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
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
中文摘要
近十年来,技术进步加快,国际竞争加剧,经济竞争更加频繁,导致对新技能和知识的需求不断变化。工人必须不断投资于人力资本,以保持和提高他们的生产力,如果他们想避免长期的负面影响,他们的职业生涯。到目前为止,现有的研究提供的证据很少,如何动态的劳动力市场影响工人的培训参与,以及工人的培训回报如何演变面临的经济发展,在最近几年。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,这些主题对于理解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的数据与NEPS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的培训参与。我们还将分析这种影响是否因技能组而异,以及这种关系如何影响工人在企业和职业内部和之间的流动性。第二,我们将调查如何经济约束力,特别是工作流离失所,影响工人的培训参与。我们将把用于获得工作转移信息的高度精确的登记数据与包含就业和失业人员与职业有关的进一步培训详细信息的国家就业政策数据合并。第三,我们增加了文献的回报,进一步培训,并探讨是否和有多少进一步培训增加人力资本的股票。我们利用重复的技能措施,在成人队列的NEPS和调查的工作内容和工人能力的变化,进一步的培训活动。
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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