Software for Learning and for Doing Statistics

The community of statisticians and statistics educators should take responsibility for the evaluation and improvement of software quality from the perspective of education. The paper will develop a perspective, an ideal system of requirements to critically evaluate existing software and to produce future software more adequate both for learning and doing statistics in introductory courses. Different kinds of tools and microworlds are needed. After discussing general requirements for such programs, a prototypical ideal software system will be presented in detail. It will be illustrated how such a system could be used to construct learning environments and to support elementary data analysis with exploratory working style.     

Forecasting Stock Index Futures Price Volatility: Linear vs. Nonlinear Models

The study examines the relative ability of various models to forecast daily stock index futures volatility. The forecasting models that are employed range from naïve models to the relatively complex ARCH-class models. It is found that among linear models of stock index futures volatility, the autoregressive model ranks first using the RMSE and MAPE criteria. We also examine three nonlinear models. These models are GARCH-M, EGARCH, and ESTAR. We find that nonlinear GARCH models dominate linear models utilizing the RMSE and the MAPE error statistics and EGARCH appears to be the best model for forecasting stock index futures price volatility.     

Use of Statistics in the Monetary Policy of the Czech National Bank: The Case of a Country in Transition

In the presented text the authors judge the importance of statistics in the monetary policy of the Czech National Bank (CNB) over the course of the economic transformation process, with particular consideration of changing statistical needs and the possibilities and limits of statistical data exploitation in the monetary analyses. The importance of statistics lies on the level of collection and processing of statistical information and on the level of use of statistical methods to analyse data. Since the start of the 1990s the requirements for statistics were significantly influenced by monetary policy. In the period 1990–1997, monetary targeting was the primary influential factor. Since 1998, the monetary policy is influenced by inflation targeting. Statistical priorities switched from monetary data to economy and financial market data. Much progress has been made in the use of statistical methods for analysing data. Statistics available at present cover the CNB's standard monetary-policy requirements and are on par with those in developed countries. Its further development will reflect the standard changes taking place in the more advanced countries.     

北京先行经济指数研究

"北京先行经济指数"是我国第一个区域性先行经济指数,在试运行中取得了很好的效果。该指数以我国现行统计制度为基础,紧密结合北京实际,通过构造基准循环、"提取"先行指标、编制指数、返回检验等步骤,对北京先行经济指数的科学性和有效性进行了分析。先行指数超前GDP增速变化4～8个月这一重要研究结论在返回检验中得到了很好的证实。     

基于因素分析的区域旅游竞争力评价模型研究

竞争力评价是近年学术研究的热点.本文首先回顾了我国区域旅游竞争力评价的相关研究,然后从分析区域旅游竞争力的影响因素入手,构建一个评价区域旅游竞争力的多层次指标体系,并利用因子分析法对指标体系进行定量分析,建立相应的综合评价模型.     

区域旅游业竞争力评价:指标构建与方法选择

合理地设计评价指标和科学地评价区域旅游业竞争力,是区域间旅游业竞争力比较、现状问题分析以及制定对策建议的前提,也是区域旅游业竞争力理论的重要组成内容.本文在对现有研究回顾和评述的基础上,结合区域旅游业发展的实践和竞争力发展特征,构建区域旅游业竞争力综合评价指标体系,并对评价研究方法进行了探讨和选择.     

企业财务风险预警体系分析

财务风险预警是现代企业进行战略管理的重要方式之一,本文阐述了建立财务风险预警体系的意义和财务风险产生的原因,构建了企业财务风险预警指标。     

Industrial Policy and Technology Diffusion: Evidence from Paper Making Machinery in Indonesia

In this paper, we analyze the diffusion and adoption of paper making machinery in the Indonesian pulp and paper industry, from 1923 till 2000. We develop a machine level index of technological sophistication (mach), which measures the technological distance of each paper machine to the world technological frontier. The data reveal a pattern of rapid technological catch up. But catch up was not an industrywide phenomenon. Some modern firms installed state-of-the-art machinery, while others installed older vintages. The paper argues that industrial policy has played an important role in the speed and nature of diffusion of paper making machinery.     

能源-经济-环境复杂系统持续协调发展评价指标体系与方法研究——以山东省为例

详细分析影响能源、经济、环境的各种因素的基础上,从能源系统、经济系统与环境系统三个方面,构建了能源-经济-环境(3E)复杂系统持续协调发展评价指标体系,并将协调度发展水平划分为七个等级。建立了分层模糊动态的评价方法,并利用该方法对山东省的能源、经济与环境的协调发展进行了综合评价,分析了影响协调度发展的主要因素,及其应采取的主要措施。     

装备制造企业动态能力评价及其实证研究

阐释了装备制造企业动态能力的概念内涵与构成要素,设计出由市场感知、组织学习、资源获取、重构与转变、协调与控制5个动态能力一级指标和20个二级指标组成的评价指标体系,采用AHP法确定指标权重。针对指标度量的模糊性与不确定性,建立了证据推理的数据融合方法,并对江淮汽车集团动态能力进行了实证分析。