城市人口密度、国内市场规模与就业增长

我国经济“高增长、低就业”现象的原因在于我国贸易成本过高，国内市场规模较少。解决我国就业问题的关键在于减少行政干预，顺应市场要求，促进人口在空间上的适度集中，提高人口密度，提高消费效率，扩大市场规模。应进一步完善城乡一体的户籍制度，完善整合城乡劳动力市场，提高要素流动能力等。     

关于汉族、达斡尔族家庭教养方式的跨文化比较研究

本研究采取的是同一地区不同民族跨文化比较研究,目的是通过汉族和达斡尔族学生家长的取样测试,揭示汉族、达斡尔族家庭教养方式的民族差异,探讨有关影响因素,为合理、有效的家庭教育提供科学依据。     

"走西口"与晋陕内蒙古毗连带民歌圈的生成

晋西北山曲、陕北信天游、内蒙古原绥远地区的爬山歌 ,体例相同 ,词曲相近 ,共同构成我国北方单独的一个民歌圈 ,其生成与清代民国时期的“走西口”移民运动密切相关。在“走西口”过程中 ,晋西北、陕北人口大批向河套及大青山前后地区移居 ,形成以山西河曲、保德人和陕西府谷、神木、榆林人为核心的“河府移民圈” ,人口同源支持了民歌共性。长盛不衰的雁行式“走西口”生活 ,不断刺激着民歌的创造与发达 ,使三地民歌的交汇共生走向高潮 ,在发展中推动了三地民歌的同质化过程。     

Inference in Semi‐Parametric Dynamic Models for Repeated Count Data

This paper deals with a longitudinal semi‐parametric regression model in a generalised linear model setup for repeated count data collected from a large number of independent individuals. To accommodate the longitudinal correlations, we consider a dynamic model for repeated counts which has decaying auto‐correlations as the time lag increases between the repeated responses. The semi‐parametric regression function involved in the model contains a specified regression function in some suitable time‐dependent covariates and a non‐parametric function in some other time‐dependent covariates. As far as the inference is concerned, because the non‐parametric function is of secondary interest, we estimate this function consistently using the independence assumption‐based well‐known quasi‐likelihood approach. Next, the proposed longitudinal correlation structure and the estimate of the non‐parametric function are used to develop a semi‐parametric generalised quasi‐likelihood approach for consistent and efficient estimation of the regression effects in the parametric regression function. The finite sample performance of the proposed estimation approach is examined through an intensive simulation study based on both large and small samples. Both balanced and unbalanced cluster sizes are incorporated in the simulation study. The asymptotic performances of the estimators are given. The estimation methodology is illustrated by reanalysing the well‐known health care utilisation data consisting of counts of yearly visits to a physician by 180 individuals for four years and several important primary and secondary covariates.     

Empirical Likelihood for the Additive Hazards Model with Current Status Data

We investigate empirical likelihood for the additive hazards model with current status data. An empirical log-likelihood ratio for a vector or subvector of regression parameters is defined and its limiting distribution is shown to be a standard chi-squared distribution. The proposed inference procedure enables us to make empirical likelihood-based inference for the regression parameters. Finite sample performance of the proposed method is assessed in simulation studies to compare with that of a normal approximation method, it shows that the empirical likelihood method provides more accurate inference than the normal approximation method. A real data example is used for illustration.     

On the Joint Estimation of Heterogeneous Technologies,Technical, and Allocative Inefficiency

In this article, we provide a semiparametric approach to the joint measurement of technical and allocative inefficiency in a way that the internal consistency of the specification of allocative errors in the objective function (e.g., cost function) and the derivative equations (e.g., share or input demand functions) is assured. We start from the Cobb–Douglas production and shadow cost system. We show that the shadow cost system has a closed-form likelihood function contrary to what was previously thought. In turn, we use the method of local maximum likelihood applied to a system of equations to obtain firm-specific parameter estimates (which reveal heterogeneity in production) as well as measures of technical and allocative inefficiency and its cost. We illustrate its practical application using data on U.S. electric utilities.     

能效标识对节能产品选择的引导效用分析——基于京东家电线上销售的实证检验

搜集冰箱、洗衣机、空调三种大家电的线上销售数据,通过描述性分析、组间差异比较、多元回归分析等方式分析能效标识的市场引导效果。结果显示消费者对不同等级家电产品的选择量存在差异,但不同能效等级间消费者满意度并无明显差异,能效等级并非是影响消费者选择和满意度的显著因素。     

大数据背景下产业链内部间隙弥补与企业运营效率提升

近年来,电子商务从产生到不断壮大,越来越多地受到相关信息技术和商业模式影响。大数据分析和数据挖掘技术逐渐运用于各行各业,电子商务及相关交易作为典型的经济活动,其相互交融与影响对产业经济发展具有重要意义。然而,渠道完备化的电子商务产业链整合由于部分机制的低效性,其内部存在基于要素与终端、数据融通、需求满足层面的诸多间隙,需要通过大数据等技术支撑及渠道、市场的有效对接实现产业链企业的整合。通过对这些作用机制及优化路径的研究发现：应通过价值提升维度实现大数据在产业链内部企业融通中的应用,提高其在目标群体识别和需求预测中的应用,同时提高大数据在企业布局推广中的应用,以有效提升企业运营效率。     

加强高校机关效能建设

加强高校机关效能建设是当前高校求得快速发展的必然要求。详细阐述了高校机关效能建设的基本内涵,对高校机关效能建设的必要性、有关原则进行了分析,从机关职能部门的调整、工作人员队伍建设、制度建设、信息化和办公现代化建设四方面对当前高校机关效能建设中应注意抓好的有关工作进行一些探讨。     

Modified maximum likelihood estimator under the Jones and Faddy's skew t-error distribution for censored regression model

It is well-known that classical Tobit estimator of the parameters of the censored regression (CR) model is inefficient in case of non-normal error terms. In this paper, we propose to use the modified maximum likelihood (MML) estimator under the Jones and Faddy''s skew t-error distribution, which covers a wide range of skew and symmetric distributions, for the CR model. The MML estimators, providing an alternative to the Tobit estimator, are explicitly expressed and they are asymptotically equivalent to the maximum likelihood estimator. A simulation study is conducted to compare the efficiencies of the MML estimators with the classical estimators such as the ordinary least squares, Tobit, censored least absolute deviations and symmetrically trimmed least squares estimators. The results of the simulation study show that the MML estimators work well among the others with respect to the root mean square error criterion for the CR model. A real life example is also provided to show the suitability of the MML methodology.