Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non‐stationary Volatility

In this paper, we consider the deterministic trend model where the error process is allowed to be weakly or strongly correlated and subject to non‐stationary volatility. Extant estimators of the trend coefficient are analysed. We find that under heteroskedasticity, the Cochrane–Orcutt‐type estimator (with some initial condition) could be less efficient than Ordinary Least Squares (OLS) when the process is highly persistent, whereas it is asymptotically equivalent to OLS when the process is less persistent. An efficient non‐parametrically weighted Cochrane–Orcutt‐type estimator is then proposed. The efficiency is uniform over weak or strong serial correlation and non‐stationary volatility of unknown form. The feasible estimator relies on non‐parametric estimation of the volatility function, and the asymptotic theory is provided. We use the data‐dependent smoothing bandwidth that can automatically adjust for the strength of non‐stationarity in volatilities. The implementation does not require pretesting persistence of the process or specification of non‐stationary volatility. Finite‐sample evaluation via simulations and an empirical application demonstrates the good performance of proposed estimators.     

Efficient Estimation in Heteroscedastic Partially Linear Varying Coefficient Models

This article considers statistical inference for the heteroscedastic partially linear varying coefficient models. We construct an efficient estimator for the parametric component by applying the weighted profile least-squares approach, and show that it is semiparametrically efficient in the sense that the inverse of the asymptotic variance of the estimator reaches the semiparametric efficiency bound. Simulation studies are conducted to illustrate the performance of the proposed method.     

Conditional time-dependent nonparametric estimators with an application to healthcare production function

ABSTRACT

By using the probabilistic framework of production efficiency, the paper develops time-dependent conditional efficiency estimators performing a non-parametric frontier analysis. Specifically, by applying both full and quantile (robust) time-dependent conditional estimators, it models the dynamic effect of health expenditure on countries’ technological change and technological catch-up levels. The results from the application reveal that the effect of per capita health expenditure on countries’ technological change and technological catch-up is nonlinear and is subject to countries’ specific income levels.     

试论佛山企业境外投资

企业境外投资应该成为佛山市发展外向型经济的战略任务之一。佛山市企业境外投资,具备着所有权、内部化和区位等方面的相对优势。境外投资是佛山市企业占领国外市场、扩大出口的有力手段;可享受国内外双重的优惠政策和待遇;是增加外汇收入、利用外资的新型方式。九十年代,佛山市企业应注重对东南亚国家的直接投资,对国外高科技,新产品、新服务部门和行业的直接投资。     

试论强化国家创新体系

我国现有的国家创新系统存在效率低下和创新活力不强的问题。强化我国的创新工作应该采取适应市场 ,及时调整创新系统中各因素的角色 ;实现创新组织网络化达到资源共享 ;政府推动创新文化建设 ,营造创新氛围这三项措施 ,从而提高我国整体创新能力和国家创新系统效率。     

土地利用管制制度效率探讨

对于公共管理,管制是重要的管理手段。文章用经济学的观点阐述管制政策的效率原理,并在此基础上分析我国土地利用管制政策的效率,最后提出我国管制政策改进的建议和实施的条件。     

绍兴市贷款产出效率分析

通过对1991-2004年绍兴市实现的GDP与占用贷款变动关系的统计分析,指出贷款产出效率持续走低存在的问题,在分析了贷款产出效率下降的主要原因后,提出了相应的对策建议.     

利益相关者理论及其对战略管理的启示

利益相关者理论将对企业的战略管理产生深远的影响。企业应重新定位组织与环境的关系,并将利益相关者关系看作是竞争优势的新来源,从而变革战略理念和战略行动。     

高校德育低效的内因分析

高校德育低效除社会大环境的负面影响外,高校德育自身的问题也不可忽视。智德分离;不尊重学生的主体地位;忽视培育和发展学生的情感、忽视学生的差异和个性;德育与学生的生活和需要脱节;育德者的人格不适应德育的要求等德育自身的缺陷是德育低效的内在原因。     

关于股份台作制股权设置的完善探讨

股份合作制有其制度优势,特别适合小企业,资本与劳动的矛盾不是股份合作制的制度障碍,并对股权设置中的共有产权、资本与劳动关系、经营者积极性、治理结构、转让与筹资等问题提出我们的改进思路与方法。