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Decomposing Learning by Doing in New Plants

Bibliographic Data

ID10180152
AuthorsByong-Hyong Bahk, Michael Gort
Year1993
Volume101
Issue4
Pages561-583
Publication date1993-08-01
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/261888
OpenAlexW2093356448
LanguageEN
Citations received35
References cited5

This paper examines learning by doing in the context of a production function in which the other arguments are labor, human capital, physical capital, and vintage as a proxy for embodied technical change in physical capital. Learning is further decomposed into organization learning, capital learning, and manual task learning. The model is tested with time-series and cross-section data for various samples of up to 2,150 plants over a fourteen-year period. Copyright 1993 by University of Chicago Press

Capital (architecture · Context (archaeology · Economic growth · Economics · Embodied cognition · Experiential learning · Function (biology · Geography · Human capital · Knowledge management · Learning-by-doing · Machine learning · Management · Mathematics education · Microeconomics · Physical capital · Production (economics · Proxy (statistics · Task (project management · Artificial Intelligence · Computer Science · Economic Theory and Institutions · Firm Innovation and Growth · Labor market dynamics and wage inequality · Psychology

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Citations per year1.09
Citation span1994 - 2025 (32)
Highly citedNo

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