An empirical likelihood goodness-of-fit test for time series

Summary. Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric alternatives are based on residuals arising from a fitted model. When a parametric regression model is compared with a nonparametric model, goodness-of-fit testing can be naturally approached by evaluating the likelihood of the parametric model within a nonparametric framework. We employ the empirical likelihood for an α -mixing process to formulate a test statistic that measures the goodness of fit of a parametric regression model. The technique is based on a comparison with kernel smoothing estimators. The empirical likelihood formulation of the test has two attractive features. One is its automatic consideration of the variation that is associated with the nonparametric fit due to empirical likelihood's ability to Studentize internally. The other is that the asymptotic distribution of the test statistic is free of unknown parameters, avoiding plug-in estimation. We apply the test to a discretized diffusion model which has recently been considered in financial market analysis.     

东盟政策机制中的政策网络

政策网络是政策机制的重要组成部分,东盟政策网络的结构和运作是其政治精英理性选择的结果,目的是使这个地区政策网络能满足一体化政策领域扩展的需要,并实现区域一体化进程中各成员国的利益最大化。     

A subjectivist approach to consecutive conflict

An easily applied approach is developed to provide one participant in a sequence of conflicts with an optimal strategy. A goal of this article is to demonstrate that it is mathematically feasible to incorporate a decision maker's subjective distributions over the effects his actions will have on the outcomes of future conflicts. Unlike many other approaches, the model of this article does not restrict the beliefs that the participant is allowed to express. The participant, not the decision theorist, decides on what is relevent. Model assumptions required for updating rules, such as Bayesian updating, are not required unless they really are appropriate for the situation.Thanks are due to J. B. Kadane for suggesting the problem and for many helpful discussions.     

理性烛照的文化反思精神--新武侠小说的现代文化内蕴

新武侠小说以其鲜明而独特的文化品质异于传统武侠小说 ,以金庸等为代表的作家秉持着现代理性批判精神对封建文化中的沉疴痼疾进行了深刻的剖析 ,对传统的人生观、血统论、复仇法则等进行了清理 ,赋予新武侠小说中的英雄们以崭新的人文内涵与性格品质 ,体现出作家重新设计理想人格的努力。     

投资扩张的经济学分析

我国经济运行的态势良好,但存在的问题也不少。其中,投资盲目扩张的冲动较强是个主要矛盾。投资 受预期的影响,非理性预期是投资盲目扩张的一个充分必要条件。将科学发展观引入理性预期的概念之中,能够 提高投资决策和投资行为的科学性。建立健全正式的和非正式的制度安排,发展科学教育事业和提高全民的文化 素质,有利于形成信息的充分性和对称性。     

Maximum Likelihood Inference for Log-linear Models Subject to Constraints of Double Monotone Dependence

To model an hypothesis of double monotone dependence between two ordinal categorical variables A and B usually a set of symmetric odds ratios defined on the joint probability function is subject to linear inequality constraints. Conversely in this paper two sets of asymmetric odds ratios defined, respectively, on the conditional distributions of A given B and on the conditional distributions of B given A are subject to linear inequality constraints. If the joint probabilities are parameterized by a saturated log-linear model, these constraints are nonlinear inequality constraints on the log-linear parameters. The problem here considered is a non-standard one both for the presence of nonlinear inequality constraints and for the fact that the number of these constraints is greater than the number of the parameters of the saturated log-linear model.This work has been supported by the COFIN 2002 project, references 2002133957_002, 2002133957_004. Preliminary findings have been presented at SIS (Società Italiana di Statistica) Annual Meeting, Bari, 2004.     

共同背景和梦想下的相互依存——对《人与鼠》中两人物对话的分析

心理语言学家认为交谈者双方的诸多特性因素无疑会影响交谈过程的本质,这些特性包括交谈双方的年龄、性别、社会地位、种族背景、友谊的程度和关系的亲密程度.由美国著名作家约翰·斯坦贝克所著的《人与鼠》是一部极其感人并长期为读者喜爱的作品.该作品描写了两个劳动工人间真挚的友谊,相互依存以及共同的梦想.从《人与鼠》中,我们可以得知两人物之间的对话是有特性的,他们真势的友谊,相互依存以及共同的梦想是影响其交流方式最重要的特性.通过分析其背景,共同话题,共同梦想,我们可以总结出两人物的谈话方式是与心理语言学交谈的本质特性相符.     

在线评论的行为影响与价值应用研究综述

随着社交网络的发展,大量用户生成的在线评论影响着消费者的行为,同时被应用于企业的经营管理活动,引起市场营销、信息系统、产品开发等领域学者们的广泛关注,取得很大的研究进展。但是在线评论的研究范围广泛,目前并没有系统性的概念框架,缺乏对在线评论的全局认识。因此,本文尝试从行为影响和价值应用两个层面对在线评论研究文献进行全面总结,并结合当前的技术发展和市场环境,探讨在线评论研究的未来趋势。     

企业社会责任对供应链减排决策及政府补贴效率的影响研究

为了探讨零售商企业社会责任(CSR)对供应链减排决策及政府补贴效率的影响,构建了包含政府决策者的三阶段博弈模型。通过对均衡结果的分析表明：(1)随着零售商CSR实施水平的增强,制造商的减排程度、制造商的利润和社会福利将提高,但对零售商的利润和供应链整体利润的影响还取决于制造商减排努力系数的大小。(2)政府补贴可以提高制造商的减排程度和渠道成员的利润。而零售商CSR实施水平的增强能够改善政府单位补贴效率,使得政府补贴促进制造商减排和利润提升的效果更显著。当零售商CSR实施水平较低时,CSR实施水平的增强同样会导致政府补贴对零售商利润的提升效果更为显著。此外,本文设计了一种二部定价-成本分担契约,证明了该契约可以实现供应链协调。在此基础上,将研究扩展到制造商实施CSR的情形及政府新目标的情形,通过理论及数值分析,详细探讨了CSR行为对供应链减排决策的影响,为政府及低碳供应链的相关决策提供参考。     

创新驱动下新零售服务供应链质量协同改进的稳态策略

技术和消费的“双升”加快了新零售服务供应链的形成和产生,同时也通过驱动其质量系统的协同改进及动态演化实现持续的发展。本文从创新驱动质量的动态视角,分析创新驱动下新零售服务供应链中多主体协同质量改进的运行机制和动态演化过程,运用演化博弈方法分析构建多主体协同的动态演化博弈模型,以此分析新零售服务供应链协同质量改进中各参与主体的博弈策略选择,并利用雅克比矩阵判断其策略稳定性。研究表明：在多元参与主体利益诉求得到满足的前提下,多主体协同质量改进能够保持系统稳定状态;多主体间的质量势差与协同质量改进稳定性呈现出反比关系;良好的质量协同效应、独立的内部监督机制等能有效的促进协同质量改进系统稳定。