ASSESSING THE ROBUSTNESS OF COMPOSITE INDICES RANKINGS

Ranking objects in terms of different attributes is a crucial practice that is typically sensitive to the choice of attributes' weights. In this paper we present rigorous methods to assess the extent to which the weight‐based rankings are robust to the choice of alternative weights. Empirical illustrations are provided, showing the robustness of country rankings arising from the values of the UNDP Human Development Index, the Gender‐related Development Index, or the Human Poverty Index among others. The ideas and techniques presented in this paper can be used to assess the reliability of multiattribute rankings.     

On the robustness of the results of adoption date choice studies: The case of pension accounting

This paper examines the robustness of the results of adoption date choice studies to sample selection criteria, variable set, and the approach to model building. We use the new pension accounting standard (SFAS 87) in our examination. To this end, we develop a model of the relationship between the adoption date of the pension standard and the variables commonly used in adoption date studies. The variables are: (1) Firm size (2) income change prior to the adoption date and proxies for income management; (3) tightness of debt constraints; and (4) extent of the impact of the standard on financial statements.The results are consistent with the smoothing and compensation hypotheses, but not with the size hypothesis. Debt constraints did not have a significant effect on the selection of the adoption date; but, to the extent that the funding status of pension plans is a measure of the income effect of SFAS 87, the results are also consistent with the selection of adoption date to ease accounting-based debt constraints.Further tests indicate that the results of adoption date choice studies depend on the sample selection critiera, the variable set, and the approach to model building. Future researchers should be aware of the sensitivity of the results to these factors.     

A note on the robustness of Box-Behnken designs to the unavailability of data

Box-Behnken designs and central composite designs are efficient designs for fitting second order polynomials to response surfaces, because they use relatively small numbers of observations to estimate the parameters. In this paper we investigate the robustness of Box-Behnken designs to the unavailability of observations, in the sense of finding t _max , the maximum number of arbitrary rows in the design matrix that can be removed and still leave all of the parameters of interest estimable. The results are compared to the known results for the central composite designs found in MacEachern, Notz, Whittinghill & Zhu (1995). The blocked Box-Behnken designs are equally as robust as those that are not blocked. Received December 1997     

Scalability and robustness of a network resource allocation system using market-based agents

In this paper, we consider issues associated with scalability and robustness in designing a market-based multi-agent system that allocates bandwidth in a communications network. Specifically, an empirical evaluation is carried out to assess the system performance under a variety of design configurations in order to provide an insight into network deployment issues. This extends our previous work in which we developed an application that makes use of market-based software agents that compete in decentralised marketplaces to buy and sell bandwidth resources in a network that is partitioned into regions, each with a separate market server. We investigate the average call success rate and average message load per market server, as the number of markets are scaled up in a fixed size network. The same investigations are performed in the presence of single market failures. Finally, for both the failure and non-failure cases, a trade-off is found between their average call success rates and message load per server in order to find an optimum number of regions to deploy in the network.     

A Review of Simultaneous Painvise Multiple Comparisons

Abstract  A Review of Simultaneous Pairwise Multiple Comparisons. Simultaneous pairwise comparisons can be accomplished with numerous multiple comparison procedures. The methods differ in two essential ways: the choice of critical value and the specification of the estimated standard error of the mean difference. Those methods that assume homogeneous variances are not robust to violations of this assumption. The methods are contrasted via a numerical example. Results of recent Monte Carlo work are described. A choice between the G ames -H owell , D unnett , and C ochran procedures is recommended.     

Modeling the Role of a Coordinator as a Medium of Communication in 2-Player Conflicts

This paper discusses the role of a coordinator in the 2-player conflict where the information on players' preference is incomplete. It is assumed that the coordinator has a priori prospect of feasible alternatives. First, the method of the graph model for conflict resolution (GMCR) is extended to apply to this conflict with incomplete information, and the coordination system for the conflict with incomplete information is proposed. The process operated by the coordinator uses Extended Robustness Analysis that specifies the critical conditions for the stability and Pareto efficiency of an alternative. Finally, the methodology is applied to the conflict between hydropower generation and environmental interests.     

多维视角下农村贫困的测度与分析

近年来,学者和政策制定者逐渐将贫困的研究视角从单一的收入贫困扩展到多维贫困。文章基于CFPS的2010年基线调查数据,采取Alkire和Foster提出的双界限方法,根据《中国农村扶贫开发纲要(2011-2020)》提出的目标任务选取贫困维度,对我国农村的多维贫困进行了测度,并对测度结果进行了稳健性分析。测度结果表明,我国农村多维贫困状况比收入贫困状况恶劣。维度分解结果表明,社会保障和生活质量等维度的剥夺情况比较严重。地区分解结果显示,西部地区被剥夺状况高于中、西部地区。稳健性分析结果显示,测度结果对权重的选取是稳健的。因此,我国在此10年中,应从多维视角识别农村贫困,有针对性地提高扶贫政策的有效性。     

Economic importance and structural robustness of the international pesticide trade networks

Pesticides are agricultural inputs that can significantly reduce yield losses, regulate plant growth, effectively liberate agricultural productivity, and improve food security. The availability of pesticides in economies worldwide is ensured by redistribution through international trade, with different economies playing different roles in this process. In this study, we measured and ranked the importance of economies using nine node metrics. We found that the clustering coefficient was negatively correlated with the other eight node metrics, whereas the other eight node metrics were positively correlated with each other and could be grouped into three communities (betweenness; in-degree, PageRank, authority, and in-closeness; out-degree, hub, and out-closeness). We further investigated the structural robustness of international pesticide trade networks proxied by large component size under three types of shocks to economies (node removal in descending, random, and ascending orders). The results showed that, except for the clustering coefficient, international pesticide trade networks are relatively robust under shocks to economies in ascending order but fragile under shocks to economies in descending order. By contrast, removing nodes with a clustering coefficient in ascending and descending order yielded similar robustness curves. Moreover, the structural robustness related to large component size evolved over time and exhibited an inverse U-shaped pattern.     

引力模型下多级供应链网络鲁棒性研究

收集了2000家汽车供应链企业工商数据,基于引力模型建立多级供应链网络,根据企业间的流量建立"负载-容量"模型并提出多级有向网络模型的失效节点负载分配过程,而后模拟节点失效传播供应链网络的风险开展鲁棒性研究.实验结果表明:基于引力模型构建的供应链网络具有无标度特性;在基于引力模型的多级供应链网络模型中,节点的流量负载总和可以作为识别节点系统重要性的衡量指标;可控系数和最大承载系数对供应链网络鲁棒性能具有重要的影响,为实际工作中保护网络重要节点、提高网络鲁棒性提供了研究思路.