Groth, Christian and Wendner, Ronald (2011): Learning by investing, embodiment, and speed of convergence.
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Abstract
This paper sets up a dynamic general equilibrium model to study how the composition of technical progress affects the asymptotic speed of convergence. The following questions are addressed: Will endogenizing a fraction of the productivity increases as coming from learning by investing help to generate a low asymptotic speed of convergence in accordance with the empirical evidence? Does it matter whether learning originates in gross or net investment? The answers to both questions turn out to be: yes, a lot. The third question addressed is: Does the speed of convergence significantly depend on the degree to which learning by investing takes the embodied form rather than the disembodied form? The answer turns out to be: no. These results point to a speed of convergence on the small side of 2% per year and possibly tending to a lower level in the future due to the rising importance of investmentspecific learning in the wake of the computer revolution as the empirical evidence suggests.
Item Type:  MPRA Paper 

Original Title:  Learning by investing, embodiment, and speed of convergence 
English Title:  Learning by investing, embodiment, and speed of convergence 
Language:  English 
Keywords:  Transitional dynamics, speed of convergence, learning by investing, embodied technological progress, decomposable dynamics 
Subjects:  O  Economic Development, Innovation, Technological Change, and Growth > O4  Economic Growth and Aggregate Productivity > O41  One, Two, and Multisector Growth Models D  Microeconomics > D9  Intertemporal Choice > D91  Intertemporal Household Choice ; Life Cycle Models and Saving E  Macroeconomics and Monetary Economics > E2  Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E21  Consumption ; Saving ; Wealth 
Item ID:  29008 
Depositing User:  Ron Wendner 
Date Deposited:  24. Feb 2011 18:32 
Last Modified:  12. Feb 2013 13:31 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/29008 
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