G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13425
DP13425 Folklore
Stelios Michalopoulos
发表日期2019-01-03
出版年2019
语种英语
摘要Folklore is the collection of traditional beliefs, customs, and stories of a community passed through the generations by word of mouth. We introduce to economics a unique catalogue of oral traditions spanning approximately 1,000 societies. After validating the catalogue's content by showing that the groups' motifs reflect known geographic and social attributes, we present two sets of applications. First, we illustrate how to fill in the gaps and expand upon a group's ethnographic record, focusing on political complexity, high gods, and trade. Second, we discuss how machine learning and human-classification methods can help shed light on cultural traits, using gender roles, attitudes towards risk, and trust as examples. Societies with tales portraying men as dominant and women as submissive tend to relegate their women to subordinate positions in their communities, both historically and today. More risk-averse and less entrepreneurial people grew up listening to stories where competitions and challenges are more likely to be harmful than beneficial. Communities with low tolerance towards antisocial behavior, captured by the prevalence of tricksters getting punished, are more trusting and prosperous today. These patterns hold across groups, countries, and second-generation immigrants. Overall, the results highlight the significance of folklore in cultural economics, calling for additional applications.
主题Development Economics ; Economic History ; Macroeconomics and Growth
关键词Folklore Culture Development Values History
URLhttps://cepr.org/publications/dp13425-1
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/542239
推荐引用方式
GB/T 7714
Stelios Michalopoulos. DP13425 Folklore. 2019.
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