Driving Low-Income Mothers to Greater Success: The Impact of Ride-hailing on Employment and Income

推动低收入母亲取得更大成功：网约车对就业和收入的影响

• 批准号: 1851862
• 负责人: Lee Branstetter
• 金额: $ 28.51万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1851862&HistoricalAwards=false
• 关键词: Driving; Low; Income; Mothers; Greater

This research project will use new research methods to investigate whether providing subsidized or free transportation to low-income mothers will increase their labor force participation and employment. It does so by providing free or subsidized transportation to a selected group of low income mothers and comparing their labor market efforts and outcomes to low income mothers who do not receive transport subsidy. The research will answer two specific questions: (i) will providing subsidized ride-hailing services to the poor enable better access to employment, training, and social services? (ii) will subsidized transportation raise labor force participation and generate benefits that outweigh the costs? Low-skilled workers in urban America are often concentrated in areas that are far from jobs that match their skills. The high cost of transportation poses special problems for low-income mothers with children, given their child care responsibilities making it difficult and costly for them to find jobs if they rely on public transportation. New technology that makes ride-hailing, such as those provided by UBER and LYFT, possible offers flexible, convenient, and relatively inexpensive transportation that does not require private car ownership. The results of this research will help increase labor market participation and employment of low-income mothers, thus improving the living standards of these mothers.This project will empirically test the hypothesis that reducing transportation cost to low income mothers will increase their labor market participation and employment, using a large-scale randomized control trial (RCT). Leveraging the emergence of ride-hailing as a new transportation option, the PIs will provide free rides to the treatment group of low-income mothers and compare employment and other outcomes to a demographically equivalent control group. The PIs will work in partnership with UBER technologies and will exploit the diffusion of smartphones among the poor to track the impact of lower transportation costs on employment and wages. GPS technology will also be extensively used to track the mobility of participants as they travel to search for, and go to work. In addition to self-reported data collected from participants, the PIs will use data collected by local governments to supplement the research efforts. The results of this research will help increase labor market participation and employment of low-income mothers, thus improving the living standards of these mothersThis 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.

该研究项目将使用新的研究方法来调查向低收入母亲提供补贴或自由运输是否会增加其劳动力参与和就业。 这样做是通过向选定的一组低收入母亲提供免费或补贴的运输，并将其劳动力市场的努力和结果与未获得运输补贴的低收入母亲进行比较。 该研究将回答两个具体问题：（i）将提供补贴的乘车服务以使差可以更好地获得就业，培训和社会服务？ （ii）补贴的运输是否会增加劳动力参与并产生超过成本的收益？ 美国城市的低技能工人通常集中在远离与其技能相匹配的工作的领域。高昂的运输成本给有孩子的低收入母亲带来了特殊的问题，鉴于他们的育儿责任使他们在依靠公共交通工具的情况下很难找到工作。 制造乘车的新技术，例如Uber和Lyft提供的新技术，可能会提供灵活，方便且相对便宜的运输，而不需要私有汽车的所有权。 这项研究的结果将有助于增加劳动力市场的参与和低收入母亲的雇用，从而提高这些母亲的生活水平。该项目将通过大规模的随机控制试验（RCT）（RCT），从经验上检验了以下假设，即降低低收入母亲的运输成本将增加其劳动力市场的参与和就业。 利用乘车作为新的运输选择的出现，PI将为低收入母亲的治疗组提供免费骑行，并将就业和其他结果与人口统计学上的对照组进行比较。 PI将与Uber技术合作，并将利用智能手机之间的扩散，以跟踪较低的运输成本对就业和工资的影响。 GPS技术还将广泛用于跟踪参与者搜索并上班的参与者的移动性。 除了从参与者那里收集的自我报告数据外，PI还将使用地方政府收集的数据来补充研究工作。 这项研究的结果将有助于增加劳动力市场的参与和低收入母亲的就业，从而提高这些母亲的生活水平，这反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估的评估来支持的。