An Aggregate Model of Technical Change
AbstractA simple aggregate growth model is presented in which technology is described by a probability distribution from which new plants are drawn. Especially good draws are viewed as technological innovations that shift the mean of the following period's plant distribution function. The resulting technical change is endogenous, random, and cumulative. In contrast to conventional growth models, the model's growth path displays nonstationary drift rather than deterministic trend, and the long-run per capita growth rate has positive rather than zero sensitivity to the model's saving parameter. Copyright 1989, the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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Bibliographic InfoArticle provided by MIT Press in its journal Quarterly Journal of Economics.
Volume (Year): 104 (1989)
Issue (Month): 4 (November)
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- Theo S Eicher & Klaas vant Veld, 2000.
"Search in Research: An Evolutionary Approach to Technical Change and Growth","
0005, University of Washington, Department of Economics.
- Theo Eicher, 2002. "Search in Research: An Evolutionary Approach to Technical Change and Growth," Computing in Economics and Finance 2002 197, Society for Computational Economics.
- Theo S Eicher & Klaas vant Veld, 2000. "Search in Research: An Evolutionary Approach to Technical Change and Growth"," Discussion Papers in Economics at the University of Washington 0005, Department of Economics at the University of Washington.
- Vaitsos, Constantine V., 2003. "Growth Theories Revisited: Enduring Questions with Changing Answers," UNU-INTECH Discussion Paper Series 9, United Nations University - INTECH.
- Castellacci, Fulvio, 2006.
"Evolutionary and new growth theories: are they converging?,"
27602, University Library of Munich, Germany.
- Fulvio Castellacci, 2007. "Evolutionary And New Growth Theories. Are They Converging?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 585-627, 07.
- Jeroen C.J.M. van den Bergh, 2007.
"Evolutionary Thinking in Environmental Economics,"
Tinbergen Institute Discussion Papers
07-018/3, Tinbergen Institute.
- G. Silverberg & B. Verspagen, 1995. "Evolutionary Theorizing on Economic Growth," Working Papers wp95078, International Institute for Applied Systems Analysis.
- Jeroen C.J.M. van den Bergh, 2004. "Evolutionary Analysis of the Relationship between Economic Growth, Environmental Quality and Resource Scarcity," Tinbergen Institute Discussion Papers 04-048/3, Tinbergen Institute.
- Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
- Bacila Nicolae, 2012. "The Implications Of State Aid To R&D On Economic Development In The European Union," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 96-101, July.
- Castellacci, Fulvio, 2011. "Theoretical models of heterogeneity, growth and competitiveness: insights from the mainstream and evolutionary economics paradigms," MPRA Paper 27525, University Library of Munich, Germany.
- repec:dgr:uvatin:2004048 is not listed on IDEAS
- Ricardo Lagos, 2006. "A model of TFP," Staff Report 345, Federal Reserve Bank of Minneapolis.
- repec:dgr:uvatin:2007018 is not listed on IDEAS
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