Training in the Great Recession – Evidence from an Individual Perspective
Daniel Dietz and
Thomas Zwick ()
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2020, vol. 240, issue 4, 493-523
This paper analyses the effect of the economic crisis in the years 2008 and 2009 on individual training activities of different employee groups within establishments. We use a unique German linked employer–employee panel data set with detailed information on individual training history (WeLL-ADIAB). The so-called Great Recession can be seen as an exogenous, unexpected, and time-limited shock. Although our results cannot be interpreted in a strictly causal manner, our Diff-in-Diff analyses suggest a direct negative effect of the crisis on individual training activities in 2009 and 2010. The negative effect therefore sets in with a time lag and lasts until after the recession. Furthermore, the recession has a stronger effect for employees in unskilled jobs than for employees in skilled jobs.
Keywords: training; financial crisis; linked employer employee data set (search for similar items in EconPapers)
JEL-codes: M53 O16 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
Working Paper: Training in the Great Recession - Evidence from an Individual Perspective (2018)
Working Paper: Training in the Great Recession: Evidence from an individual perspective (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:240:y:2020:i:4:p:493-523:n:3
Access Statistics for this article
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) is currently edited by Peter Winker
More articles in Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) from De Gruyter
Bibliographic data for series maintained by Peter Golla ().