Simulation and Analytical Approach to the Identification of Significant Factors

We develop our previous works concerning the identification of the collection of significant factors determining some, in general, nonbinary random response variable. Such identification is important, e.g., in biological and medical studies. Our approach is to examine the quality of response variable prediction by functions in (certain part of) the factors. The prediction error estimation requires some cross-validation procedure, certain prediction algorithm, and estimation of the penalty function. Using simulated data, we demonstrate the efficiency of our method. We prove a new central limit theorem for introduced regularized estimates under some natural conditions for arrays of exchangeable random variables.     

Valid Bayesian Estimation of the Cointegrating Error Correction Model

Two methods of identifying cointegrating vectors are commonly used: linear restrictions and the nonlinear method of Johansen's maximum likelihood procedure. That the linear method can produce invalid estimates while the Johansen approach always produces valid estimates has been recognized in several recent articles. Because all Bayesian studies to date have used linear restrictions, this article presents a Bayesian method for obtaining estimates of cointegrating vectors that will always be valid. In addition, it also presents an approach for evaluating the validity of linear restrictions.     

On a method of identification of best subset model from full ar-model

An usual approach for selection of the best subset AR model of known maximal order is to use an appropriate information criterion, like AIC or SIC with an exhaustive selection of regressors and to choose the subset model that produces the optimum (minimum) value of AIC or SIC. This method is computationally intensive. Proposed is a method based on the use of singular value decomposition and QR with column pivoting factorization for extracting a reduced subset from the exhaustive candidate set of regressors and to use AIC or SIC on the reduced subset to obtain the best subset AR model. The result is substantially reduced domain of exhaustive search for the computation of the best subset AR model.     

大学生专业课程认同状况及其影响因素研究——以江苏省社会工作专业为例

通过调查分析,发现目前社会工作专业核心课程设置相对统一,分支课程设置比较分散,专业实习与国际标准差距明显。学生对社会工作专业课程和专业教材的满意度达到中等水平,对专业实习的认同度比较低。学生所在年级、进入大学之前和目前对社工的了解程度等个人因素,学校类型、专业实习时间等学校因素对专业课程、专业教材和专业实习的评价有显著影响。这主要与社会工作专业的助人特质和我国社会工作发展现状有关。如何完善社会工作实习机制、规范社会工作教材编制,是增强学生专业课程认同的关键。     

Internal Infrastructural Impacts on RFID Perceptions and Commitment: Knowledge,Operational Procedures,and Information‐Processing Standards

For many firms, radio frequency identification (RFID) suggests not only a new alternative to existing tracking methods but also a means to a range of previously cost‐prohibitive internal control and supply chain coordination innovations. In any event, and even in light of possible external pressures to adopt, the full potential of RFID for an individual firm must ultimately be viewed in consideration with the infrastructural capabilities of that firm. Furthermore, because adoption decisions are fundamentally based on managerial perceptions, it is critical to consider how certain forms of infrastructure provide the necessary transparency into other infrastructural characteristics to augment such decisions. We use multisource survey data in this work to consider several elements that contribute to this infrastructure and subsequently to perceptions of RFID benefit and actual commitment to adoption. Results demonstrate that the complementary effects of these infrastructural capabilities significantly impact both perceptions of and commitments to RFID.     

The Effects on Clinician Identification when Clinician and Client Share a Common Ethnic Minority Background

ABSTRACT

A quasi-experimental study addressed the question of whether clinician identification with the client differs in therapeutic dyads in which clinician and client are from the same ethnic minority background than in therapeutic dyads in which clinician and client are from a different ethnic background. An availability sampling plan was used to obtain a sample of sixty Japanese American and sixty White social workers. Subjects watched one of two videotaped vignettes of either a Japanese American or White client. An identification inventory was used to measure range and intensity of identification. Findings demonstrated that match of ethnic minority background heightened range and intensity of identification. Additionally, match of generation, place of origin, and assimilation level also increased the respondent's identification with the client. Furthermore, feelings of vulnerability, a concern of overidentifying, and an added sense of investment occurred more frequently when the respondent and vignette client were from the same ethnic minority background.     

THE ARCHITECTURE OF IDENTITY: Embedding privacy in market institutions

As the Internet becomes integrated into the institutional world around it, attention has increasingly been drawn to the diverse ways in which information technologies mediate human relationships. As an increasingly commercial Internet has been employed to capture personally identifiable information, privacy concerns have intensified. To analyse these matters more systematically, this article considers the ideas about human identity that have been implicit in the development of economics and computer science. The two fields have evolved along parallel tracks, starting with an assumption of perfect transparency and moving toward a more sophisticated appreciation of individuals' private informational states. Progress in the analysis and resolution of privacy problems will require that this evolution be taken seriously and continued.     

确定线性多变量系统结构参数的递推辅助变量算法

本文研究了多变量系统中确定结构参数的递推辅助变量方法。文中采用的模型是输入输出差分方程的一种规范形式。根据Ahmed的结构辨识算法,文中给出了一个改进的算法,此算法是递推形式的,因而大大减少了计算量。     

Comment

This article tests the hypothesis of perfect competition in the consumer nondurables sector of the U.K. economy. First, it uses household-level data to estimate time-varying price elasticities of demand for disaggregated commodity groups. U.S. product prices are used as instruments for U.K. prices in the demand equation. Then it matches the product definitions to the Standard Industry Classification and uses firm-level data, combined with the estimated elasticities, to estimate a price model of firms operating in different industries. Household characteristics are used as instruments for the demand effects in the firms' supply equation. The results reject perfect competition and appear to be consistent with the argument that less competition increases profits through collusion.     

基于肯尼斯·伯克新修辞学的语篇解读模式——以葛底斯堡演说为例

从西方新修辞学的视角入手,主要借鉴当代修辞学家肯尼斯·伯克的同一理论,分析演讲者是如何从内容与形式两个方面跨越与受众的分离、取得认同、达到同体,促进合作,从而实现其演讲动机,完成其演讲目的的。以林肯的葛底斯堡演说为例,探讨解读政治公众演讲语篇的同一修辞模式,以期为语篇分析提供一个新的解读视角。