Skill Flows: A Theory of Human Capital and Unemployment
Ross Doppelt
Review of Economic Dynamics, 2019, vol. 31, 84-122
Abstract:
I present a theoretical macroeconomic model that investigates the link between long-run growth and labor-market dynamics. Workers accumulate human capital on the job, while suffering human capital depreciation during unemployment. On the aggregate level, high unemployment hinders skill formation, creating a drag on growth. The model features endogenous growth, stochastic regime shifts, and a time-varying distribution of wages. Nevertheless, much of the model's value comes from the fact that it admits a sharp analytical characterization of the forces at work. I solve for a competitive equilibrium and derive conditions under which it will be efficient. (Copyright: Elsevier)
Keywords: Search theory; Endogenous growth; Unemployment; Human capital (search for similar items in EconPapers)
JEL-codes: E24 J24 J64 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://dx.doi.org/10.1016/j.red.2018.12.004
Access to full texts is restricted to ScienceDirect subscribers and institutional members. See https://www.sciencedirect.com/ for details.
Related works:
Software Item: Code and data files for "Skill Flows: A Theory of Human Capital and Unemployment" (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:red:issued:17-219
Ordering information: This journal article can be ordered from
https://www.economic ... ription-information/
DOI: 10.1016/j.red.2018.12.004
Access Statistics for this article
Review of Economic Dynamics is currently edited by Loukas Karabarbounis
More articles in Review of Economic Dynamics from Elsevier for the Society for Economic Dynamics Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().