Wage Insurance for Displaced Workers
失业工人工资保险
基本信息
- 批准号:1851679
- 负责人:
- 金额:$ 29.2万
- 依托单位:
- 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:2019-05-01 至 2023-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
PI Last Name: KovakTitle: Wage Insurance for Displaced WorkersProposal ID: 1851679Trade and automation have contributed to substantial job losses in the United States in recent decades. Such rapid changes to the labor market underscore the importance of considering innovative programs that provide financial protection to displaced workers. Wage insurance is one approach that provides both compensation for job loss and incentives to return to work. As part of the Re-Employment Trade Adjustment Assistance program, displaced workers receive up to half of the difference in wages between their old job and their new job for up to two years. The project examines how this policy influences labor market outcomes. The research specifically focuses on the amount of time people remain unemployed and their wages upon returning to work. The research, thus, is useful in exploring wage insurance as a potential alternative to standard unemployment insurance systems. Under Re-Employment Trade Adjustment Assistance (RTAA), workers over age 50 who lose their job to import competition can receive up to half of the difference in their pre-displacement and post-displacement earnings ("wage insurance"). The research uses a regression-discontinuity (RD) design based on eligibility age to estimate the causal effect of this program on labor market outcomes. Merging administrative data on trade-displaced workers with nationally representative employer-employee linked data, the project looks at the long-run effects of wage insurance on re-employment wages, unemployment durations, wage growth, and occupational quality over time at the national level. The RD estimates are used in connection with a sufficient-statistics framework to evaluate welfare effects. Workers receiving wage insurance payments may smooth consumption while accumulating human capital in a new industry or occupation. The program may, however, generate moral hazard by incentivizing workers to take lower-paying, less demanding jobs, because part of their lost wages are covered by insurance. The model quantifies the magnitude of these two effects. The project advances our understanding of wage insurance as an alternative to unemployment insurance.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.
PI姓氏:科瓦克标题:失业工人的工资保险建议ID:1851679近几十年来,贸易和自动化导致美国大量失业。劳动力市场如此迅速的变化突显了考虑为失业工人提供经济保护的创新计划的重要性。工资保险是一种既能补偿失业,又能激励人们重返工作岗位的方法。作为再就业贸易调整援助计划的一部分,失业工人在长达两年的时间内获得旧工作和新工作之间工资差额的一半。该项目考察了这一政策如何影响劳动力市场的结果。这项研究特别关注人们保持失业状态的时间和他们重返工作岗位后的工资。因此,这项研究有助于探索工资保险作为标准失业保险制度的潜在替代方案。根据再就业贸易调整援助(RTAA),50岁以上因进口竞争而失去工作的工人最多可获得流离失所前和流离失所后收入差额的一半(“工资保险”)。本研究使用基于符合资格年龄的回归-不连续(RD)设计来估计该计划对劳动力市场结果的因果影响。该项目将贸易失业工人的行政数据与具有全国代表性的雇主-雇员关联数据合并,着眼于工资保险在国家一级随时间推移对再就业工资、失业持续时间、工资增长和职业质量的长期影响。RD估计与充分统计框架一起使用,以评估福利影响。接受工资保险的工人可以在一个新的行业或职业积累人力资本的同时,促进消费。然而,该计划可能会产生道德风险,因为它会激励工人从事薪酬较低、要求较低的工作,因为他们损失的部分工资是由保险覆盖的。该模型量化了这两种影响的大小。该项目促进了我们对工资保险作为失业保险的替代方案的理解。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。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Wage Insurance and Labor Market Trajectories
工资保险和劳动力市场轨迹
- DOI:10.1257/pandp.20211093
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Hyman, Benjamin G.;Kovak, Brian K.;Leive, Adam;Naff, Theodore
- 通讯作者:Naff, Theodore
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Brian Kovak其他文献
Wage Insurance for Displaced Workers
失业工人工资保险
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Benjamin Hyman;Brian Kovak;Adam Leive - 通讯作者:
Adam Leive
Brian Kovak的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Brian Kovak', 18)}}的其他基金
Doctoral Dissertation Research in Economics and Public Policy: Employer Preference for Applicants based on Geographic Location - A Resume Audit
经济学与公共政策博士论文研究:基于地理位置的雇主对申请人的偏好 - 简历审核
- 批准号:
2018750 - 财政年份:2020
- 资助金额:
$ 29.2万 - 项目类别:
Standard Grant
相似海外基金
Regulatory compliant LLMs for customer service in banking, financial services and insurance
银行、金融服务和保险客户服务领域合规法学硕士
- 批准号:
10091477 - 财政年份:2024
- 资助金额:
$ 29.2万 - 项目类别:
Collaborative R&D
SBIR Phase I: Intelligent Interactive Guidance System for Litigated Insurance Claims
SBIR第一期:保险理赔智能互动引导系统
- 批准号:
2329603 - 财政年份:2024
- 资助金额:
$ 29.2万 - 项目类别:
Standard Grant
Accelerating Trustworthy AI: developing a first-to-market AI System Risk Management Platform for Insurance Product creation
加速可信人工智能:开发首个上市的人工智能系统风险管理平台,用于保险产品创建
- 批准号:
10093285 - 财政年份:2024
- 资助金额:
$ 29.2万 - 项目类别:
Collaborative R&D
RightIndem - AI Insurance Claims CoPilot.
RightIndem - 人工智能保险理赔副驾驶。
- 批准号:
10093983 - 财政年份:2024
- 资助金额:
$ 29.2万 - 项目类别:
Collaborative R&D
The Insurance-Debt Nexus: How risk policy keeps renewable energy bankable
保险与债务的关系:风险政策如何保持可再生能源的可融资性
- 批准号:
10056290 - 财政年份:2023
- 资助金额:
$ 29.2万 - 项目类别:
Small Business Research Initiative
Aurora - transparent co-insurance for SMEs
Aurora - 为中小企业提供透明的共同保险
- 批准号:
10060843 - 财政年份:2023
- 资助金额:
$ 29.2万 - 项目类别:
Collaborative R&D
Empirical study on risks faced by SMEs and the role of insurance
中小企业面临的风险及保险作用的实证研究
- 批准号:
23K01455 - 财政年份:2023
- 资助金额:
$ 29.2万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Racial/Ethnic Disparities in Health Care and Challenges in Insurance Plan Choices among Older People with Alzheimer’s Disease and Related Dementia: A Mixed Methods Study of Medicare Options
患有阿尔茨海默病和相关痴呆症的老年人在医疗保健方面的种族/民族差异以及保险计划选择的挑战:医疗保险选项的混合方法研究
- 批准号:
10723148 - 财政年份:2023
- 资助金额:
$ 29.2万 - 项目类别:
Customising weather index insurance for agribusiness using machine learning
使用机器学习为农业企业定制天气指数保险
- 批准号:
IE230100435 - 财政年份:2023
- 资助金额:
$ 29.2万 - 项目类别:
Early Career Industry Fellowships
Transforming Insurance with Aurora's Algorithmic Trading Innovation (TIAATI)
利用 Aurora 的算法交易创新 (TIAATI) 改变保险业
- 批准号:
83004448 - 财政年份:2023
- 资助金额:
$ 29.2万 - 项目类别:
Innovation Loans