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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w26380 |
来源ID | Working Paper 26380 |
The Drivers of Social Preferences: Evidence from a Nationwide Tipping Field Experiment | |
Bharat Chandar; Uri Gneezy; John A. List; Ian Muir | |
发表日期 | 2019-10-21 |
出版年 | 2019 |
语种 | 英语 |
摘要 | Even though social preferences affect nearly every facet of life, there exist many open questions on the economics of social preferences in markets. We leverage a unique opportunity to generate a large data set to inform the who’s, what’s, where’s, and when’s of social preferences through the lens of a nationwide tipping field experiment on the Uber platform. Our field experiment generates data from more than 40 million trips, allowing an exploration of social preferences in the ride sharing market using big data. Combining experimental and natural variation in the data, we are able to establish tipping facts as well as provide insights into the underlying motives for tipping. Interestingly, even though tips are made privately, and without external social benefits or pressure, more than 15% of trips are tipped. Yet, nearly 60% of people never tip, and only 1% of people always tip. Overall, the demand-side explains much more of the observed tipping variation than the supply-side. |
主题 | Econometrics ; Experimental Design ; Microeconomics ; Welfare and Collective Choice |
URL | https://www.nber.org/papers/w26380 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/584054 |
推荐引用方式 GB/T 7714 | Bharat Chandar,Uri Gneezy,John A. List,et al. The Drivers of Social Preferences: Evidence from a Nationwide Tipping Field Experiment. 2019. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w26380.pdf(2609KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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