Valuing Cultural Differences in Behavioral Economics

Behavioral economic research has tended to ignore the role of cultural differences in economic decision-making. The authors suggest that a systematic bias affects existing behavioral economic theory-- cognitive biases are often assumed to be universal. To examine how cultural background informs economic decision-making, and to test framing effects, morality effects, and out-group effects in a cross-cultural study, the authors conducted an experiment in the United States and China. The experiment was designed to test cultural and cognitive effects on a fundamental economic phenomenon-- how people estimate the financial values of objects over time. Results of the experiment demonstrated dramatic cultural differences in financial value estimations, as well as on the influence of variables such as framing effects. Chinese participants made higher object value estimates than Americans did, even when adjusting for differing national inflation rates. In addition, the results showed that contextual information, such as framing, morality information, and group membership affected judgments of financial values in complex ways, particularly for Chinese participants. The results underscore the importance of understanding the influence of cultural background on economic decision-making. The authors discuss the results in the context of behavioral law and economics, and propose that importing cultural competence into behavioral models can lead to cognitive debiasing, both temporary and permanent

Profile Pictures in the Digital World : Self-Photographs Predict Better Life Satisfaction

Funding: This research was funded by the Leverhulme Trust (RPG-2019-010). Data Availability Statement: The data used to support the findings of this study are available from the corresponding author upon request.Peer reviewedPublisher PD

Grey matter volume and amplitude of low-frequency fluctuations predicts consumer ethnocentrism tendency

This work was supported by the National Natural Science Foundation of China (Grant No. 71872097) awarded to Xiaoang Wan. Comments concerning this article should be sent to Prof. Xiaoang Wan at [email protected] or Dr. Jie Sui at [email protected]. CRediT authorship contribution statement Jianping Huang: Methodology, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization. Xiaoang Wan: Conceptualization, Writing - original draft, Writing - review & editing, Funding acquisition. Kaiping Peng: Conceptualization, Supervision. Jie Sui: Conceptualization, Methodology, Supervision.Peer reviewedPostprin

Teachers' Growth Mindset and Work Engagement in the Chinese Educational Context: Well-Being and Perseverance of Effort as Mediators

The current study investigated the relationships among growth mindset, work engagement, perseverance of effort and well-being for secondary school teachers in the Chinese educational context. We adopted Growth Mindset Inventory, Utrecht Work Engagement Scale (UWES), Grit Scale (Perseverance subscale), and PERMA profiles that measure five dimensions of well-being. Participants included 472 secondary school teachers from 10 secondary schools in central China. Correlation analysis showed that growth mindset, well-being, and perseverance of effort could all predict work engagement. Moreover, the structural equation model and mediation analysis further suggested that well-being and perseverance of effort could partially mediate the relationship between growth mindset and work engagement. This study permitted to advance our knowledge about the relationship between growth mindset and work engagement, which should be considered for future teaching practices and teacher development

Perceiving the Self and Emotions with an Anxious Mind : Evidence from an Implicit Perceptual Task

Funding: This research was funded by Leverhulme Trust, grant number RPG-2019-010, and by University of Aberdeen Pump Priming Award, grant number SF10237-16.Peer reviewedPublisher PD

Parameter selection for model updating with global sensitivity analysis

National Science Foundation of China (NSFC) under Grant No. 11372084 Sem PDF conforme despacho.The problem of selecting parameters for stochastic model updating is one that has been studied for decades, yet no method exists that guarantees the ‘correct’ choice. In this paper, a method is formulated based on global sensitivity analysis using a new evaluation function and a composite sensitivity index that discriminates explicitly between sets of parameters with correctly-modelled and erroneous statistics. The method is applied successfully to simulated data for a pin-jointed truss structure model in two studies, for the cases of independent and correlated parameters respectively. Finally, experimental validation of the method is carried out on a frame structure with uncertainty in the position of two masses. The statistics of mass positions are confirmed by the proposed method to be correctly modelled using a Kriging surrogate.authorsversionpublishe

Praising others differently : Neuroanatomical correlates to individual differences in trait gratitude and elevation

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Questionnaire Data From the Revision of a Chinese Version of Free Will and Determinism Plus Scale

Funding statement: This work was supported by National Nature Science Foundations of China No. 31471001 to Kaiping Peng. All data, together with their codebooks and manipulation code, are available at osf.io/t2nsw/.Peer reviewedPublisher PD