Learning-by-Doing as a Propagation Mechanism
Yongsung Chang,
João Gomes () and
Frank Schorfheide
American Economic Review, 2002, vol. 92, issue 5, 1498-1520
Abstract:
This paper suggests that skill accumulation through past work experience, or "learning-by-doing" (LBD), can provide an important propagation mechanism in a dynamic stochastic general-equilibrium model, as the current labor supply affects future productivity. Our econometric analysis uses a Bayesian approach to combine micro-level panel data with aggregate time series. Formal model evaluation shows that the introduction of the LBD mechanism improves the model's ability to fit the dynamics of aggregate output and hours.
Date: 2002
Note: DOI: 10.1257/000282802762024601
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (159)
Downloads: (external link)
http://www.aeaweb.org/articles.php?doi=10.1257/000282802762024601 (application/pdf)
Access to full text is restricted to AEA members and institutional subscribers.
Related works:
Working Paper: Learning by Doing as a Propagation Mechanism (2002) 
Working Paper: Learning by Doing as a Propagation Mechanism (2002) 
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:aea:aecrev:v:92:y:2002:i:5:p:1498-1520
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
Access Statistics for this article
American Economic Review is currently edited by Esther Duflo
More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().