白寿彝先生编纂《回民起义》的学术价值

白寿彝先生编纂的《回民起义》(4册 ,约 2 0 0万字 ) ,是建国初中国史学会主持编选的《中国近代史资料丛刊》之一种。白先生于抗战时期即在云南致力于史料的搜求 ,建国后又进一步加以扩大和系统化。本文认为 ,此书的突出学术价值为 :搜集文献丰富 ,种类齐全 ,除官书和奏议外 ,还有大量私人著述和方志、碑刻资料 ,编者并作了精审的考证 ;善于剔别旧记载的偏见和诬枉 ,保留其中有价值的成分。故此书出版后一向受到近代史和民族史研究者的重视。     

赛珍珠研究综述——基于“中国知网”等数据库的统计分析

利用“中国知网”、“中国人民大学复印报刊资料数据库”、“人大资料中心信息发布系统”三个数据库平台对赛珍珠研究情况进行分析,无论是纵向进行历史梳理,还是横向与英美文化名人研究比较,赛珍珠研究已经成为大陆学界英美文学与翻译研究的重点。之所以出现这一可喜局面,与研究机构的支持、学者们的贡献、特色栏目的支撑有关。     

A Delphi Method Expert Survey to Derive Standards for Flood Damage Data Collection

For the purpose of flood damage analyses reliable, comparable, comprehensive, consistent, and up-to-date data are an indispensable need. Like in many other countries a database with this kind of datasets does not exist in Germany. To establish it, standards have to be set for flood damage data collection. We approached this problem by questioning experts about their information needs for flood damage analysis. This survey is done by applying a Delphi survey approach. The aptitude of the Delphi approach to assess, structure, and standardize expert knowledge is evaluated in this article. In the survey a panel of 55 experts working in the field of flood damage analysis for insurances, engineering companies/consultancy, public water management, and universities and other scientific institutions helped to identify common information needs. The multi-step Delphi method proved to reduce the deviation of answers thereby enabling consensual results and also enhanced the quality by modifying group answers in the direction of experience based answers. There was also a high level of congruence in information needs between experts from different fields of employment that allowed the derivation of common standards.     

Measuring performance of two-stage network structures by DEA: A review and future perspective

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). An important area of development in recent years has been devoted to applications wherein DMUs represent two-stage or network processes. One particular subset of such processes is those in which all the outputs from the first stage are the only inputs to the second stage. The current paper reviews these models and establishes relations among various approaches. We show that all the existing approaches can be categorized as using either Stackelberg (leader-follower), or cooperative game concepts. Future perspectives and challenges are discussed.     

Comparison of Face-to-Face and Web Surveys on the Topic of Homosexual Rights

ABSTRACT

Although academic research on homosexuality relies heavily on survey data, there has been limited study of the survey method of asking relevant questions. This study examines the effect of survey mode on responses to questions about homosexual rights. We find significant mode effects among heterosexual respondents, who are more likely to support equal access to employment, military service, adoption, and marriage for homosexual people in face-to-face surveys than in Web surveys. They are also more likely to choose to not respond when face-to-face than online. Homosexual respondents do not show mode effects for either substantive responses or item nonresponse rate.     

Fast EM-type implementations for mixed effects models

The mixed effects model, in its various forms, is a common model in applied statistics. A useful strategy for fitting this model implements EM-type algorithms by treating the random effects as missing data. Such implementations, however, can be painfully slow when the variances of the random effects are small relative to the residual variance. In this paper, we apply the 'working parameter' approach to derive alternative EM-type implementations for fitting mixed effects models, which we show empirically can be hundreds of times faster than the common EM-type implementations. In our limited simulations, they also compare well with the routines in S-PLUS® and Stata® in terms of both speed and reliability. The central idea of the working parameter approach is to search for efficient data augmentation schemes for implementing the EM algorithm by minimizing the augmented information over the working parameter, and in the mixed effects setting this leads to a transfer of the mixed effects variances into the regression slope parameters. We also describe a variation for computing the restricted maximum likelihood estimate and an adaptive algorithm that takes advantage of both the standard and the alternative EM-type implementations.     

Produktdiversifizierung und Unternehmenserfolg: Nutzung der Forschungsdatenzentren der Statistischen ?mter

Zusammenfassung: Im Rahmen seiner industrie?konomischen Forschung beabsichtigt das DIW Berlin das Verhalten von Unternehmen auf den Produktm?rkten intensiver zu analysieren. In einem ersten Schritt soll der Zusammenhang zwischen Produktdiversifizierung, der Einführung neuer Produkte und dem Erfolg von Unternehmen im verarbeitenden Gewerbe untersucht werden. Dies soll mit Hilfe einer ?konometrischen Panelanalyse auf der Grundlage von Mikrodaten von Unternehmen erfolgen. Statt des in der Arbeitsmarktforschung üblichen Employer-Employee Datensatzes wird für diesen Zweck ein Producer-Product Datensatz ben?tigt. Erstmals sollen diese Mikrodaten im Rahmen einer Panelanalyse durch die Forschung ausgewertet werden. Dabei werden zwei getrennt durchgeführte Erhebungen, die Kostenstrukturerhebung und die Produktionserhebung, für einzelne Unternehmen zusammengefasst. M?glich wird dieses Forschungsvorhaben durch die Nutzung des auf Empfehlung der Kommission zur Verbesserung der informationellen Infrastruktur neu eingerichteten Forschungsdatenzentrums (FDZ). Das vorliegende Papier berichtet über das Forschungskonzept und die bisher erfolgten Schritte bei der Nutzung der Forschungsdatenzentren des Bundes und der L?nder am regionalen Standort Berlin.

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Summary: For a better understanding of the strategies of firms on their product markets, the DIW Berlin intends to intensify the analysis on the relationship between product diversification, including the introduction of new products and the success of firms. It is planned to do this by applying econometric panel methods on micro level data for German manufacturing enterprises. For this objective, it is necessary to create a producer-product database. This affords the merging of two different datasets of the system of surveys in manufacturing for Germany. The cost structure survey supplies information on the operating surplus of individual firms, while the production survey supplies the information on the goods produced by these firms. Conducting such an ambitious project has now been made possible in using the newly installed Research Data Centres (FDZ) for Germany. This paper gives an overview on the research project and on first experiences with the use of the local Research Data Centre in Berlin.

     

中国经济普查的组织机制与 数据质量控制

 本研究通过梳理2004年中国经济普查中的技术环节和组织环节，说明将普查的全过程纳入中国政府的行政系列，从组织体系和技术组织层面上保障了普查的数据质量；但这种行政组织方式也存在三个一般统计调查不宜发生的“调整性误差”、“局部整体性误差”和“心理倾向性误差”。要消除这些误差就要完善政绩考核评价体系，科学定位经济普查功能，改革经济普查组织方式，提高统计部门独立性，改进普查经费保障机制、数据采集方式。     

R&D project evaluation: An integrated DEA and balanced scorecard approach

We present and demonstrate a multi-criteria approach for evaluating R&D projects in different stages of their life cycle. Our approach integrates the balanced scorecard (BSC) and data envelopment analysis (DEA) and develops an extended DEA model. The input and output measures for the integrated DEA–BSC model are grouped in “cards” which are associated with a “BSC for R&D projects”. The BSC is embedded in the DEA model through a hierarchical structure of constraints that reflect the BSC balance considerations. We illustrate the proposed approach with a case study involving an industrial research laboratory that selects and executes dozens of R&D projects every year.     

浙江省城镇居民收入差距对消费结构影响的实证分析

改革开放以来,浙江省城镇居民间的收入差距不断扩大。这在一定程度上抑制了居民消费的提高,阻碍了居民消费结构的升级,进而影响消费总需求。本文利用Panel data模型,对浙江省城镇居民收入差距对消费结构的影响进行实证分析(2000-2006年),具体分析不同收入等级在各种消费品上的差别,从而有利于调整和实施不同收入等级的不同消费政策。