Embodied learning by investing and speed of convergence
Christian Groth () and
Ron Wendner
Journal of Macroeconomics, 2014, vol. 40, issue C, 245-269
Abstract:
We study transitional dynamics and speed of convergence in economic growth. Based on a canonical framework the analysis revisits both “old” and “new” growth literature along three dimensions: (i) What if growth is not exogenous but endogenous and driven by learning by doing? (ii) What if technical progress is embodied rather than disembodied? And (iii) what if the vehicle of learning is gross investment as in the Arrowian tradition rather than net investment as in most recent contributions? From both a theoretical and a quantitative point of view we show that the speed of convergence (both asymptotically and in a finite distance from the steady state) depends strongly and negatively on the importance of learning in the growth engine and on gross investment being the vehicle of learning rather than net investment. And contrary to a presumption from “old growth theory”, a rising degree of embodiment in the wake of the computer revolution is not likely to raise the speed of convergence when learning by investing is the driving force of productivity increases.
Keywords: Transitional dynamics; Convergence; Learning by investing; Embodied technical progress; Decomposable dynamics (search for similar items in EconPapers)
JEL-codes: D91 E21 O41 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070414000135
Full text for ScienceDirect subscribers only
Related works:
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:eee:jmacro:v:40:y:2014:i:c:p:245-269
DOI: 10.1016/j.jmacro.2014.01.009
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().