高校人才人事工作的文化内涵与价值追求

高校的人才人事工作，既要从时域的纵向上联系学校、社会的发展变化看不同阶段人才人事工作的特征和变化；又要从当代大学的使命上认识人才人事工作的深刻内涵和发展理念。因此，人才人事工作必须密切关注和配合学校教学工作和学科建设的发展变化，适应时代进步的特征和需求；人事工作者的基本素质应该是成为办事有心、处事有度、待人有情、通达全局、思考缜密的科学管理者；人才人事工作的基本价值观应该是对人的尊重、对学术的敬畏、对遵守规则的自觉。     

基于价值工程的层次分析模糊综合评标法探讨

针对我国工程建设项目中机电物资设备招标评标法存在问题,结合相关理论探讨出一套较符合实际市场环境和行业背景的招标评标方法。有利于提高工程项目的采购管理水平,有利于降低工程项目的投资。     

顾客时代普通高校继续教育的市场定位及其发展策略研究

产品时代已经结束,顾客时代真正来临了。普通高校继续教育业务部门战略思维模式应契合消费者的思维模式,要把拓展办学空间、获得市场份额的立足点定位在创造学生的顾客价值、回报学生的知识投资上。因此,必须正确认识继续教育与普通教育的关系,实施差异化战略和"以顾客为中心"的营销策略,切实维护学校品牌价值,进而提升其市场核心竞争力。     

Local efficiency of moment estimators in beta-binomial model

In this paper, the beta-binomial model is introduced as a Markov chain. It is shown that the correlated binomial model of Kupper and Haseman (1978) is identical to the additive binomial model of AItham(1978) and both are a first order approximation of the beta-binomial model. For small γ, the local efficiency of the moment estimators for the mean ρ and the extra-binomial variation γ is examined analytically. It is shown that, locally, the moment estimator for p is efficient up to the second order of y. Exact formulae for the relative efficiency are obtained for both the cases with γ known and unknown. Generalization to the unequal sample size case is also carried out. In particular, the gain in efficiency by using the quasi-likelihood estimator instead of the ratio estimator for p is studied when γ is known. These results are in agreement with the Monte Carlo results of Kleinman(1973) and Crowder(1985).     

沉默权价值的理性分析

现阶段有关沉默权的论述莫衷一是。对沉默权价值的分析可验证其存在的合理与否。对沉默权的历史考察可知其已完成了所期待的推进法制文明的应有使命 ;对沉默权的法理深究可知 ,其障碍刑罚目的实现 ;对沉默权的人性评判可知 ,其虽是人性尊重的司法表现 ,但其保障相对恶主体的权利却是以牺牲相对善主体权利为代价 ;对沉默权的价值判断可知 ,其以自由为口实 ,损害社会必要秩序。由此 ,沉默权不是人类司法活动中必需的诉讼制度。     

A variable selection approach to monotonic regression with Bernstein polynomials

One of the standard problems in statistics consists of determining the relationship between a response variable and a single predictor variable through a regression function. Background scientific knowledge is often available that suggests that the regression function should have a certain shape (e.g. monotonically increasing or concave) but not necessarily a specific parametric form. Bernstein polynomials have been used to impose certain shape restrictions on regression functions. The Bernstein polynomials are known to provide a smooth estimate over equidistant knots. Bernstein polynomials are used in this paper due to their ease of implementation, continuous differentiability, and theoretical properties. In this work, we demonstrate a connection between the monotonic regression problem and the variable selection problem in the linear model. We develop a Bayesian procedure for fitting the monotonic regression model by adapting currently available variable selection procedures. We demonstrate the effectiveness of our method through simulations and the analysis of real data.     

劳动价值论新探

劳动的复杂存在,知识的增长,服务活动层出不穷的展现和扩大,已使劳动从一元走向多元.无产阶级剥夺剥夺者的任务实现之后资本已与劳动从对立走向合作,这是现代经济的一大特征.劳动收入积累形成价值,是劳动价值论的继续.要素分配论不是劳动价值论的否定,只是在肯定劳动价值论的前提下,对其他生产要素给予了肯定.劳动不是一切财富的源泉,劳动和自然界才是一切财富的源泉.未来社会的发展趋势,劳动形成的资本收入将超过劳动收入无产者成为有产者,这是社会的巨大进步,是劳动从必然向自由的跨越.     

陕西省工业产业结构的实证分析

研究产业结构的现状与变动有利于正确认识区域经济发展，对经济发展政策的制定起到积极的作用。用总产值、从业人数和总资产贡献率分析了陕西省工业产业结构及变动，同时对近10年来陕西省工业各行业的绩效进行了实证分析。结果表明，陕西省在煤炭开采和洗选业、文教体育用品制造业等行业有明显的比较优势。     

Extreme Quantile Estimation for Autoregressive Models

ABSTRACT

A quantile autoregresive model is a useful extension of classical autoregresive models as it can capture the influences of conditioning variables on the location, scale, and shape of the response distribution. However, at the extreme tails, standard quantile autoregression estimator is often unstable due to data sparsity. In this article, assuming quantile autoregresive models, we develop a new estimator for extreme conditional quantiles of time series data based on extreme value theory. We build the connection between the second-order conditions for the autoregression coefficients and for the conditional quantile functions, and establish the asymptotic properties of the proposed estimator. The finite sample performance of the proposed method is illustrated through a simulation study and the analysis of U.S. retail gasoline price.     

Modeling Endogenous Mobility in Earnings Determination

ABSTRACT

We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer–employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First, we propose two new residual diagnostic tests of the assumption that mobility is exogenous to unmodeled determinants of earnings. Both tests reject exogenous mobility. We relax exogenous mobility by modeling the matched data as an evolving bipartite graph using a Bayesian latent-type framework. Our results suggest that allowing endogenous mobility increases the variation in earnings explained by individual heterogeneity and reduces the proportion due to employer and match effects. To assess external validity, we match our estimates of the wage components to out-of-sample estimates of revenue per worker. The mobility-bias-corrected estimates attribute much more of the variation in revenue per worker to variation in match quality and worker quality than the uncorrected estimates. Supplementary materials for this article are available online.