大学生弱势群体自我认知研究

本文从心理学视角,采用调查法,探讨大学生弱势群体自我认知为弱势的原因及弱势类型,结果表明经济因素、学习因素和学校关系因素是引起大学生自我认知为弱势的重要原因;经过聚类分析发现,大学生弱势群体可分为家庭——经济弱势、人际——心理弱势、学校认可弱势和经济——学习弱势四种类型。     

On generalised estimating equations for vector regression

Generalised estimating equations (GEE) for regression problems with vector‐valued responses are examined. When the response vectors are of mixed type (e.g. continuous–binary response pairs), the GEE approach is a semiparametric alternative to full‐likelihood copula methods, and is closely related to Prentice & Zhao's mean‐covariance estimation equations approach. When the response vectors are of the same type (e.g. measurements on left and right eyes), the GEE approach can be viewed as a ‘plug‐in’ to existing methods, such as the vglm function from the state‐of‐the‐art VGAM package in R. In either scenario, the GEE approach offers asymptotically correct inferences on model parameters regardless of whether the working variance–covariance model is correctly or incorrectly specified. The finite‐sample performance of the method is assessed using simulation studies based on a burn injury dataset and a sorbinil eye trial dataset. The method is applied to data analysis examples using the same two datasets, as well as to a trivariate binary dataset on three plant species in the Hunua ranges of Auckland.     

Single-stage sampling procedure of the t best populations under heteroscedasticity

Given k( ? 3) independent normal populations with unknown means and unknown and unequal variances, a single-stage sampling procedure to select the best t out of k populations is proposed and the procedure is completely independent of the unknown means and the unknown variances. For various combinations of k and probability requirement, tables of procedure parameters are provided for practitioners.     

Semi-non parametric smooth isotonic regression

We propose a new method for smooth isotonic regression analysis. Unlike most existing methods for isotonic regression, the proposed method is akin to parametric regression without order restriction. To account for smoothness and isotonicity simultaneously, we exploit the flexible class of semi-non parametric densities to model isotonic regression functions. Under this framework, the full range of inference techniques for parametric regression models become applicable for model estimation and model validation in isotonic regression.     

中国家庭部门能源回弹效应及其福利影响

能源回弹效应的大小影响到能源效率的提高能否实现预期的能源消费量的减少.目前文献上对回弹效应的研究大多是对生产部门回弹效应的研究,文章采用投入产出表的数据模拟研究了中国家庭部门能源使用效率提高所引起的能源回弹效应.研究表明,长期家庭部门回弹效应为83％,长期总回弹效应为58％.并对家庭部门回弹效应的福利影响进行了分析.     

Calculable Power: A Case Study of IMF Quotas and Voting Rights Reform*

Voting procedure is an important mechanism for public choice in collective bodies such as international organizations. This paper measures and compares IMF member countries’ voting power before the 2008 reform and after the 2010 reform on the basis of datasets on IMF quotas and voting rights distribution provided by IMF. Our study verifies that IMF’s quotas and voting rights reforms do help to reduce the voting power gap among member countries. The 2008 and 2010 reforms produce a greater improvement in emerging members’ voting power under the 70 percent majority rule than the 85 percent rule; the 70 percent majority rule means the United States would lose its absolute veto. Moreover, the paper disproves the underlying assumption that regards a member’s voting power as proportional to its voting rights. Countries with different amounts of voting rights can still have the same voting power.     

Patriarchal capitalism with Chinese characteristics: gendered discourse of ‘Double Eleven’ shopping festival

In this article we consider the Double Eleven shopping festival as a major discursive site where the hegemony of what we call patriarchal capitalism with Chinese characteristics is articulated. The state, the market, the corporations and the media, both mainstream and social media, all played an important role in building up a national spending spree that is deeply embedded in the current class and gender structure of China. The phenomenon of Double Eleven emerged at a time when state capitalism has been overwriting socialist institutions, while patriarchal ideology being further intensified through consumerism. As a consequence, the intersectionality of class and gender becomes increasingly manifest in the Chinese society. We start with a brief overview of the trajectory of gender politics in China since 1949, with specific focus on how the socialist project of seeking gender equality was gradually replaced by the quest for ‘womanhood’ and ‘femininity’. We then discuss, using both secondary sources and our own analysis of news coverage of Double Eleven, why maintaining a high level of consumer demand is of crucial importance for the Chinese state and what the state’s role has been in configuring the hegemonic gender order. A brief section on ideology and discourse lays out the conceptual framework of our analysis. It is at the intersection of a dissipating socialist ethos, emerging economic stagnation and ascending consumerism that the sexist discourse in relation to Double Eleven proliferates, and this is the analytical focus of our empirical section. We elaborate on the theoretical implications of the empirical analysis before concluding.     

Difference-based matrix perturbation method for semi-parametric regression with multicollinearity

This paper addresses the collinearity problems in semi-parametric linear models. Under the difference-based settings, we introduce a new diagnostic, the difference-based variance inflation factor (DVIF), for detecting the presence of multicollinearity in semi-parametric models. The DVIF is then used to device a difference-based matrix perturbation method for solving the problem. The electricities distribution data set is analyzed, and numerical evidences validate the effectiveness of the proposed method.     

Estimation and Inference Procedures for Semiparametric Distribution Models with Varying Linear‐Index

More flexible semiparametric linear‐index regression models are proposed to describe the conditional distribution. Such a model formulation captures varying effects of covariates over the support of a response variable in distribution, offers an alternative perspective on dimension reduction and covers a lot of widely used parametric and semiparameteric regression models. A feasible pseudo likelihood approach, accompanied with a simple and easily implemented algorithm, is further developed for the mixed case with both varying and invariant coefficients. By justifying some theoretical properties on Banach spaces, the uniform consistency and asymptotic Gaussian process of the proposed estimator are also established in this article. In addition, under the monotonicity of distribution in linear‐index, we develop an alternative approach based on maximizing a varying accuracy measure. By virtue of the asymptotic recursion relation for the estimators, some of the achievements in this direction include showing the convergence of the iterative computation procedure and establishing the large sample properties of the resulting estimator. It is noticeable that our theoretical framework is very helpful in constructing confidence bands for the parameters of interest and tests for the hypotheses of various qualitative structures in distribution. Generally, the developed estimation and inference procedures perform quite satisfactorily in the conducted simulations and are demonstrated to be useful in reanalysing data from the Boston house price study and the World Values Survey.     

VIF-based adaptive matrix perturbation method for heteroskedasticity-robust covariance estimators in the presence of multicollinearity

In this study, we investigate linear regression having both heteroskedasticity and collinearity problems. We discuss the properties related to the perturbation method. Important observations are summarized as theorems. We then prove the main result that states the heteroskedasticity-robust variances can be improved and that the resulting bias is minimized by using the matrix perturbation method. We analyze a practical example for validation of the method.