首都青少年消费情况研究

笔者于2005年3～6月对1161名首都青少年的消费能力及具体的消费进行了问卷调查。分析了不同类型消费者的心理特征及在不同青少年群体中的构成状况,并指出追求享受型消费者并不是青少年的主流。青少年对品牌的认识与对高科技消费类电子产品的价值持积极的态度,对它们的使用与消费有助于维护自我的形象并在群体中得到认同。     

大学生心理健康与自我调适

本文认为应严格区分心理问题的三种状态,大学生心理健康状况总体上是正常的,大学生心理健康的主要问题是成长和发展中的心理困扰,大学生心理困扰具有阶段性、累积性和多重性的特点,自我调适是对大学生进行心理健康教育的根本着力点。     

Foreign-born emigration: A new approach and estimates based on matched CPS files

The utility of postcensal population estimates depends on the adequate measurement of four major components of demographic change: fertility, mortality, immigration, and emigration. Of the four components, emigration, especially of the foreign-born, has proved the most difficult to gauge. Without "direct" methods (i.e., methods identifying who emigrates and when), demographers have relied on indirect approaches, such as residual methods. Residual estimates, however are sensitive to inaccuracies in their constituent parts and are particularly ill-suited for measuring the emigration of recent arrivals. Here we introduce a new method for estimating foreign-born emigration that takes advantage of the sample design of the Current Population Survey (CPS): repeated interviews of persons in the same housing units over a period of 16 months. Individuals appearing in a first March Supplement to the CPS but not the next include those who died in the intervening year, those who moved within the country, and those who emigrated. We use statistical methods to estimate the proportion of emigrants among those not present in the follow-up interview. Our method produces emigration estimates that are comparable to those from residual methods in the case of longer-term residents (immigrants who arrived more than 10 years ago), but yields higher--and what appear to be more accurate--estimates for recent arrivals. Although somewhat constrained by sample size, we also generate estimates by age, sex, region of birth, and duration of residence in the United States.     

论刑法中的国家机关工作人员

为探寻刑法中“国家机关工作人员”正当而科学的判断标准,我们提出了关于“国家机关工作人员”本质的“公职论”,探讨了“公职论”的法理根基与政治学基础,并进行了“国家机关工作人员”的刑法学释义与分类。     

以信息化推进贵阳生态经济城市建设

信息化在提高城市竞争力,促进经济增长中起着越来越重要的作用,本文通过描述信息化与生态经济城市建设的关系,提出贵阳作为全国首批循环经济试点城市,如何通过信息化将生态优势转为经济优势的几点建议。     

Writing resistance together

This piece of writing is a joint initiative by the participants in the Gender, Work and Organization writing workshop organized in Helsinki, Finland, in June 2019. This is a particular form of writing differently. We engage in collective writing and embody what it means to write resistance to established academic practices and conventions together. This is a form of emancipatory initiative where we care for each other as writers and as human beings. There are many author voices and we aim to keep the text open and dialogical. As such, this piece of writing is about suppressed thoughts and feelings that our collective picket line allows us to express. In order to maintain the open‐ended nature of the text, and perhaps also to retain some ‘dirtiness’ that is essential to writing, the article has not been language checked throughout by a native speaker of English.     

Economic Inequality is Associated with Lower Internet Use: A Nationally Representative Study

Social Indicators Research - Previous studies have documented the associations of objective class with either social capital or subjective social status, yet little attention has been paid to the...     

Outlier detection and robust variable selection via the penalized weighted LAD-LASSO method

This paper studies the outlier detection and robust variable selection problem in the linear regression model. The penalized weighted least absolute deviation (PWLAD) regression estimation method and the adaptive least absolute shrinkage and selection operator (LASSO) are combined to simultaneously achieve outlier detection, and robust variable selection. An iterative algorithm is proposed to solve the proposed optimization problem. Monte Carlo studies are evaluated the finite-sample performance of the proposed methods. The results indicate that the finite sample performance of the proposed methods performs better than that of the existing methods when there are leverage points or outliers in the response variable or explanatory variables. Finally, we apply the proposed methodology to analyze two real datasets.