EAGER: Using eye tracking to study migrant remittances and its welfare implications

EAGER：利用眼球追踪研究移民汇款及其福利影响

• 批准号: 1649921
• 负责人: Angelino Viceisza
• 金额: $ 19.98万
• 依托单位: Spelman College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1649921&HistoricalAwards=false
• 关键词: EAGER; Using; eye; tracking; study

The National Science Foundation uses the Early-concept Grants for Exploratory Research (EAGER) funding mechanism to support exploratory work in its early stages on untested, but potentially transformative, research ideas or approaches. This EAGER project was awarded as a result of the invitation in the Dear Colleague Letter NSF 16-080 to proposers from Historically Black Colleges and Universities to submit proposals that would strengthen research capacity of faculty at the institution. The project at Spelman College aims to use data in the form of eye tracking to study actual migrant remittance decisions in partnership with RemitRight, an online startup company. The project will strengthen research capacity and provide educational opportunities to undergraduate students at Spelman College. Migrant remittances are a significant driver of global development. Nonetheless, sending remittances remains costly. The creation of publicly available online or mobile comparison databases containing information on the cost, speed, and reliability of sending remittances is one of the most efficient means to increase transparency and reduce transaction costs. This in turn requires such databases to be simple, accessible, and user-friendly. This study will partner with a company that has built and maintains a World Bank-certified metasearch platform for online money transfers, to test behavioral foundations of comparison-shopping. The main novelty of the study is the use of eye tracking to unpack "the black box" of experimentally elicited and naturally-occurring migrant remittance decisions. In so doing, the study sheds light on the behavioral foundations of search, choice, and information; how neuroeconomic data can be used to improve site customization and online or mobile comparison-shopping; and on the resulting welfare effects that couldaccrue to migrants and recipients. From a broader standpoint, the study will also provide evidence for how refined neureconomic data can be used to craft development policy. This EAGER project is co-funded by the Directorates for Social, Behavioral & Economic Sciences and Education & Human Resources.

美国国家科学基金会使用早期概念探索性研究资助 (EAGER) 资助机制来支持早期阶段的探索性工作，涉及未经测试但具有潜在变革性的研究想法或方法。该 EAGER 项目的获奖是由于《亲爱的同事信 NSF 16-080》中邀请历史悠久的黑人学院和大学的提案者提交提案，以加强该机构教师的研究能力。斯佩尔曼学院的该项目旨在与在线初创公司 RemitRight 合作，使用眼球追踪形式的数据来研究实际的移民汇款决策。该项目将加强研究能力，并为斯佩尔曼学院的本科生提供教育机会。移民汇款是全球发展的重要推动力。尽管如此，汇款的成本仍然很高。创建包含汇款成本、速度和可靠性信息的公开在线或移动比较数据库是提高透明度和降低交易成本的最有效手段之一。 这反过来要求此类数据库简单、可访问且用户友好。 这项研究将与一家建立并维护世界银行认证的在线汇款元搜索平台的公司合作，以测试比较购物的行为基础。 该研究的主要新颖之处在于利用眼动追踪来解开实验引发的和自然发生的移民汇款决策的“黑匣子”。通过这样做，该研究揭示了搜索、选择和信息的行为基础；如何使用神经经济数据来改进网站定制以及在线或移动比较购物；以及由此可能给移民和接受者带来的福利影响。从更广泛的角度来看，该研究还将为如何使用精细的神经经济数据来制定发展政策提供证据。该 EAGER 项目由社会、行为和经济科学以及教育和人力资源理事会共同资助。