货币政策反应函数渠道对金融周期影响时变机制的实证研究

在关于货币政策影响经济主体风险承担水平,进而影响金融周期波动机制的研究中,基于风险承担渠道的相关研究较为成熟.区别于以往相关研究多关注货币政策实际采取的立场,文章基于货币政策反应函数渠道探讨了数量型与价格型货币政策反应函数对金融周期波动影响的时变机制.滚动回归的实证结果显示:无论数量型货币政策规则还是价格型货币政策规则,货币政策对信贷波动反应的敏感性主要影响金融周期的波动,但在价格型货币政策规则下,基于信贷视角观察金融周期波动时,货币政策信贷敏感性与货币政策资产价格敏感性对金融周期影响差异较小;较之于价格型货币政策规则,货币政策对信贷波动反应的敏感性在数量型货币政策规则下,对金融周期波动的影响更显著,并在一定程度上表现出随时间扩大的趋势.文章的创新之处在于:强调了货币政策通过政策反应函数渠道而非以往研究中较多关注的狭义风险承担渠道影响金融周期波动的事实,并构建计量模型对货币政策反应函数渠道影响金融周期波动的时变机制进行了详细刻画.     

The often overlooked issue of statistical power: This and other issues regarding assessing importance weighting in quality of life measures

In the area of quality of life research, researchers may ask respondents to rate importance as well as satisfaction of various life domains (such as job and health) and use importance ratings as weights to calculate overall, or global, life satisfaction. The practice of giving more important domains more weight, known as importance weighting, has not been without controversy. Several previous studies assessed importance weighting using the analytical approach of moderated regression. This study discusses major issues related to how importance weighting has been assessed. Specifically, this study highlights that studies on importance weighting without considering statistical power are prone to type II error, i.e., failing to reject the null hypothesis of no significant weighting effect when the null hypothesis is actually false. The sample size required for adequate statistical power to detect importance weighting functions appeared larger than most previous studies could offer.     

A new financial stress index model based on support vector regression and control chart

Financial stress index (FSI) is considered to be an important risk management tool to quantify financial vulnerabilities. This paper proposes a new framework based on a hybrid classifier model that integrates rough set theory (RST), FSI, support vector regression (SVR) and a control chart to identify stressed periods. First, the RST method is applied to select variables. The outputs are used as input data for FSI–SVR computation. Empirical analysis is conducted based on monthly FSI of the Federal Reserve Bank of Saint Louis from January 1992 to June 2011. A comparison study is performed between FSI based on the principal component analysis and FSI–SVR. A control chart based on FSI–SVR and extreme value theory is proposed to identify the extremely stressed periods. Our approach identified different stressed periods including internet bubble, subprime crisis and actual financial stress episodes, along with the calmest periods, agreeing with those given by Federal Reserve System reports.     

Coalition for a Healthier Community: Lessons learned and implications for future work

The Coalition for a Healthier Community (CHC) initiative was implemented to improve the health and well-being of women and girls. Underpinning CHC is a gender-based focus that uses a network of community partners working collaboratively to generate relevant behavior change and improved health outcomes. Ten programs are trying to determine whether gender-focused system approaches are cost-effective ways to address health disparities in women and girls. Programs implemented through coalitions made up of academic institutions, public health departments, community-based organizations, and local, regional, and national organizations, are addressing health issues such as domestic violence, cardiovascular disease prevention, physical activity, and healthy eating. Although these programs are ongoing, they have made significant progress. Key factors contributing to their early success include a comprehensive needs assessment, robust coalitions, the diversity of populations targeted, programs based on findings of the needs assessments, evaluations taking into consideration the effect of gender, and strong academic–community partnerships. A noteworthy impact of these programs has been their ability to shape and impact public, social, and health policies at the state and local levels. However, there have been challenges associated with the implementation of such a complex program. Lessons learned are discussed in this paper.     

论共同体观念的语词生成与理论建构

本文运用发生学的方法，揭示共同体观念的语词生成和共同体思想的理论建构。第一部分，作者指出，共同体这个语词在西方语言中源于共善和公共，具有丰富的内涵。第二部分，作者指出，共同体是古希腊罗马哲学和政治学的重要概念，在哲学形上学和伦理学的语境下，共同体与共善的关系密不可分;而在政治学的语境下，共同体是公共的名词化和实体化，共善则是建构人类社会的纲领和目标。把善提升为至善是一条哲学伦理学的理论建构通道，而把善提升为共善，则是哲学政治学的通道，与哲学伦理学的理论建构通道并行不悖。第三部分，作者指出，奥古斯丁批判地吸取了柏拉图和西塞罗的相关思想，然后以公义为纲，建构了他的理想共同体———上帝之城。奥古斯丁对共善的探究，直接导致对理想共同体的理论建构。他的理想共同体以信仰为核心，以伦理为共同体成员的守则，以秩序与和谐为共同体的特色，以普爱为共同体生存与发展的动力。     

A Simulation Study of Some Biasing Parameters for the Ridge Type Estimation of Poisson Regression

This article proposes several estimators for estimating the ridge parameter k based on Poisson ridge regression (RR) model. These estimators have been evaluated by means of Monte Carlo simulations. As performance criteria, we have calculated the mean squared error (MSE), the mean value, and the standard deviation of k. The first criterion is commonly used, while the other two have never been used when analyzing Poisson RR. However, these performance criteria are very informative because, if several estimators have an equal estimated MSE, then those with low average value and standard deviation of k should be preferred. Based on the simulated results, we may recommend some biasing parameters that may be useful for the practitioners in the field of health, social, and physical sciences.     

论人类命运共同体的“真、善、美”

人类命运共同体是“真”思想,它在继承马克思主义对“共同体”科学分析论述的基础上,结合当今世界发展的总体趋势不断探索、不断实践、不断发展并取得了显著成效。人类命运共同体是“和”“善”的思想,因为它充分汲取了中华文明的优秀基因,将中国传统文化中“和”与“善”的思想推向全世界。人类命运共同体是美丽的思想,因为它不仅准确把握了时代的主题,力求构建美丽新世界,还将全人类对美好生活的向往转变为现实的动力。构建人类命运共同体是马克思主义在21世纪焕发强大活力的显著象征,是中国优秀传统文化中和平思想的集中体现,是贡献给世界的中国智慧和中国方案。     

民族记忆与文化基因--瑶族民族记忆中“中华民族共同体”文化基因的表征及其价值阐释

民族记忆既是传承民族文化基因的载体,也是彰显民族文化基因的重要文化表征。民族记忆作为延续民族历史和文化基因的内在根基,通过传承民族历史文化、建构民族身份、塑造民族形象等形式传承和彰显民族文化基因的内在特征。以瑶族为代表的少数民族文化基因是中华民族文化基因的重要组成部分,深入挖掘瑶族民族记忆中蕴含的“中华民族共同体”文化基因,并阐释其内在的价值与意义,对培育和铸牢我国各民族的“中华民族共同体”意识有着重要的理论价值与现实意义。     

Comprehensive neighbourhood mapping: developing a powerful tool for child protection

This paper proposes ‘comprehensive neighbourhood mapping’ as a schema for gathering and interpreting information within a given geographical area which is informed by imaginative thinking about the safety of children and young people from sexual crime. It would build upon current forms of profiling by local authorities, health authorities and central Government. CNM would actively involve local people, in partnership with agencies, in ‘mapping’ danger points and support points. Eight components are discussed, including environmental issues, locations of sex offenders, sites where teenagers meet and share information, supportive individuals and organizations. Some issues for pilot projects are discussed, including the need to set up planning and implementation groups and to integrate CNM into wider child protection and community safety strategies. CNM is grounded in an ecological perspective which sees partnership approaches as essential and believes an overarching view of neighbourhood needs, based on detailed local information and understanding of how different forms of harm interconnect, is crucial in developing child protection strategies. At times of acute official anxiety about community ‘lynch‐mob’ reactions to known paedophiles, CNM aims to build communities which instead are informed and thoughtful about child protection. Copyright © 2002 John Wiley & Sons, Ltd.     

A class of symmetric bivariate uniform distributions

A class of symmetric bivariate uniform distributions is proposed for use in statistical modeling. The distributions may be constructed to be absolutely continuous with correlations as close to±1 as desired. Expressions for the correlations, regressions and copulas are found. An extension to three dimensions is proposed.