Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.     

The Measurement of Consumption Efficiency Considering the Discrete Choice of Consumers

In this study we propose a mathematical definition of the consumption efficiency of multi-attribute products in the price–quality space. A new model, the discrete Range Adjusted Measure (RAM) model, is suggested as an empirical tool to measure the level of consumption efficiency. We further discuss the effect of consumption efficiency on the innovation incentive. Empirical work is made for the mobile phone market. We expect that the consumption efficiency concept will contribute to the extension of the traditional framework of production efficiency analysis on the one hand and to the understanding of the nature of innovation in a technology-intensive market on the other hand.JEL Classification: C67, D11, D12, D21     

A two-stage stratified Warner’s randomized response model using optimal allocation

This paper applies Kim and Wardes (2004) stratified Warners randomized response model to Mangat and Singhs (1990) two-stage randomized response model. The proposed stratified randomized response model has an optimal allocation and a large gain in precision. Hence, the estimator based on the proposed method is more efficient than Kim and Wardes (2004) and Mangat and Singhs (1990) estimators under the conditions presented in both the case of completely truthful reporting and that of not completely truthful reporting by the respondents.     

煤炭资源型城市聚集经济与城市化水平研究

运用可变权系数综合评价模型对2002年中国煤炭资源型城市城市化水平进行测度;基于1999～2002年度煤炭城市面板数据,应用随机效应模型估计煤炭城市聚集经济水平;结果表明,我国煤炭城市城市空间经济结构效率和其城市化水平并不具有正相关性,许多城市化水平相对较高的煤炭城市的聚集经济较差,并没有显示出城市化经济的优势.     

2005年人民币汇率制度改革效应实证分析

本文发现，迄今为止人民币汇率的走势实际上是一个有“突变”现象的“随机游走”过程，这种“突变”可以解释为在严格外汇管制条件下人民币长期积聚的升值压力的一次释放；特别地，2005年7月21日的汇率改革是卓有成效的，它通过加快进口增长和减缓出口增长弱化了人民币进一步升值的压力。文章进而指出，在有效监控投机资金和预防投机冲击的国内机制建立之前，“爬行式钉住汇率”是我国当前汇率政策的最佳选择，而不是简单地放宽人民币对美元汇率的浮动范围。     

论养老保险制度中政府与市场的关系

从经济学视角考察了一般意义上政府和市场关系的发展脉络。以此作为理论依据，对养老保险制度中政府与市场的职能定位做出了具体划分，进而得出了充分发挥政府和市场的共同作用，完善中国当前养老保险制度的相关启示。     

钢结构随机有限元动力分析

钢结构在应用一段时间后,物理参数和几何参数的变化将导致结构参数发生某些不确定性的改变, 这将会影响结构的力学特性.从此问题出发,通过一个算例详细阐述了用摄动随机有限元法解决此类问题的实现过程.     

我国人口老龄化与养老保险体系的完善

我国人口已进入老龄化阶段,我国人口老龄化具有数量大、扶养比高、城乡间不平衡等特点.人口老龄化对我国社会养老保险现状产生了一定影响,必须建立与完善多层次养老保险体系和农村养老保险制度,让更多的人享有社会保障.     

我国养老保险体制改革的财政学分析

我国已经并即将更为严峻地面临着人口老龄化所带来的养老保险体制的财务平衡问题。为此，必须寻找一条规避不足清偿风险、消化转制成本、实现财务平衡的改革之路。但我国目前的财政理论、财政收入结构、养老保险费的征缴以及财政支出结构都不能满足改革的要求。文章在分析我国财政困境的基础上，从财政学的角度对我国养老保险体制的改革框架做了分析。