Abstract
In this paper, we examine how skill loss can contribute to aggregate labor market fluctuations in the Diamond-Mortensen-Pissarides model. We develop a computationally tractable stochastic version of that model wherein workers accumulate skills on the job and face a risk of skill loss after job destruction. We find that skill heterogeneity dampens the fluctuations of labor market variables, and that introducing skill loss offsets this effect and generates additional amplification. The main forces driving this result are pro-cyclical increases in the probability of skill loss during unemployment: these provide incentives to post proportionally more vacancies during upturns by raising the surplus from employing high-skill workers. Compositional changes in the unemployment pool, on the other hand, play a negligible role for empirically plausible rates of skill depreciation, which imply a relatively slow process compared to the duration of unemployment spells.
| Original language | English |
|---|---|
| Pages (from-to) | 20-31 |
| Number of pages | 12 |
| Journal | Labour Economics |
| Volume | 50 |
| Early online date | 23 Mar 2017 |
| DOIs | |
| Publication status | Published - 1 Mar 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Research Groups and Themes
- ECON Macroeconomics
Keywords
- Diamond-Mortensen-Pissarides model
- Labor market volatility
- Skill loss
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