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On the long-run evolution of technological knowledge

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  • Hendrik Hakenes
  • Andreas Irmen

Abstract

This paper revisits the debate about the appropriate differential equation that governs the evolution of knowledge in models of endogenous growth. We argue that the assessment of the appropriateness of an equation of motion should not only be based on its implications for the future, but that it should also include its implications for the past. We maintain that the evolution of knowledge is plausible if it satisfies two asymptotic conditions: Looking forwards, infinite knowledge in finite time should be excluded, and looking backwards, knowledge should vanish towards the beginning of time (but not before). Our key results show that, generically, the behavior of the processes under scrutiny is either plausible in the future and implausible in the past or vice versa, or implausible at both ends of the time line.
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  • Hendrik Hakenes & Andreas Irmen, 2007. "On the long-run evolution of technological knowledge," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 30(1), pages 171-180, January.
    • Handle: RePEc:spr:joecth:v:30:y:2007:i:1:p:171-180
    DOI: 10.1007/s00199-005-0044-8
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    1. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    2. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    3. Ola Olsson, 2005. "Technological Opportunity and Growth," Journal of Economic Growth, Springer, vol. 10(1), pages 31-53, January.
    4. Solow, Robert M., 2000. "Growth Theory: An Exposition," OUP Catalogue, Oxford University Press, edition 2, number 9780195109030.
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    Cited by:

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    2. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 331-360.
    3. Gonzales-Eiras, Martín & Niepelt, Dirk, 2004. "Sustaining Social Security," Seminar Papers 731, Stockholm University, Institute for International Economic Studies.
    4. Growiec, Jakub, 2010. "Knife-edge conditions in the modeling of long-run growth regularities," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1143-1154, December.

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