Job Search, Hiring, and Matching With Two-Sided Limited Information About Workseekers' Skills

这个项目使用了一系列实验方法来研究低效信息流在解释糟糕的劳动力市场结果中的作用。具体地说，这项研究进行了一系列实地实验和纵向调查，以了解当求职者和公司更好地了解求职者的技能和潜在生产率时，劳动力市场结果是如何变化的。试验性干预措施包括使用标准化评估来衡量求职者的技能，并以不同方式向雇主和求职者公布这些评估的结果。通过提供不同的信息，研究人员可以评估信息流对劳动力市场结果的影响。通过向求职者和雇主提供信息，这项研究是第一个研究信息流对工作匹配的供需两方面影响的研究之一。因此，研究项目的结果为制定有利于雇主和求职者的劳动力市场政策提供了重要的投入。因此，这项研究的结果将提高劳动力市场的效率，增加就业，从而刺激经济增长。该项目使用模型引导的随机实验，对公司和求职者进行实验，以量化关于求职者技能的更好信息对劳动力市场结果的影响。我们的出发点是一个求职和职位发布的模型，在这个模型中，求职者拥有不同的技能，求职者和公司都错误地观察到了这些技能。市场两边有限的信息可能会扭曲求职者和公司在求职、招聘、录用和接受方面的决定。这些扭曲会降低总就业人数、收入和生产率。实验通过随机化信息公司和求职者观察求职者在多个维度上的技能(例如计算能力、流动智力、毅力)来测试这一模型。供给侧调查衡量求职者的信念、求职情况、就业和收入。需求侧调查衡量公司的信念、招聘、工资账单、生产率和利润。与已有的劳动力市场信息摩擦研究不同，该项目同时研究了市场的供给方和需求方，将实验嵌入供求模型中，并试图将就业创造与就业转移效应分开。这项研究的结果将为提高劳动力市场效率、增加就业和经济增长的政策提供指导。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project uses a series of experimental methods to study the role of inefficient information flows in explaining poor labor market outcomes. Specifically, the research conducts a series of experiments in the field and longitudinal surveys to understand how labor market outcomes change when jobseekers and firms have better information about jobseekers' skills and potential productivity. The experimental interventions involve measuring jobseekers' skills using standardized assessments and publicizing the results of these assessments in different ways to employers and jobseekers alike. Varying the information provided allows the researchers to assess the effects of information flows on labor market outcomes. By providing information to both jobseekers and employers, this research is one of the first to study both the supply and demand side effects information flows on job matches. The results of the research project therefore provide important inputs into the formulation of labor market policies that helps both employers and jobseekers alike. The results of this research will therefore improve the efficiency of labor markets, increase employment and therefore spur economic growth. This project uses model-guided randomized experiments with firms and jobseekers to quantify the effect of better information about jobseekers' skills on labor market outcomes. The starting point is a model of job search and job posting where jobseekers have heterogenous skills and both jobseekers and firms observe these skills with error. Limited information on either side of the market can distort both jobseekers' and firms' decisions over job search, job posting, offers, and acceptances. These distortions can reduce total employment, earnings, and productivity. The experiments test this model by randomizing the information firms and jobseekers observe about jobseekers' skills in multiple dimensions (e.g. numeracy, fluid intelligence, grit). Supply-side surveys measure jobseekers' beliefs, job search, employment, and earnings. Demand-side surveys measure firms' beliefs, hiring, wage bills, productivity, and profits. Unlike existing research on information frictions in the labor market, this project studies both the supply and demand sides of the market, embeds the experiments in a model of supply and demand, and attempts to separate employment creation from employment displacement effects. The results of this research will provide guidance on policies to improve efficiency of the labor market, increase employment, 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.