Altruism in Networks

We provide the first analysis of altruism in networks. Agents are embedded in a fixed network and care about the well‐being of their network neighbors. Depending on incomes, they may provide financial support to their poorer friends. We study the Nash equilibria of the resulting game of transfers. We show that equilibria maximize a concave potential function. We establish existence, uniqueness of equilibrium consumption, and generic uniqueness of equilibrium transfers. We characterize the geometry of the network of transfers and highlight the key role played by transfer intermediaries. We then study comparative statics. A positive income shock to an individual benefits all. For small changes in incomes, agents in a component of the network of transfers act as if they were organized in an income‐pooling community. A decrease in income inequality or expansion of the altruism network may increase consumption inequality.     

Driving Forces Behind Informal Sanctions

This paper investigates the driving forces behind informal sanctions in cooperation games and the extent to which theories of fairness and reciprocity capture these forces. We find that cooperators' punishment is almost exclusively targeted toward the defectors, but the latter also impose a considerable amount of spiteful punishment on the cooperators. However, spiteful punishment vanishes if the punishers can no longer affect the payoff differences between themselves and the punished individual, whereas the cooperators even increase the resources devoted to punishment in this case. Our data also discriminate between different fairness principles. Fairness theories that are based on the assumption that players compare their own payoff to the group's average or the group's total payoff cannot explain the fact that cooperators target their punishment at the defectors. Fairness theories that assume that players aim to minimize payoff inequalities cannot explain the fact that cooperators punish defectors even if payoff inequalities cannot be reduced. Therefore, retaliation, i.e., the desire to harm those who committed unfair acts, seems to be the most important motive behind fairness‐driven informal sanctions.     

Experimental Evidence Against the Paradigm of Mortality Risk Aversion

This article deals with the question of how societal impacts of fatal accidents can be integrated into the management of natural or man‐made hazards. Today, many governmental agencies give additional weight to the number of potential fatalities in their risk assessments to reflect society's aversion to large accidents. Although mortality risk aversion has been proposed in numerous risk management guidelines, there has been no evidence that lay people want public decisionmakers to overweight infrequent accidents of large societal consequences against more frequent ones of smaller societal consequences. Furthermore, it is not known whether public decisionmakers actually do such overweighting when they decide upon the mitigation of natural or technical hazards. In this article, we report on two experimental tasks that required participants to evaluate negative prospects involving 1–100 potential fatalities. Our results show that neither lay people nor hazard experts exhibit risk‐averse behavior in decisions on mortality risks.     

机构投资者持股偏好、筛选策略与企业社会绩效

以中国上市公司为研究对象,采用最小二乘法和两阶段最小二乘法,借助EViews工具,检验中国机构投资者持股与企业社会绩效的关系,以考察机构投资者基于企业社会绩效的持股偏好和筛选策略,选取2005年至2009年沪深两市918家上市公司为样本进行实证检验。研究结果表明,机构投资者表现出对企业社会绩效的持股偏好,在制定持股决策时会考虑企业社会绩效,尤其是近两年的企业社会绩效。进一步对机构投资者进行分类研究表明,各类机构投资者持股与企业社会绩效关系的差异性较大,仅有基金表现出类似的持股偏好。机构投资者整体和基金的持股偏好是源于筛选策略的介入,正面筛选策略比负面筛选策略对持股偏好的影响程度更大,即机构投资者制定投资决策时以正面筛选策略为主要手段,负面筛选策略为辅。     

Separable Preferences,Strategyproofness, and Decomposability

We consider strategyproof social choice functions defined over product domains. If preferences are strict orderings and separable, then strategyproof social choice functions must be decomposable provided that the domain of preferences is rich. We provide several characterization results in the case where preferences are separable only with respect to the elements of some partition of the set of components and these partitions vary across individuals. We characterize the libertarian social choice function and show that no superset of the tops separable domain admits strategyproof nondictatorial social choice functions.     

Vote‐Buying and Reciprocity

While vote‐buying is common, little is known about how politicians determine who to target. We argue that vote‐buying can be sustained by an internalized norm of reciprocity. Receiving money engenders feelings of obligation. Combining survey data on vote‐buying with an experiment‐based measure of reciprocity, we show that politicians target reciprocal individuals. Overall, our findings highlight the importance of social preferences in determining political behavior.     

Do Irrelevant Commodities Matter?

We study how to evaluate allocations independently of individual preferences over unavailable commodities. We prove impossibility results that suggest that such evaluations encounter serious difficulties. This is related to the well known problem of performing international comparisons of standard of living across countries with different consumption goods. We show how possibility results can be retrieved with restrictions on the domain of preferences, on the application of the independence axiom, or on the set of allocations to be ranked. Such restrictions appear more plausible when the objects of evaluation are allocations of composite commodities, characteristics, or human functionings rather than ordinary commodities.     

代际公平与社会偏好视角下优势金属矿产定价权分析——基于古诺均衡模型的分析框架

我国优势金属矿产定价权的缺失对我国经济增长及经济安全产生了重要影响,这让很多学者构建相应的模型来解释定价权缺失。基于此背景,本文把代际公平均衡、社会偏好均衡与古诺模型相结合,解决代际价值补偿与策略性价值补偿计量的技术难题;并通过计量分析优势金属矿产市场的需求状况和开发税费科目,获得开发补偿的相关数据,展开理论模型结论的算例验证分析。理论模型与数值模拟结论表明,代际公平均衡与社会偏好均衡由于代际价值与策略性价值的产生,提升了我国金属矿产国际贸易市场势力,但社会偏好对市场势力影响路径并非一致,利他古诺均衡、互动公平古诺均衡变动具有一致的结果,非公平厌恶的古诺均衡具有损失厌恶特征,即在考虑非公平厌恶的古诺竞争时,古诺纳什均衡随非公平厌恶的同情和嫉妒偏好单调变换。这些结论与构建的理论模型实现了可持续发展理念与价值评价思维的有效结合,拓展了矿产资源定价权缺失的理论分析框架,为相关商品贸易的定价权解释提供了新的思路。     

Commitment vs. Flexibility

We study the optimal trade‐off between commitment and flexibility in a consump‐ tion–savings model. Individuals expect to receive relevant information regarding tastes and thus they value the flexibility provided by larger choice sets. On the other hand, they also expect to suffer from temptation, with or without self‐control, and thus they value the commitment afforded by smaller choice sets. The optimal commitment problem we study is to find the best subset of the individual's budget set. This problem leads to a principal–agent formulation. We find that imposing a minimum level of savings is always a feature of the solution. Necessary and sufficient conditions are derived for minimum‐savings policies to completely characterize the solution. We also discuss other applications, such as the design of fiscal constitutions, the problem faced by a paternalist, and externalities.     

Promises and Partnership

We examine experimentally the impact of communication on trust and cooperation. Our design admits observation of promises, lies, and beliefs. The evidence is consistent with people striving to live up to others' expectations so as to avoid guilt, as can be modeled using psychological game theory. When players exhibit such guilt aversion, communication may influence motivation and behavior by influencing beliefs about beliefs. Promises may enhance trustworthy behavior, which is what we observe. We argue that guilt aversion may be relevant for understanding strategic interaction in a variety of settings, and that it may shed light on the role of language, discussions, agreements, and social norms in these contexts.     

Desired Risk: Broadening the Social Amplification of Risk Framework1

Recently Kasperson et al.⁽⁶⁾ have proposed a conceptual framework, “The Social Amplification of Risk,” as a beginning step in developing a comprehensive theory of public experience of risk. A central goal of their effort is to systematically link technical assessments of risk with the growing findings from social scientific research. A key and growing domain of public risk experience is “desired” risk, but this is virtually neglected in the framework. This paper evaluates the scope of the “Social Amplification of Risk Framework,” asking whether it is applicable to desired risks, such as risk recreation (hang gliding, mountain climbing, and so forth). The analysis is supportive of the framework's applicability to the domain of desired risk.     

Statistical Treatment Rules for Heterogeneous Populations

An important objective of empirical research on treatment response is to provide decision makers with information useful in choosing treatments. This paper studies minimax‐regret treatment choice using the sample data generated by a classical randomized experiment. Consider a utilitarian social planner who must choose among the feasible statistical treatment rules, these being functions that map the sample data and observed covariates of population members into a treatment allocation. If the planner knew the population distribution of treatment response, the optimal treatment rule would maximize mean welfare conditional on all observed covariates. The appropriate use of covariate information is a more subtle matter when only sample data on treatment response are available. I consider the class of conditional empirical success rules; that is, rules assigning persons to treatments that yield the best experimental outcomes conditional on alternative subsets of the observed covariates. I derive a closed‐form bound on the maximum regret of any such rule. Comparison of the bounds for rules that condition on smaller and larger subsets of the covariates yields sufficient sample sizes for productive use of covariate information. When the available sample size exceeds the sufficiency boundary, a planner can be certain that conditioning treatment choice on more covariates is preferable (in terms of minimax regret) to conditioning on fewer covariates.     

The Mediated Amplification of a Crisis: Communicating the A/H1N1 Pandemic in Press Releases and Press Coverage in Europe

In the aftermath of the A/H1N1 pandemic, health authorities were criticized for failures in crisis communication efforts, and the media were accused of amplifying the pandemic. Considering these criticisms, A/H1N1 provides a suitable case for examining risk amplification processes that may occur in the transfer of information from press releases to print news media during a health crisis. We integrated the social amplification of risk framework with theories of news decisions (news values, framing) in an attempt to contribute to existing research both theoretically and empirically. We conducted a quantitative content analysis of press releases disseminated by health and governmental authorities, as well as the quality and tabloid press in 10 European countries between March 2009 and March 2011. Altogether 243 press releases, 1,243 quality press articles, and 834 tabloid press articles were coded. Consistent with research on news values and framing the results suggest that quality and tabloid papers alike amplified A/H1N1 risks by emphasizing conflict and damage, presenting information in a more dramatized way, and using risk‐amplifying frames to a greater extent and risk‐attenuating frames to a lesser extent than press releases. To some extent, the quality and tabloid press differed in how risk information was presented. While tabloid press articles seemed to follow the leading quality press with regards to content and framing of health crisis coverage, they exhibited a stronger emphasis on drama and emotion in the way they presented information.     

A Social‐Cognitive Model of Pandemic Influenza H1N1 Risk Perception and Recommended Behaviors in Italy

The outbreak of the pandemic influenza H1N1 2009 (swine flu) between March and April 2009 challenged the health services around the world. Indeed, misconceptions and worries have led the public to refuse to comply with precautionary measures. Moreover, there have been limited efforts to develop models incorporating cognitive, social‐contextual, and affective factors as predictors of compliance with recommended behaviors. The aim of this study was to apply a social‐cognitive model of risk perception and individual response to pandemic influenza H1N1 in a representative sample of Italian population. A sample of 1,010 Italians of at least 18 years of age took part in a telephone survey. The survey included measures of perceived preparedness of institutions, family members and friends’ levels of worry, exposure to media campaigns (social‐contextual factors), perceived coping efficacy, likelihood of infection, perceived seriousness, personal impact, and severity of illness (cognitive evaluations), affective response and compliance with recommended behaviors. Results demonstrated that affective response fully mediated the relationship between cognitive evaluations and social‐contextual factors (with the exception of exposure to media campaigns) and compliance with recommended behaviors. Perceived coping efficacy and preparedness of institutions were not related to compliance with recommended behaviors.     

Decentralizing Risk Analysis in Large Engineered Systems: An Approach to Articulating Technical and Socioorganizational Dimensions of System Performance1

Nuclear power production in France, as the domain of one national utility and one reactor builder, has a standardized profile of technical installations, safety procedures, and personnel qualifications. Despite this relative homogeneity, discrepancies are observed from one production unit to another, notably in the area of worker-safety performance. There is a strong implication for risk analysis: varying performance cannot be attributed solely to the technical dimensions of equipment, procedures, and human skills. The authors retain as a working hypothesis that safety performance is an outcome of interactions between technical and organizational factors. Traditional risk analysis appears to be underequipped to represent such interactions. The notion of decentralized risk analysis (DRA) is introduced as a means of achieving this goal. A program of applied research carried out in a NPP facility is presented. It aims at increasing, across plant work structure, knowledge and control of these interactions specific to the given context. Systematic measurements and feedback of social representations are performed, using a three-dimensional factor space of individual and organizational values. Direct involvement of the total plant population, transfer of analytic tools, methodological continuity, interactive elaboration of data, coordination of different levels of findings with operations, follow-up and feedback of measured change, are the main features of this DRA process. In the case cited, improvement observed in safety performance parallels changes in measured social representations. The value of DRA for articulating technical and organizational dimensions of risk, and for integrating information into decision-making, is argued.     

Community is not a Place but a Relationship<Superscript>1</Superscript>: Lessons for Organizational Development

The premise of this article is that organizations need to be “organized” differently if we want to re-invigorate the power of community in contemporary life. A central theme within the current reform movement toward restorative justice is the devolution of authority from formal governmental systems to community. In order to effectively socialize young people, communities and families must perform certain functions well. As more and more societal activities take place within organizations, we face the dilemma that the weakened communities create a demand for increasing involvement of public organizations in the life of the community. Yet modern organizations do not effectively perform functions unique to families and communities. Drawing on insights from a unique community-system partnership in restorative peacemaking circles, this paper argues we may need to reinvent our organizations so that they learn to behave as members of the community. ¹This apt phrase and fundamental insight about the meaning of community came from the seminal article by Paul McCold and Benjamin Wachtel (1998).     

The Role of Interdisciplinary Analysis in Bridging the Gap Between the Technical and Human Sides of Risk Assessment1

It is readily observable that there is a wide gulf between the manner by which the lay public and the manner by which technical experts assess the risks of complex technologies and assimilate these assessments in decisions regarding the acceptance or rejection of technological options. On the public side, this gap in methods and value assessments is a major source of distrust of technical experts and disaffection with the social management of technology. From the viewpoint of the technical experts who introduce or regulate technologies, this gap is both a cauldron of frustration and a perceived justification for paternalistic technocratic decision-making that further alienates important segments of the public. It is the author's belief that unless our society learns how to progress in bridging these gaps within the framework of a comparative mode of risk-cost-benefit analysis of options, the potential net benefits of certain technologies such as commercial nuclear power could well be lost to our society. Research on public risk perception, while potentially an important component in achieving this objective, needs to be restructured from its present static orientation to meet the needs of forward-looking decision-making that accommodates dynamic learning processes of both the public and technical experts as well as the “learning curves” of technological improvements historically accompanying successful innovations. Moreover, no less attention needs to be devoted to improved benefit assessment along with ethical and equity considerations in decision-making involving the reconciliation of conflict between individual and societal interests. This paper examines the vital importance of interdisciplinary analysis in fulfilling these needs.