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。     

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.     

An improved cluster two-stage randomized response model

In this paper, Abdelfatah and Mazloum's (2015) two-stage randomized response model is extended to unequal probability sampling and stratified unequal probability sampling, both with and without replacement. The extended models result in more efficient estimators than Lee et al.'s (2014) estimators of the proportion of the population having a sensitive attribute.     

行业协会——从制度经济学视角的解读

如果考虑到现实世界中的交易费用和信息的问题,无论是公共还是私人部门都将面临交易成本,委托代理和集体行动的困境,现实表明行业协会作为一种制度安排能够有效解决上述问题,本文指出行业协会有助于财产权利的实施和监督,并能提供公共服务,协调协会会员企业之间的冲突和提供人员培训,上述功能的实施则与选择性激励,会员密度,会员之间的协调机制和职员与会员之间的关系有关.     

城市环境保护的相对有效性评价研究

城市生态环境保护的相对有效性评价是环保工作中的重要内容 ,建立了有效性评价的指标体系 ,并引入AHP和DEA方法 ,对城市生态环保的相对效率评价进行了定量研究。     

复合免疫刺激物——大肠杆菌苗的研制及效力测定

采用对比试验方法 ,以小白鼠为实验动物 ,进行了复合免疫刺激物———大肠杆菌苗的研制及效力测定。结果表明 :试验组菌苗的保护率为 84 .6 2 % ,高于对照组、氢氧化铝胶苗组 5 3.85 %(P <0 .0 5 )、蜂胶佐剂苗组 5 8.33% (P <0 .0 5 )、空白对照组 38.4 6 % (P <0 .0 1) ;试验组小白鼠的增重率为 2 7.5 2 % ,高于对照组氢氧化铝胶苗组 2 2 .31% (P <0 .0 1)、蜂胶佐剂苗组 2 3.98% (P <0 .0 1)、空白对照组 17.2 2 % (P <0 .0 1) ;试验组免疫器官指数为 8.0 1% ,高于空白对照组 7.6 7% (P <0 .0 1)与铝胶苗组 7.96 % (P >0 .0 5 )。表明该复合免疫刺激物———大肠杆菌苗的免疫效力较好 ,复合免疫刺激物具有较强的免疫增强力 ,是一种较好的免疫佐剂。