Toward an Understanding of Learning by Doing: Evidence from an Automobile Assembly Plant
Steven Levitt (),
John List () and
Journal of Political Economy, 2013, vol. 121, issue 4, 643 - 681
We investigate learning by doing using detailed data from a major auto producer's assembly plant. We focus on the acquisition, aggregation, transmission, and embodiment of the knowledge stock built through learning. We find that most knowledge was not retained by plant workers despite their importance as a learning conduit. This is consistent with the plant's systems for productivity measurement and improvement. We further explore how learning at the hundreds of processes along the production line undergirds plantwide productivity. Our results shed light on how productivity gains accrue at the plant level and how firms apply managerial inputs to expand production.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (43) Track citations by RSS feed
Downloads: (external link)
Access to the online full text or PDF requires a subscription.
Working Paper: Toward an Understanding of Learning by Doing: Evidence from an Automobile Assembly Plant (2012)
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:ucp:jpolec:doi:10.1086/671137
Access Statistics for this article
More articles in Journal of Political Economy from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().