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Title: A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies

Author(s): Elhanan Helpman and Manuel Trajtenberg

Publication Date: December 1994

Keyword(s): General Purpose Technology, Growth and Productivity

Programme Area(s): International Macroeconomics

Abstract: We develop a model of growth driven by successive improvements in `General Purpose Technologies' (GPTs), such as the steam engine, electricity, or micro-electronics. Each new generation of GPTs prompts investments in complementary inputs and impacts the economy after enough such compatible inputs become available. The long-run dynamics take the form of recurrent cycles: during the first phase of each cycle output and productivity grow slowly or even decline, and it is only in the second phase that growth starts in earnest. The historical record of productivity growth associated with electrification, and perhaps also of computerization lately, may offer supportive evidence for this pattern. In lieu of analytical comparative dynamics, we conduct simulations of the model over a wide range of parameters, and analyse the results statistically. We extend the model to allow for skilled and unskilled labour, and explore the implications for the behaviour over time of their relative wages. We also explore diffusion in the context of a multi-sector economy.

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Bibliographic Reference

Helpman, E and Trajtenberg, M. 1994. 'A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=1080