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Endogenous Growth And Endogenous Business Cycles


This paper presents a computable general equilibrium model of endogenous (stochastic) growth and cycles that can account for two key features of the aggregate data: balanced growth in the long-run and business cycles in the short-run. The model is built on Schumpeter's idea that economic development is the consequence of the periodic arrival of innovations. There is growth because each subsequent innovation leads to a permanent improvement in the production technology. Cycles arise because innovations trigger a re-allocation of resources between production and R&D. The quantitative implications of the calibrated version of our model are very similar to those of Kydland and Prescott's (1982) model. Moreover, our model can correct two serious shortcomings of RBC models: it can account for the persistence in output growth and the asymmetry of growth within the business cycle.

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Article provided by Cambridge University Press in its journal Macroeconomic Dynamics.

Volume (Year): 8 (2004)
Issue (Month): 05 (November)
Pages: 559-581

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Handle: RePEc:cup:macdyn:v:8:y:2004:i:05:p:559-581_04
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  9. David Andolfatto & Glenn MacDonald, 1998. "Technology Diffusion and Aggregate Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 338-370, April.
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  19. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.
  20. Griliches, Zvi, 1988. "Productivity Puzzles and R&D: Another Nonexplanation," Journal of Economic Perspectives, American Economic Association, vol. 2(4), pages 9-21, Fall.
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