Lebesgue measure and social choice trade-offs

Summary An Arrovian social choice rule is a social welfare function satisfying independence of irrelevant alternatives and transitivity of social preference. Assume a measurable outcome spaceX with its (Lebesgue) measure normalized to unity. For any Arrovian rule and any fractiont, either some individual dictates over a subset ofX of measuret or more, or at least a fraction 1–t of the pairs of distinct alternatives have their social ordering fixed independently of individual preferences. Also, for any positive integer (less than the total number of individuals), there is some subsetH of society consisting of all but persons such that the fraction of outcome pairs (x, y) that are social ranked without consulting the preferences of anyone inH, whenever no individual is indifferent betweenx andy, is at least 1–1/4.We are grateful to Roy Mathias and Daniel Waterman for help with some technical matters, and to chairman Jim Follain and the Syracuse University Economics Department for financing the exchange that launched this project. Campbell's research was funded by National Science Foundation grants, SES 9007953 and SES 9209039.     

What's wrong with strategy?

Why is it that successful strategies are rarely developed as a result of formal planning processes? What is wrong with the way most companies go about developing strategy? Andrew Campbell and Marcus Alexander take a common sense look at why the planning frameworks managers use so often yield disappointing results. Companies often fail to distinguish between purpose (what an organization exists to do) and constraints (what an organization must do in order to survive), the authors say. Many executives mistakenly believe, for example, that satisfying stakeholders is an objective that drives thinking about strategy. In fact, it's a constraint, not an objective. Companies that don't win the loyalty of stakeholders will go out of business. Strategy is not about plans but about insights, the authors add. Strategy development is the process of discovering and understanding insights and should not be confused with planning, which is about turning insights into action. Furthermore, because executives develop most of their insights while actually doing the real work of running a business, it is important for companies not to separate strategy development from implementation. Is there a better way? The answer is not new planning processes or more effort. Instead, managers must understand two fundamental points: the benefit of having a well-articulated, stable purpose and the importance of discovering, understanding, documenting, and exploiting insights about how to create value.     

Disclosure of Private Information and Reduction of Uncertainty: Environmental Liabilities in the Chemical Industry

We investigate the potential uncertainty-reducing role of accounting information in the context of contingent Superfund liability valuation. We first develop theoretical arguments for the way reduction of uncertainty regarding these contingent liabilities is expected to affect security prices. Empirical proxies are developed for two types of uncertainty surrounding contingent Superfund liabilities: site uncertainty and allocation uncertainty. In a valuation framework, we then investigate whether financial statement disclosures and accruals reduce uncertainty and thereby affect security valuation. Specifically, we analyze the interaction of private information contained in firm disclosures and accruals with inherent uncertainty surrounding contingent Superfund liabilities. Results suggest that in a regulatory environment allowing substantial reporting discretion, firm-provided financial statement information affects valuation of contingent Superfund liabilities by reducing uncertainty. Further, we find that information revealed through accruals versus disclosures is differentially effective at reducing site and allocation uncertainty.     

Measuring abnormal daily trading volume for samples of NYSE/ASE and NASDAQ securities using parametric and nonparametric test statistics

We extend prior research on the empirical properties of daily trading volume and methods to detect abnormal trading volume in two ways. We compare the performance of a nonparametric test statistic with the parametric test statistic used in prior research and we study samples of NASDAQ securities as well as samples of NYSE/ASE securities. Prior research has focused exclusively on NYSE securities. We find the nonparametric test statistic is more powerful in detecting abnormal trading volume than the parametric test statistic in both samples of NYSE/ASE and NASDAQ securities. We also document that abnormal trading volume will be detected more often in samples of NYSE/ASE securities compared to NASDAQ securities.     

"坚持有所为,有所不为"专访天津防织工业大学校长张宏伟

<中国纺织>:天津工业大学在科学技术创新、重大科学技术成果转化和高新技术产业化中取得不少突破,促进纺织工业科技进步做出了贡献,并获得中国纺织工业协会科学技术贡献奖.请您谈一下天津工业大学目前的产学研结合的状况如何?     

苏拉:彰显科枝的力量专访苏拉纺织系统(苏州)有限公司总经理徐林峰先生

<中国纺织>:苏拉宣称苏拉成功要素之一就是技术革新领先,那么苏拉如何看待技术创新在市场竞争中的重要性?苏拉怎样做到在纺纱设备技术创新方面始终保有绝对优势?     

"担心美中贸易遇新阻碍"

面临新的自由贸易时代,中国纺织服装业极为关注像杰西潘尼(J.C.Penney)这样的大型纺织品服装零售商在中国的采购行动和计划.本刊记者在该公司董事长兼首席执行官瓦尼萨·卡斯塔格娜(Vanessa Castagna)与中国纺织工业协会会长杜钰洲会见之际,就杰西潘尼经营状况、对中国纺织品服装供应商的看法,尤其是配额取消后中美纺织品贸易形势等进行了深入采访.     

Measurement of patient-reported outcomes. 1: The search for the Holy Grail

Abstract

Patient-reported outcome measures (PROMs) are used to collect information directly from patients. They may cover several different types of outcomes ranging from symptoms, functioning, utility, satisfaction, through to quality-of-life (QoL). They generally consist of self-completed questionnaires that can be administered by means of hard copies or in a range of electronic formats. PROMs vary considerably in terms of the constructs they assess, the care with which they are developed, and their scientific quality. However, none of the PROMs available approach the quality of measurement achieved by measures/instruments used in physics. PROs are examples of latent variables. These are not directly observable, but can be inferred from, for example, responses to a questionnaire. The only measure of a latent variable that approaches the quality of measurement achieved by the physical sciences is the Lexile Framework for Reading. This framework is based on a construct theory that grew out of an analysis of several available reading measures. A specification equation was generated that was able to link the construct theory to scores obtained with the Lexile measure. A fundamental requirement of this quality of measurement is that the data collected with the model fit Rasch Measurement Theory (RMT). It is argued that PROM developers should aspire to match this level of measurement sophistication if their instruments are to provide valid insights into the impacts of disease and its treatment.     

The relationship between risk experience and risk response: a study of farmers and climate change

Within the existing literature, the role of experience of risk on attitudinal and behavioural risk response has been relatively neglected. Recent research that draws on the psychological distance of climate change as a concept notes the importance of local, significant experience as a driver for encouraging appropriate response. The experience of flooding was used as the stimulus in this paper, and emphasis placed on whether direct and/or indirect experience of flood risk is associated with different responses to climate change risk. In order to explore the relationship between climate change risk experience and response in the form of on-farm mitigation and adaptation, this paper draws on a case study of farmers in England, many of whom have experienced flooding. Results from a quantitative survey undertaken with 200 farmers in Gloucestershire, England are discussed. Statistical analysis found experience of flooding to be significantly associated with a heightened concern for climate change. Although also finding an association between experience and behavioural response, the sample were most likely to be taking adaptive behaviour as part of normal practice, with factors such as lack of overall concern for climate change risk and absence of information and advice likely to be the main barriers to action. Risk communication needs to further emphasise the connection between climate change and extreme weather events to allow for farmers to perceive climate change as a relevant and locally salient phenomenon, and subsequent tailored information and advice should be offered to clearly illustrate the best means of on-farm response. Where possible, emphasis must be placed on actions that also enable adaptation to other, more immediate risks which farmers in this study more readily exhibited concern for, such as market volatility.