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Employment-Related Further Training in a Dynamic Labor Market: The Role of Business Cycles and Technological Change

Employment-Related Further Training in a Dynamic Labor Market: The Role of Business Cycles and Technological Change
动态劳动力市场中与就业相关的进一步培训:商业周期和技术变革的作用
批准号:
390744482
负责人:
Professorin Dr. Silke Anger
金额:
$0.0万
依托单位国家:
德国
项目类别:
Infrastructure Priority Programmes
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2019-12-31

项目摘要

项目成果

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中文摘要
翻译
近十年来,技术进步加快,国际竞争加剧,经济动荡更加频繁,导致对新技能和知识的需求稳步变化。如果工人想要避免对他们的职业生涯产生长期的负面影响,他们就必须不断地投资于人力资本,以保持和提高他们的生产率。到目前为止,现有的研究几乎没有证据表明动态的劳动力市场如何影响工人的培训参与,以及近年来随着经济的发展,工人重返培训的过程是如何演变的。拟议的项目旨在通过分析三个具体主题来缩小这一研究差距,这三个主题对于理解在动态劳动力市场中进一步培训的重要性至关重要。首先,我们将合并来自BERUFENET和NINS数据的数据,以分析不同职业的工作流程的自动化和数字化如何影响工人培训参与。我们还将分析不同技能组的影响是否不同,以及这种关系如何影响员工在公司和职业内部和跨行业的流动性。其次,我们将调查经济动荡,特别是工作岗位流失,如何影响工人参加培训。我们将把高度精确的登记数据与非符合资格的非符合资格者数据合并,以获得有关就业转移的信息,非符合资格者数据包含有关就业和失业人员与职业相关的进一步培训的详细信息。第三,我们增加了关于进一步培训回报的文献,并探索进一步培训是否以及在多大程度上增加了人力资本存量。我们利用非符合资格者的成人队列中的重复技能措施,并调查在进一步培训活动后工作内容和工人能力的变化。
英文摘要
Accelerated technological progress, increased international competition, and more frequent economic turbulences in the recent decade caused a steadily changing demand for new skills and knowledge. Workers have to continuously invest in human capital to maintain and increase their productivity if they want to avoid long-lasting negative consequences for their careers. To date, existing research provides only little evidence about how dynamic labor markets influence workers' training participation, and how workers' returns to training have evolved facing the economic developments in recent years. The proposed project aims at closing this research gap by analyzing three specific topics that are essential to understand the importance of further training in dynamic labor markets. First, we will merge data from the BERUFENET with NEPS data to analyze how the automatization and digitalization of work processes across different occupations have influenced workers training participation. We will also analyze whether the effects differ by skill group, and how this relationship influences the workers' mobility within and across firms and occupations. Second, we will investigate how economic turbulences, in particular job displacements, influence workers training participation. We will merge highly precise register data to obtain information on job displacements with the NEPS data that contains detailed information about occupation-related further training for both employed and unemployed persons. Third, we add to the literature on returns of further training and explore whether and how much further training increases the stock of human capital. We take advantage of repeated skill measures in the adult cohort of the NEPS and investigate changes in job contents and worker competences following further training activities.
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