G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15250
DP15250 Affinity, Trust, and Information
Luigi Guiso; Alexey Makarin
发表日期2020-09-04
出版年2020
语种英语
摘要Mutually beneficial trades often rely on both trust and trustworthiness. In exchanges where no history of behavior is observable, however, where does trust come from? Recent evidence suggests that the level of affinity parties in an exchange feel for each other positively affects trustworthiness and can, therefore, affect trust. We propose a simple model that predicts a positive relationship between trust beliefs, affinity, and trustworthiness and a negative relationship between the dispersion of trust beliefs and affinity level. Furthermore, the model suggests that trust should be slower to update after a shock to trustworthiness when affinity is high. We show that the model's predictions are supported by data from two unrelated datasets—a proprietary survey of Italian entrepreneurs and an extensive international survey (Eurobarometer). Finally, using data on international trade, we show that, in line with our model, adverse shocks to trustworthiness cause a reallocation of trade from low-affinity to high-affinity partners, and especially so in trust-intensive industries.
主题Public Economics
关键词Trust Affinity Trustworthiness Information acquisition
URLhttps://cepr.org/publications/dp15250
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/544225
推荐引用方式
GB/T 7714
Luigi Guiso,Alexey Makarin. DP15250 Affinity, Trust, and Information. 2020.
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