FDI的工资效应研究——基于江苏省制造业面板数据的分析

利用江苏省制造业2000--2006年的面板数据，从行业角度分析FDI对于江苏省制造业平均工资以及国有企业工资的影响，结果表明外资企业的进入可以通过提高整体的劳动生产率水平从而间接提高整体平均工资水平；劳动力工资与加工贸易的开放程度之间呈正相关关系，而与行业规模大小呈负相关．外资对于国有企业劳动力工资存在正的工资溢出，但是国内资本对于劳动力工资水平的影响与外商直接投资相比相差不大，甚至可以超过外商直接投资的贡献。     

Lower bounds on expectations of positive L-statistics from without-replacement models

We consider samples drawn without replacement from finite populations. We establish optimal lower non-negative and upper non-positive bounds on the expectations of linear combinations of order statistics centered about the population mean in units generated by the population central absolute moments of various orders. We also specify the general results for important examples of sample extremes, Gini mean differences and sample range. The paper completes the results of Papadatos and Rychlik [2004. Bounds on expectations of L-statistics from without replacement samples. J. Statist. Plann. Inference 124, 317–336], where sharp negative lower and positive upper bounds on the expectations of the combinations were presented for the without-replacement samples.     

南京国民政府时期南洋侨教政策负面影响述评

由于历史和现实的缘故，国民政府十分关注海外华侨尤其南洋华侨的教育，形成了比较完善的华侨教育体系，学校和学生数量呈上升趋势，学生素质也不断提高。然而由于国民政府侨教政策自身固有的弊病，给南洋侨教带来了相当的消极作用，限制了南洋侨教事业的进一步发展。     

葬礼:面对死亡的社会安排 ———城市环境下葬礼仪式浅析

通过实地观察和对殡仪馆工作人员的访谈，描绘了天津市城市内部现有的国家规范框架下葬礼仪式的具体过程以及附着在这个框架下的民间习俗的现状，试图通过对国家规范框架下的“正式”葬礼仪式及与其相对的“非正式”仪式——家庭告别仪式的程序形式的简略描述，展现在城市中普通个人的葬礼基于公共环境和家庭环境不同场景所采用的不同仪式过程。这是民间习俗对规范仪式的补充，同时也是“正式”规范对这种“非正式”实践的通融和消化。在描述现状之外，作者试图讨论蕴含在葬礼仪式中，不同死亡个体的葬礼仪式形式、规模及参与者等方面的区分所展现出的一种社会对死亡个体生前所处社会结构地位的认同，这种认同不仅反映了仪式所处社会背景的秩序和结构，也强化了这个社会的秩序和价值判断标准。     

Test for homogeneity in Hardy–Weinberg normal mixture model

The phenotype of a quantitative trait locus (QTL) is often modeled by a finite mixture of normal distributions. If the QTL effect depends on the number of copies of a specific allele one carries, then the mixture model has three components. In this case, the mixing proportions have a binomial structure according to the Hardy–Weinberg equilibrium. In the search for QTL, a significance test of homogeneity against the Hardy–Weinberg normal mixture model alternative is an important first step. The LOD score method, a likelihood ratio test used in genetics, is a favored choice. However, there is not yet a general theory for the limiting distribution of the likelihood ratio statistic in the presence of unknown variance. This paper derives the limiting distribution of the likelihood ratio statistic, which can be described by the supremum of a quadratic form of a Gaussian process. Further, the result implies that the distribution of the modified likelihood ratio statistic is well approximated by a chi-squared distribution. Simulation results show that the approximation has satisfactory precision for the cases considered. We also give a real-data example.     

On the asymptotic normality of the L1- and L2-errors in histogram density estimation

The L₁ and L₂-errors of the histogram estimate of a density f from a sample X₁,X₂,…,Xn using a cubic partition are shown to be asymptotically normal without any unnecessary conditions imposed on the density f. The asymptotic variances are shown to depend on f only through the corresponding norm of f. From this follows the asymptotic null distribution of a goodness-of-fit test based on the total variation distance, introduced by Györfi and van der Meulen (1991). This note uses the idea of partial inversion for obtaining characteristic functions of conditional distributions, which goes back at least to Bartlett (1938).     

郑玄《尚书》训诂的谶纬化

郑玄是汉学的总结性人物,其《尚书》训诂,是东汉《尚书》学之代表。郑玄《尚书》训诂,融古文、今文、谶纬于一体,是两汉《尚书》学谶纬化范围扩大的最好例证。通过郑玄,我们可以知道,古今文《尚书》学的对立并不妨碍双方对谶纬的吸收,谶纬在郑玄手中变成整合古今文《尚书》学的桥梁。     

Generalized partially linear varying-coefficient models

Generalized varying-coefficient models are useful extensions of generalized linear models. They arise naturally when investigating how regression coefficients change over different groups characterized by certain covariates such as age. In this paper, we extend these models to generalized partially linear varying-coefficient models, in which some coefficients are constants and the others are functions of certain covariates. Procedures for estimating the linear and non-parametric parts are developed and their associated statistical properties are studied. The methods proposed are illustrated using some simulations and real data analysis.     

Estimating ordered parameters by linear programming

There are many models that require the estimation of a set of ordered parameters. For example, multivariate analysis of variance often is formulated as testing for the equality of the parameters versus an ordered alternative. This problem, referred to as isotonic inference, constrained inference, or isotonic regression, has led to the development of general solutions, not often easy to apply in special models. In this expository paper, we study the special case of a separable convex quadratic programming problem for which the optimality conditions lead to a readily solved linear complementarity problem in the Lagrange multipliers, and subsequently to an equivalent linear programming problem, whose solution can be used to recover the solution of the original isotonic problem. The method can be applied to estimating ordered correlations, ordered binomial probabilities, ordered Poisson parameters, ordered exponential scale parameters, or ordered risk differences.     

Estimating the distribution function using k-tuple ranked set samples

The basic assumption underlying the concept of ranked set sampling is that actual measurement of units is expensive, whereas ranking is cheap. This may not be true in reality in certain cases where ranking may be moderately expensive. In such situations, based on total cost considerations, k-tuple ranked set sampling is known to be a viable alternative, where one selects k units (instead of one) from each ranked set. In this article, we consider estimation of the distribution function based on k-tuple ranked set samples when the cost of selecting and ranking units is not ignorable. We investigate estimation both in the balanced and unbalanced data case. Properties of the estimation procedure in the presence of ranking error are also investigated. Results of simulation studies as well as an application to a real data set are presented to illustrate some of the theoretical findings.