PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 2026Manchester School0 citationsOpen Access

Quantitative Effects of Employment Protection in OECD Labor Markets

View Full Paper
JNJoaquín NavalJSJosé I. Silva

Key Points

  • The research aims to quantify the effects of Employment Protection Legislation on employment and training within OECD economies.
  • Extended search and matching model incorporating education and training investment decisions
  • Examined differences in firing costs between fixed-term and unlimited contracts
  • Analyzed cross-country variations in employment, productivity, and training
  • The model effectively explains variation in employment and productivity across countries
  • Firing costs account for only 2%-20% of cross-country employment differences
  • Education significantly influences employment, productivity, and training variability

Abstract

ABSTRACT This paper explores the quantitative role played by Employment Protection Legislation over employment and on‐the‐job training in the presence of dual labor markets across OECD economies. We extend the search and matching model by introducing formal education and investment decisions in training by firms, and a gap in firing costs between fixed‐term and unlimited contracts. The quantitative analysis shows that the model accounts well for cross‐country variation in employment and reasonably well for productivity, while it captures only a modest share of the dispersion in training and temporary employment. Decomposing the sources of heterogeneity, we find that differences in firing costs explain only 2%–20% of the observed cross‐country dispersion, whereas education accounts for most of the variation in employment and productivity, and also explains part of the cross‐country differences in training.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Naval et al. (2026) studied this question.

synapsesocial.com/papers/6980ffc6c1c9540dea81283ehttps://doi.org/10.1111/manc.70036
Ask AI
Helpful
Bookmark
Share
View Full Paper