Core concepts for share vectors

A value mapping for cooperative games with transferable utilities is a mapping that assigns to every game a set of vectors each representing a distribution of the payoffs. A value mapping is efficient if to every game it assigns a set of vectors which components all sum up to the worth that can be obtained by all players cooperating together.? An approach to efficiently allocate the worth of the ‘grand coalition’ is using share mappings which assign to every game a set of share vectors being vectors which components sum up to one. Every component of a share vector is the corresponding players' share in the total payoff that is to be distributed among the players. In this paper we discuss a class of share mappings containing the (Shapley) share-core, the Banzhaf share-core and the Large Banzhaf share-core, and provide characterizations of this class of share mappings. Received: 9 August 1999/Accepted: 25 April 2000     

Emancipation and Self-determination of People with Learning Disabilities and Down-sizing Institutional Care

In Arduin, an organisation for services to people with learning disabilities in the Netherlands, the emancipation and self-determination of people with learning disabilities has been positively adopted as fundamental in order to secure the best possible quality of life of the clients. The client is being encouraged in several ways in a development from a position of dependence towards self-determination. The services provided by the organisation had to be adjusted accordingly and are also going through a transition from 'providing a total care service' towards 'offering the support that the client desires'. In this article the background and developments in perception are being outlined, and those dimensions in quality of life are elaborated that are seen as most essential in the innovation: inclusion, self-determination and personal development. The choices that were made as a consequence in Arduin and most fundamental the choice to dismantle the institution are described.     

西部开发中的外商直接投资问题研究

改革开放的梯度推进 ,使外商直接投资在我国呈现出明显的地区差异。西部地区在利用外商直接投资数量、质量等方面与东部地区存在着很大差距 ,这也是加剧东西部地区经济不平衡增长的一个重要原因。西部大开发战略的制定和实施 ,为西部地区吸引外资提供了强有力的政策支持 ,西部地区应抓住时机 ,优先进行制度创新 ,积极吸引外商直接投资 ,促进地区经济协调健康发展     

从信息服务工作入手完善企业MI

时代发展迫切需要企业信息工作的完善。本文针对企业管理信息系统 (MIS)的不足 ,从加强企业 MIS的信息服务功能方面提出改进的方案 ,以求使企业的 MIS发挥更大的作用     

会计核算与统计核算的协调统一

文章讨论了会计核算与统计核算的内在联系与差异,提出了两者协调统一的客观必然性.     

我国农业科研投资效率的研究

定量分析了我国农业技术的变化,集中估算了我国农业科研投资的效率,并检验了诱致性创新假说的有效性.采用的是参数-非参数混合的分析方法,首先,在存在多种农产品的框架下,通过对生产集一般性的非参数描述,以"净产出增量"的形式对技术的变化进行了剖析,然后,确定了净产出增量、农业科研投资和相对价格变化之间的动态参数关系.实证分析结果表明,我国农业科研投资对资本、中间投入要素、粮食和肉类产品产生了较大的作用;通过诱致性创新,市场机制主要在产出方面也发挥了一定影响.     

Nonparametric estimation of a regression function from backward recurrence times in a cross-sectional sampling

This study considers the nonparametric estimation of a regression function when the response variable is the waiting time between two consecutive events of a stationary renewal process, and where this variable is not completely observed. In these circumstances, our data are the recurrence times from the occurrence of the last event up to a pre-established time, along with the corresponding values of a certain set of covariates. Estimation of the error density function and some of its characteristics are also considered. For the proposed estimators, we first analyze their asymptotic behavior and, thereafter, carry out a simulation study to highlight their behavior in finite samples. Finally, we apply this methodology to an illustrative example with biomedical data.     

会计准则制定:政府导向与程序民主

该文总结了国外会计准则及其制定的相关理论和研究成果,对我国会计准则制定和变迁进程中政府导向的形成、影响及其动机进行分析,并对政府主导的会计准则制定模式的利弊和今后政府会计管制的程序民主趋势进行了探讨,指出中国会计准则的制定模式应是政府导向与程序民主的结合,并对今后我国会计准则制定问题提出制度性建议。     

论开放带动主战略与河南开放型经济发展

河南是一个发展中内陆省份,随着经济全球化步伐加快和科学技术的突飞猛进,要坚持开放带动主战略,更加注重抓好对东部沿海发达地区的开放,注重技术、管理和先进理念的引进,注重人才资源开发特别是人才的引进和使用,注重加大固定资产投资领域的引资力度,注重经济发展软环境的改善和完善,注重“走出去”,走以开放促改革促发展的路子。     

Treatment and reporting of item-level missing data in social science research

Most quantitative studies in the social sciences suffer from missing data. However, despite the large availability of documents and software to treat such data, it appears that many social scientists do not apply good practices regarding missing data. We analyzed quantitative papers published in 2017 in six top-level social science journals. Item-level missing data was found in at least 69.5% of the papers, but their presence was explicitly reported in only 44.4% of all analyzed papers. Moreover, in the majority of cases, the treatments applied to missing data were incorrect, with many uses of deletion methods that are known to produce biased results and to reduce statistical power. The impact of missing data and of their treatment on results was barely discussed. Results show that social scientists underestimate the impact of missing data on their research and that they should pay more attention to the way such data are treated.