RAPID: Analysis of Job Posting in Recession and Recovery (JPRR)

RAPID：经济衰退和复苏时期的职位发布分析 (JPRR)

• 批准号: 2031792
• 负责人: Richard Freeman
• 金额: $ 19.91万
• 依托单位: National Bureau of Economic Research Inc
• 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: 2020-06-15 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2031792&HistoricalAwards=false
• 关键词: RAPID; Analysis; Job; Posting; Recession

AbstractThe Job Posting in Recession and Recovery project will develop near real time indicators of labor demand for new workers by occupation, geographic area, and firms using job postings downloaded daily from company websites by a job search engine. The project will link postings of a firm's economic activity to state and local economic policies and postings that will help firms and governments make informed decisions about ways to speed the recovery of employment. This is a rapid response proposal because the project will have the data and analyses available in the next six months to be able to respond quickly to requests for information from decision-makers and to support evidence-based decisions about economic policy that can be drawn from this crisis.The unprecedented discontinuous collapse in employment that began in March 2020 challenges analyses of labor demand in normal economic times. The project will explore non-linear patterns in firm employment responses in the crisis and to extract signals of recovery from changes in postings in the summer and fall of 2020. Using difference-in-difference methodologies, the project will examine the effect of state or local government policies and of firm human resource policies on changes in postings for different occupations. Using daily data, the project will apply high frequency econometric and statistical techniques to develop indices of labor demand. The project will complement supply side unemployment claimant reports by constructs on labor demand using high frequency near real time data and by differentiating on firm, occupation, industry and area.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.

在经济衰退和复苏项目的工作张贴将开发近真实的时间指标的劳动力需求的新工人的职业，地理区域和公司使用的工作张贴下载每天从公司网站的工作搜索引擎。该项目将把公司经济活动的发布与州和地方经济政策以及帮助公司和政府就如何加快就业复苏做出明智决定的发布联系起来。这是一个快速反应提案，因为该项目将在未来6个月内获得数据和分析，以便能够快速响应决策者的信息请求，并支持从此次危机中得出的基于证据的经济政策决策。2020年3月开始的前所未有的不连续就业崩溃挑战了正常经济时期的劳动力需求分析。该项目将探索危机中企业就业反应的非线性模式，并从2020年夏季和秋季的职位变化中提取复苏信号。该项目将使用差异中的差异方法，审查州或地方政府政策以及公司人力资源政策对不同职业职位变动的影响。利用日常数据，该项目将应用高频计量经济学和统计技术来制定劳动力需求指数。该项目将通过使用高频率的近真实的时间数据构建劳动力需求，并通过区分公司，职业，行业和地区来补充供应方失业索赔报告。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。