基于稳健稀疏主成分的经济增长影响因素分析

从传统生产要素、制度、金融和经济结构等四个方面选取了19个影响中国经济增长的变量,运用稳健稀疏主成分方法进行实证分析。结果表明物质资本、城镇化率、金融深度、城镇居民消费结构、基尼系数、技术水平已成为促进中国经济增长的主要动力,但东、中、西部经济增长的主要影响因素互不相同。在此基础上就如何进一步促进中国经济增长和区域经济均衡发展提出了若干政策建议。     

Poking a sleeping bear: the challenge of organizational recruitment for controversial topics

ABSTRACT

Researchers often approach employers to investigate employees’ work and family experiences. Organizational willingness to grant access to employees can vary, especially when the research topic is seen as controversial or contentious for the employer. This paper explores this methodological challenge using a research example from Manitoba, Canada, which explored the use of parental leave by male employees and the impact of managerial attitudes and corporate culture on usage. Sixty large employers were recruited with only seven of those organizations agreeing to participate. In this paper, the reasons organizations gave for declining to participate and the implications of their decisions for the research are examined. Although the final sample included 905 managers and employees, participating organizations tended to be employee-focused and family-friendly employers. Organizations declined participation for a variety of reasons: avoiding raising the issue with unions, awareness that their policies unfairly benefited female leave takers, and simply not seeing the relevance of a topic relating to men’s work–family experiences. A dialogue often absent from the literature, it is important to understand how employers can limit researchers’ access to employees on controversial topics. The existence of such barriers suggests alternative avenues to recruit participants directly when topics are contentious for employers.     

Evaluation from a Gender+ Perspective as a Key Element for (Re)gendering the Policymaking Process

ABSTRACT

Feminist scholars have challenged the neutrality of policymaking processes and the outputs resulting from these processes. However, some elements of policymaking have not been studied as well as others. In this article I explore the concept of evaluation from a gender+ perspective as an essential step for a complete gender mainstreaming strategy, which can help to identify gender issues that should be integrated into the content of evaluated policies and to ensure gender does not get lost in the policymaking process. This exploration is carried out by relying on feminist policy and evaluation studies.     

An optional randomized response model for estimating a rare sensitive attribute using Poisson distribution

The crux of this article is to estimate the mean of the number of persons possessing a rare sensitive attribute based on the Mangat (1991 Mangat, N.S. (1991). An optional randomized response sampling technique using non–stigmatized attribute. Statistica. 51(4):595–602. [Google Scholar]) randomization device by utilizing the Poisson distribution in simple random sampling and stratified sampling. Properties of the proposed randomized response (RR) model have been studied along with recommendations. It is also shown that the proposed model is more efficient than that of Land et al. (2011 Land, M., Singh, S., Sedory, S.A. (2011). Estimation of a rare attribute using Poisson distribution. Statistics. 46(3):351–360.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) in simple random sampling and that of Lee et al. (2013 Lee, G.S., Uhm, D., Kim, J.M. (2013). Estimation of a rare sensitive attribute in stratified sampling using Poisson distribution. Statistics. 47(3):575–589.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) in stratified random sampling when the proportion of persons possessing a rare unrelated attribute is known. Numerical illustrations are also given in support of the present study.     

计算机软件终端用户许可协议的内容成分探析

计算机软件终端用户许可协议(“许可协议”)是许可方与终端用户之间针对具体软件的使用达成的法律文件?国际上的许可协议具有一定的模式特征? 通过分层抽样分析,研究发现,英文软件许可协议文本长度差别很大,有 16 个内容模块比较常见,包括引言?术语定义?常规使用?服务器使用?备份制作?权利转让?知识产权?使用限制?合规性检验?联网与隐私?担保及责任?出口限制?适用法律?争端解决?特别条款?一般规定等?对每个模块在样本中的出现频率进行了统计分析,并对其中 12 个核心模块进行了述评,以期为软件设计者和终端用户提供借鉴?     

民族儿童文学:民族精神的独特呈现和体现——2010、2011少数民族儿童文学略论

在全球化语境中,承扬民族文化、张扬民族精神,是民族儿童文学创作面临的大问题。民族儿童文学作家常以一种世所罕有的审美敏感去表现边地的自然万物,或以魔幻性叙事来构筑民族儿童审美的形象体系,或以发展的、理想的视角展示当下民族儿童的现实,都表达出生命的另一种绚丽和辉煌、生活的另一种奇异和深邃、生性的另一种善良和刚强,使民族精神在民族儿童文学中得到独特的呈现和体现。     

Dynamic factor structure of team performances in Liga MX

Team performance of the Mexican Football League (Liga MX), measured as the percentage of the total points obtained during each short tournament, is analyzed using Dynamic Factor Models (DFMs). The estimation of the common components is carried out with Principal Components and the stochastic nature of the DFM is studied through Panel Analysis of Non-stationarity in Idiosyncratic and Common Components. The results reveal that there are two common factors, one being possibly non-stationary. These factors show an interesting dynamic behavior in the league and allow to split the teams into two groups, namely, top competitors and emerging or relegated teams. Some discussion is given in this direction.     

Regression from another angle

This paper presents a simply viewed framework that brings together various concepts of regression, prediction, and principal components. Several new concepts related to prediction are introduced, and then the interrelationships of these concepts are established. The generalizations are examined in detail and are illustrated in the context of a well known data set.     

Outlier detection by robust principal components analysis

The robust principal components analysis (RPCA) introduced by Campbell (Applied Statistics 1980, 29, 231–237) provides in addition to robust versions of the usual output of a principal components analysis, weights for the contribution of each point to the robust estimation of each component. Low weights may thus be used to indicate outliers. The present simulation study provides critical values for testing the kth smallest weight in the RPCA of a sample of n p-dimensional vectors, under the null hypothesis of a multivariate normal distribution. The cases p=2(2)10, 15, 20 for n=20, 30, 40, 50, 75, 100 subject to n≥p/2, are examined, with k≤√n.     

A perspective of composite sampling

Composite samples are formed by physically mixing samples. Usually, composite samples are used to reduce the overall cost associated with analytical procedures that must be performed on each sample, but they can also be used to protect the privacy of individuals.

Composite sampling can reduce the cost of identifying individual cases that have a certain trait, such as those with a rare disease or those exceeding pollution-level standards. Not much is lost by applying this method as long as the trait is relatively rare.

Composite sampling can reduce the cost of estimating the mean of some process. When samples are composited, the ability to estimate the variance is lost. In spite of this, the potential savings are so great that composite samples have been used.

Much of this paper deasl with the variance of estimators based on composite sampling when the porportions of hte original samples comprising the composite sample are actually random. Taking repeated samples and measurements on several composite samples complicates the prodcedure, but allows the estimation of between and within variation as well as measurement error.