A Labor Markets Research Agenda through a Job Search Platform

通过求职平台的劳动力市场研究议程

• 批准号: 1949531
• 负责人: Erica Field
• 金额: $ 40.72万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949531&HistoricalAwards=false
• 关键词: Labor; Markets; Research; Agenda; through

This research will use modern economic theory and experimental methods to study how information flows affect the functioning of labor markets, especially in low income communities. Specifically, this research study whether providing accurate labor market information to both employers and job seekers leads employers to make better employment decisions and therefore increase hiring and whether the accurate information encourages workers to be truthful about their qualifications when applying for jobs as well as encourage them to invest in improving their skills. Research on the effects of information flows on labor markets have either focused on the demand side (employers) alone or on the supply side (the workers). This innovative research project looks at how information flows affect both the employer (demand) and the supplier (job seeker) in the labor market. It thus provides a more complete view of how information flows affect the functioning of labor markets. In addition to its contribution to the economics literature and education, the results of this research project will guide policies to improve the functioning of labor markets, increase employment, human capital formation, economic growth, and ultimately reduce poverty. This research project will also help establish the US as the global leader in efficient labor markets.Information frictions in labor markets can lead firms and workers to make suboptimal matching decisions, lower employment, output, and wages while increasing costly turnover. Information frictions can also lead workers to make suboptimal human capital investments. This research will use a series of RCTs to test if alleviating information frictions can change job search and hiring behavior, improve firm-worker matching, and increase human capital investment. The project will build on a labor market search and hiring platform that was developed using prior NSF support that generates rich, high-frequency data on labor supply and demand. This project will use the platform to study the effects of actual and threatened audits of applicants’ work experience on applicants’ reporting of past work experience, job search, and investment in human capital, firms' hiring decisions; and firm-applicant match quality. The use of audits to capture both supply and demand side responses to labor market information frictions as well as the effects of these frictions on human capital formation is an innovation in the study of labor markets. The results of this research will significantly contribute to the economics literature on understanding the role of information flows in efficient functioning of labor markets as well as provide inputs into policies to improve the functioning of labor markets. The results of this research could increase investment in human capital, improve matching in labor market, hence employment, wages, incomes, and economic growth.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.

这项研究将使用现代经济理论和实验方法来研究信息流如何影响劳动力市场的功能，尤其是在低收入社区中。具体而言，这项研究是否向雇主和求职者提供准确的劳动力市场信息是否会导致雇主做出更好的就业决策，从而增加雇用，以及准确的信息是否鼓励工人在申请工作时对他们的资格保持真实，并鼓励他们投资于提高技能。关于信息流对劳动力市场的影响的研究已集中在需求方（雇主）或供应方面（工人）。这个创新的研究项目探讨了信息流如何影响劳动力市场的员工（需求）和供应商（求职者）。因此，它可以更完整地了解信息流如何影响劳动力市场的运作。除了对经济学文献和教育的贡献外，该研究项目的结果还将指导政策，以改善劳动力市场的功能，增加就业，人力资本形成，经济增长，并最终减少贫困。该研究项目还将有助于将美国确立为有效劳动力市场的全球领导者。劳动力市场的信息摩擦可以使公司和工人做出次优的匹配决定，降低就业，产出和等待，同时增加成本的营业额。信息摩擦还可以导致工人进行次优的人力资本投资。这项研究将使用一系列RCT来测试减轻信息摩擦是否可以改变求职和雇用行为，改善公司工作人员的匹配并增加人力资本投资。该项目将基于劳动力市场搜索和招聘平台，该平台是使用先前的NSF支持开发的，该支持生成了有关劳动力供应和需求的丰富，高频数据。该项目将使用该平台来研究应用程序工作经验的实际和威胁性审核对应用程序对过去的工作经验，求职以及对人力资本的投资的报告，公司的雇用决定；和公司申请匹配质量。使用审计来捕获对劳动力市场信息摩擦的供应和需求侧反应，以及这些摩擦对人力资本形成的影响是劳动力市场研究的创新。这项研究的结果将极大地有助于理解信息流在劳动力市场有效运作中的作用以及提供政策以改善劳动力市场运作的投入的经济学文献。这项研究的结果可能会增加对人力资本的投资，改善劳动力市场的匹配，从而提高就业，等待，收入和经济增长。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响来审查标准的评估值得支持的。