Doctoral Dissertation Research in DRMS: Expectation Bias and the Gender Wage Gap in the Online Gig Economy

DRMS 博士论文研究：在线零工经济中的期望偏差和性别工资差距

• 批准号: 1824432
• 负责人: Yili Hong
• 金额: $ 1.59万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824432&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; DRMS; Expectation

The gender wage gap (i.e., women receiving less than men for equivalent work) in traditional labor markets has been attributed in part to a motherhood penalty and to women having a preference of job flexibility. There is preliminary evidence suggesting there is also a gender wage gap in the gig economy. If so, it poses a puzzle to the extent that neither the motherhood penalty nor flexibility preference explanations are readily applicable to the online gig economy. This Doctoral Dissertation Improvement Grant research seeks to confirm the existence of the gender wage gap in the online gig economy and explore a potential supply side explanation: that the gap arises due to differences in job application strategies between men and women resulting from differences in expectations. If differences in expectations are responsible for the gap, a possible solution is to provide bidders with accurate information. This project will ascertain whether this is the case.Gender differences in job application strategies will be studied using proprietary data from a major online labor market platform. Two differences in beliefs will be explored: one arising from a difference in beliefs regarding expected wages or costs and the other arising from a difference in the perceived uncertainty of expected wages or costs. To identify which difference in beliefs is at work, the research will combine results from a large-scale survey of labor market expectations with an information experiment in which expectations will be systematically manipulated. Overall, this project can provide insights on how information policy may reduce or eliminate expectation biases and therefore narrow the gender wage gap.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在传统劳动力市场中，性别工资差距（即接受同等工作的男性少的妇女）部分归因于母亲的惩罚和偏爱工作灵活性的妇女。 有初步证据表明，零工经济中也存在性别工资差距。如果是这样，这会带来难题，以至于母亲的惩罚和灵活性偏好解释都不适用于在线零工经济。这项博士学位论文的改进赠款研究旨在确认在线零工经济中性别工资差距的存在，并探索潜在的供应方面的解释：由于期望差异而导致的男性和女性之间的工作应用策略差异，因此差距造成。如果期望差异是造成差距的原因，则可能的解决方案是为竞标者提供准确的信息。该项目将确定是否是这种情况。将使用来自主要在线劳动力市场平台的专有数据来研究工作申请策略中的性别差异。将探讨信念上的两个差异：一种是由关于预期工资或成本的信念的差异而引起的，另一个是由于预期工资或成本的不确定性差异而产生的。为了确定信念的差异在起作用，该研究将结合对劳动力市场期望的大规模调查的结果与信息实验，其中将系统地操纵期望。总体而言，该项目可以提供有关信息政策如何减少或消除期望偏见的见解，从而缩小性别工资差距。该奖项反映了NSF的法定任务，并认为使用基金会的知识分子和更广泛的影响审查标准，被认为值得通过评估来获得支持。

项目成果

Gender Wage Gap in Online Gig Economy and Gender Differences in Job Preferences

在线零工经济中的性别工资差距和工作偏好的性别差异

• 发表时间: 2018
• 期刊: International Conference on Information Systems (ICIS
• 作者: Liang, Chen;Hong, Yili;Gu, Bin;Peng, Jing
• 通讯作者: Peng, Jing