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Learning-by-Doing and the Choice of Technology: The Role of Patience

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  • Karp, Larry
  • Lee, In Ho

Abstract

If agents learn-by-doing and are myopic, less advanced firms might adopt new technologies while more advanced ¿rms stick with the old technology. This kind of overtaking can also occur if agents are forward looking and have high discount rates. However, overtaking never occurs if agents are sufficiently patient. A finite discount rate increases the set of states at which agents adopt new technologies, so more patient agents tend to upgrade their technology more frequently.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Theory.

Volume (Year): 100 (2001)
Issue (Month): 1 (September)
Pages: 73-92

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Handle: RePEc:eee:jetheo:v:100:y:2001:i:1:p:73-92

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Web page: http://www.elsevier.com/locate/inca/622869

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References

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  1. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-65, December.
  2. Robert E Lucas, 1999. "Making a Miracle," Levine's Working Paper Archive 2101, David K. Levine.
  3. Robert J. Barro, 2012. "Inflation and Economic Growth," CEMA Working Papers 568, China Economics and Management Academy, Central University of Finance and Economics.
  4. Brezis, Elise S & Krugman, Paul R & Tsiddon, Daniel, 1993. "Leapfrogging in International Competition: A Theory of Cycles in National Technological Leadership," American Economic Review, American Economic Association, vol. 83(5), pages 1211-19, December.
  5. Cabrales, Antonio & Motta, Massimo & Thisse, Jacques-François, 1995. "On the Persistence of Leadership or Leapfrogging in International Trade," CEPR Discussion Papers 1106, C.E.P.R. Discussion Papers.
  6. Jovanovic, Boyan & Nyarko, Yaw, 1994. "The Bayesian Foundations of Learning by Doing," Working Papers 94-15, C.V. Starr Center for Applied Economics, New York University.
  7. Boyan Jovanovic & Yaw Nyarko, 1994. "Learning By Doing and the Choice of Technology," NBER Working Papers 4739, National Bureau of Economic Research, Inc.
  8. Budd, Christopher & Harris, Christopher & Vickers, John, 1993. "A Model of the Evolution of Duopoly: Does the Asymmetry between Firms Tend to Increase or Decrease?," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 543-73, July.
  9. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
  10. Krusell, Per & Rios-Rull, Jose-Victor, 1996. "Vested Interests in a Positive Theory of Stagnation and Growth," Review of Economic Studies, Wiley Blackwell, vol. 63(2), pages 301-29, April.
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Citations

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Cited by:
  1. Mateos-Planas, Xavier, 2000. "Technology adoption with finite horizons," Discussion Paper Series In Economics And Econometrics 0033, Economics Division, School of Social Sciences, University of Southampton.
  2. Margherita Scarlato & Marisa Cenci, 2004. "Istituzioni e mercato del lavoro nel Mezzogiorno d'Italia: un'analisi dinamica," GE, Growth, Math methods 0402002, EconWPA.
  3. Rivas, Javier, 2010. "The effects of the market structure on the adoption of evolving technologies," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2485-2493, December.
  4. Rob Hart, 2009. "Bad Eggs, Learning-by-doing, and the Choice of Technology," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(4), pages 429-450, April.
  5. Hill, William W. & Beatty, Sharon E., 2011. "A model of adolescents' online consumer self-efficacy (OCSE)," Journal of Business Research, Elsevier, vol. 64(10), pages 1025-1033, October.
  6. James G. Mulligan & Nilotpal Das, 2005. "Persistent Adoption of Time-Saving Process Innovations," Working Papers 05-03, University of Delaware, Department of Economics.

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