Charity Begins at Home: Cultural Differences in Social Discounting and Generosity

People often consider how their actions influence others when making decisions. However, we are not equally generous to everyone alike. Our willingness to share resources declines as a function of social distance between the decision maker and the recipient. This function is likely to be influenced by culture, but research on behavioral decision making is still lacking empirical evidence. In Western societies, individuals generally perceive themselves as autonomous and independent from others, whereas the distinction between self and close others is less sharply defined by Eastern individuals where relationships and group membership are more centralized. Therefore, the social discount function should reflect this difference in the distinction of self and others by a reduced decline in generosity over close social distances. A social decision‐making task was adapted to the intercultural context, and data were collected in Germany and China. For seven different social distances, we estimated how much money German and Chinese subjects were willing to forego to give a certain reward to another person. A hyperbolic model was fitted to the data. We found that other‐regarding generosity declines as a function of social distance independent of cultural identity. However, German subjects showed a marked drop in generosity across close social distances, which was significantly less pronounced in Chinese participants. Copyright © 2013 John Wiley & Sons, Ltd.     

任务框架及利他人格对社会折扣的影响

与自我存在一定社会距离的他人获得收益或遭受损失都会给自我带来一定的效用,这种效用随着与他人间社会距离的增加而减少,该现象被称为社会折扣。本研究采用情境式选择滴定程序,探索并比较了“为他人得益而放弃自我得益”(NG-G)、“为他人不失而放弃自我得益”(NG-NL)、“为他人得益而承担自我损失”(L-G)以及“为他人不失而承担自我损失”(L-NL)4种任务框架下的社会折扣程度。结果发现：(1)4种框架下,指数模型均比双曲模型更好地描绘了被试的社会折扣规律;(2)任务框架影响社会折扣程度,“为他人不失”框架下(含NG-NL、L-NL)的折扣程度比“为他人得益”框架下(含NG-G、L-G)低;(3)任务框架与社会距离的交互作用影响社会折扣程度。随着社会距离增加, NG-G与NG-NL框架下折扣程度的差异逐渐变小, L-G与L-NL框架下折扣程度的差异也逐渐变小;(4)社会距离与利他人格的交互作用显著,高低利他人格者的社会折扣程度只在社会距离较远时存在显著差异。上述结果表明,个体不仅存在自我损失规避倾向,也存在不同程度的他人损失规避倾向。     

环境损益的社会折扣:利他人格的影响

他人与自我之间的社会距离越远,则他人的获益或损失带给自我的效用就越小,此现象被称为社会折扣。虽然有一些研究探讨了金钱结果的社会折扣现象,但作为公共品的环境结果的社会折扣规律及其影响因素并未得到应有的研究。本研究以优劣空气天数为例,采用选择滴定程序,在损益两种情境下探索环境结果的社会折扣现象,并考察利他人格对社会折扣的影响。结果发现:(1)相比双曲模型,指数模型在损益两种情境下皆能更佳地拟合环境结果的社会折扣函数;(2)损益情境与社会距离的交互作用影响环境结果的社会折扣程度,损失情境下的社会折扣程度随社会距离的增加而变大的幅度大于收益情境;(3)利他人格在社会距离对社会折扣的影响中起调节作用。相比高利他人格者,低利他人格者的社会折扣受社会距离的影响较大。本研究对理解环境结果社会折扣和环保决策行为具有重要意义。     

人们如何设想未来：未来情景思维对个体心理和行为的影响

未来情景思维(Episodic Future Thinking, EFT)主要指人们基于当前情景或过去经历来思考、想象未来的过程, 是人们对于未来的一种设想。根据已有的行为实验和神经影像学等多个方面的研究结果, 系统论述了未来情景思维的概念和特征, 以及个体过去的生活经历及相应记忆和个体生活目标对其的影响, 通过概括和分析行为和脑神经两方面的证据来论述未来情景思维会对人们具体生活实践产生积极与消极的双向影响。当然, 未来还需要进一步加强未来情景思维研究的广度和深度, 特别是要细化未来情景思维的类型, 探讨未来情景思维可能导致的不适应行为以及影响个体心理和行为的作用机制, 从而为人们如何更积极地适应未来提供更充分的实证证据和理论构想。     

Interval estimation of gamma for an<Emphasis Type="Italic">R</Emphasis>×<Emphasis Type="Italic">S</Emphasis> table

When the underlying responses are on an ordinal scale, gamma is one of the most frequently used indices to measure the strength of association between two ordered variables. However, except for a brief mention on the use of the traditional interval estimator based on Wald's statistic, discussion of interval estimation of the gamma is limited. Because it is well known that an interval estimator using Wald's statistic is generally not likely to perform well especially when the sample size is small, the goal of this paper is to find ways to improve the finite-sample performance of this estimator. This paper develops five asymptotic interval estimators of the gamma by employing various methods that are commonly used to improve the normal approximation of the maximum likelihood estimator (MLE). Using Monte Carlo simulation, this paper notes that the coverage probability of the interval estimator using Wald's statistic can be much less than the desired confidence level, especially when the underlying gamma is large. Further, except for the extreme case, in which the underlying gamma is large and the sample size is small, the interval estimator using a logarithmic transformation together with a monotonic function proposed here not only performs well with respect to the coverage probability, but is also more efficient than all the other estimators considered here. Finally, this paper notes that applying an ad hoc adjustment procedure—whenever any observed frequency equals 0, we add 0.5 to all cells in calculation of the cell proportions—can substantially improve the traditional interval estimator. This paper includes two examples to illustrate the practical use of interval estimators considered here.The authors wish to thank the Associate Editor and the two referees for many valuable comments and suggestions to improve the contents and clarity of this paper. The authors also want to thank Dr. C. D. Lin for his graphic assistance.     

On the use of ridit analysis

Ridit analysis is statistical method for comparing ordinal-scale responses. In this paper, the extact variance and asymptotic distribution of the average ridit is developed, including the cases in which the reference group is sampled or the comparison group is finite. The appropriate use and interpretation of ridit analysis is also discussed.The authors wish to thank Andrew Klugh for this support, and the references and David Feigenbaum for their very helpful comments.