Continuing vocational training in times of economic uncertainty: an event-study analysis in real time

Author:

Dauth ChristineORCID,Lang Julia

Abstract

AbstractContinuing vocational training (CVT) is a key channel for employees to adapt their skills to changing requirements in the labor market due to structural changes and digitization. The COVID-19 pandemic and the energy crisis as a consequence of the war in Ukraine may have accelerated these developments. Yet, it is unclear how the economic impact of these crises affects individuals’ occupational preferences. In this study, we want to investigate how interest in CVT changes in times of economic uncertainty. We use Google Trends data for Germany and apply an event study analysis to examine how interest in CVT developed with the onset of the COVID-19 pandemic and the Russian attack on Ukraine. We find that the interest in CVT strongly declined during the first wave of the pandemic regardless of how severely a region was affected. During the second lockdown, the decline in CVT interest was more pronounced in the eastern German states where we find a general decline in search intensity since March 2020. We also consider different channels that may have influenced the demand for CVT during the pandemic. Overall, we show that during the first 2.5 years of the pandemic, the search intensity for CVT decreased on average by 12 to 19 percent, while the search intensity for online CVT increased by 39 to 45 percent. We also see a decrease in the search intensity for CVT at the beginning of the energy crisis.

Publisher

Springer Science and Business Media LLC

Reference48 articles.

1. Altig, D., Baker, S., Barrero, J.M., Bloom, N., Bunn, P., Chen, S., Davis, S., Leather, J., Meyer, B., Mihaylov, E., Mizen, P., Parker, N., Renault, T., Smietanka, P., Thwaites, G.: Economic uncertainty before and during the COVID-19 Pandemic. J. Publ. Econ. 191, 104274 (2020)

2. Amer-Mestre, J., Astigarraga, A., Lopes, M. Academic performance and e-learning in Italy, available at https://www.eui.eu/Documents/Research/New-CMS-research-pages/M-Lopes-et-al-Academic-Performance-and-E-learning-in-Italy.pdf. (2021). Accessed 8 Feb 2022

3. Askitas, N., Zimmermann, K.: Google econometrics and unemployment forecasting. Appl. Econ. q. 55(2), 107–120 (2010)

4. Autor, D.: Why are there still so many jobs? The history and future of workplace automation. J. Econ. Perspect. 29(3), 3–30 (2015)

5. Bacher-Hicks, A., Goodman, J., Mulhern, C.: Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time. J. Public Econ. 193(104345), 1–17 (2021)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3