators, it models the dynamic effect of health expenditure on countries’ technological change and technological catch-up levels. The results from the application reveal that the effect of per capita health expenditure on countries’ technological change and technological catch-up is nonlinear and is subject to countries’ specific income levels.     

重大公共卫生事件中应如何作为:来自医学人类学哈佛学派的启示

聚焦人类学者在针对重大公共卫生事件的跨学科研究中应该有何作为这一议题,通过借鉴来自医学人类学哈佛学派的民族志洞见和研究经验,为当下2019新型冠状病毒疫情危机中所进行的田野观察和分析,以期获得灵感和启示,并探索有可行性和操作性的研究策略和方法。     

韩非子思想矛盾性浅析

韩非子是法家的集大成者 ,但其思想是矛盾的 ,这种矛盾同他的王室地位和先秦时期的夸饰风气有着密切的关系。这种矛盾并不影响其人格的评价。韩非子是个爱国者 ,其人格是伟大的。     

高校心理健康教育内容论略

根据社会形势对人才提出的新要求,结合大学生的身心特点和心理现状,高校的心理健康教育,应着力于心理健康知识、心理调适方法和心理疾病的防治等方面。     

论现行大学生体质检测方法的科学性

本文通过回顾我国大学生体质检测标准的发展历程,对新颁布的大学生体质监测方法和标准的科学性进行技术分析,在此基础上,对新的体质检测方法的进一步深层次的应用进行探索。     

制约学校体育实施健康教育的诸因素分析

本文主要对影响学校体育实施健康教育的因素进行了分类研究 ,为学校体育实施健康教育提供科学的参考依据。     

南宋理学极盛的过程与原因试析

宋代理学到南宋孝宗、宁宗时期达到极盛 ,但无论从理学道统承传方面还是从社会政治条件方面看 ,孝宗之前的高宗朝实为理学发展的关键时期。理学由北宋时的民间之学发展到南宋时占主导地位的学派 ,活跃于高宗朝的程门弟子对二程学说的极力推展是一重要因素。同时 ,面对激烈的民族矛盾 ,高宗集团选择了主和派的妥协主张 ,并有意识地寻找与这一政策相适应的学术思想作为其理论根据 ,程系理学正是在这一现实政治需要中得到高宗集团的接纳、支持而逐渐繁荣兴盛起来。到孝宗朝 ,朱熹使理学形成庞大的思想体系 ,标志着中国古典哲学进入了一个新阶段。     

对我国普通高校学生心理健康问题的调研

运用反映人类心理健康状况的CES-D、SAS和SCL-90自评量表的测试结果表明,我国普通高校学生的心理健康状况不容乐观,20.4%的大学生有轻度心理障碍,8.6%的学生有中度心理障碍,3.2%的学生患有心理疾病,这应当引起学校教育的高度重视和全社会的广泛关注。     

历史的必然与偶然——李贽与公安派渊源探析

李贽对公安派的影响是直接的,在其理论建树上有启发作用。李贽和公安派的出现是历史的必然,又有某些偶然性因素。     

A Risk-Based Method for Modeling Traffic Fatalities

We describe a risk-based analytical framework for estimating traffic fatalities that combines the probability of a crash and the probability of fatality in the event of a crash. As an illustrative application, we use the methodology to explore the role of vehicle mix and vehicle prevalence on long-run fatality trends for a range of transportation growth scenarios that may be relevant to developing societies. We assume crash rates between different road users are proportional to their roadway use and estimate case fatality ratios (CFRs) for the different vehicle-vehicle and vehicle-pedestrian combinations. We find that in the absence of road safety interventions, the historical trend of initially rising and then falling fatalities observed in industrialized nations occurred only if motorization was through car ownership. In all other cases studied (scenarios dominated by scooter use, bus use, and mixed use), traffic fatalities rose monotonically. Fatalities per vehicle had a falling trend similar to that observed in historical data from industrialized nations. Regional adaptations of the model validated with local data can be used to evaluate the impacts of transportation planning and safety interventions, such as helmets, seat belts, and enforcement of traffic laws, on traffic fatalities.