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ENDOGENOUS GROWTH AND ENDOGENOUS BUSINESS CYCLES

Published online by Cambridge University Press:  01 November 2004

LILIA MALIAR
Affiliation:
Universidad de Alicante
SERGUEI MALIAR
Affiliation:
Universidad de Alicante

Abstract

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 reallocation 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, under some parameterizations, our model can correct two shortcomings of RBC models: It can account for the persistence in output growth and the asymmetry of growth within the business cycle.

Type
ARTICLES
Copyright
© 2004 Cambridge University Press

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References

Aghion P. & P. Howitt 1992 A model of growth through creative destruction. Econometrica 60, 323351.Google Scholar
Andolfatto D. & G. MacDonald 1998 Technology diffusion and aggregate dynamics. Review of Economic Dynamics 1, 338370.Google Scholar
Balke N. & M. Wynne 1995 Recessions and recoveries in real business cycle models. Economic Inquiry 33, 640663.Google Scholar
Bental B. & D. Peled 1996 The accumulation of wealth and the cyclical generation of new technologies: A search theoretic approach. International Economic Review 37, 687718.Google Scholar
Christiano L. & M. Eichenbaum 1992 Current real-business-cycle theories and aggregate labor-market fluctuations. American Economic Review 82, 430450.Google Scholar
Coe D. & E. Helpman 1995 International R&D spillovers. European Economic Review 39, 859887.Google Scholar
Cogley T. & J. Nason 1995 Output dynamics in real-business-cycle models. American Economic Review 85, 492511.Google Scholar
Den Haan W. & A. Marcet 1990 Solving the stochastic growth model by parametrizing expectations. Journal of Business and Economic Statistics 8, 3134.Google Scholar
Freeman S., D.–P. Hong & D. Peled 1999 Endogenous cycles and growth with indivisible technological developments. Review of Economic Dynamics 2, 403433.Google Scholar
Geroski P. & C. Walters 1995 Innovative activity over the business cycle. Economic Journal 1005, 916928.Google Scholar
Griliches Z. 1988 Productivity puzzles and R&D: Another nonexplanation. Journal of Economic Perspectives 2, 921.Google Scholar
Grossmann G. & E. Helpman 1991 Innovation and Growth in the Global Economy. Cambridge, MA: MIT Press.
Hamilton J. 1989 A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57, 357384.Google Scholar
Hansen G. 1985 Indivisible labor and the business cycle. Journal of Monetary Economics 16, 309328.Google Scholar
Jones C. 1995 Time series tests of endogenous growth models. Quarterly Journal of Economics 110, 495525.Google Scholar
Jovanovic B. & S. Lach 1997 Product innovation and the business cycle. International Economic Review 1, 322.Google Scholar
Jovanovic B. & R. Rob 1990 Long waves and short waves: Growth through intensive and extensive search. Econometrica 58, 13911409.Google Scholar
Juster F. & F. Stafford 1991 The allocation of time: Empirical findings, behavioral models, and problems of measurement. Journal of Economic Literature 29, 471522.Google Scholar
Kleinknecht A. 1987 Innovation Patterns in Crisis and Prosperity: Schumpeter's Long Cycle Reconsidered. London: Macmillan.
Kortum S. 1997 Research, patenting, and technological change. Econometrica 6, 13891419.Google Scholar
Kydland F. & E. Prescott 1982 Time to build and aggregate fluctuations. Econometrica 50, 13451370.Google Scholar
Lach S. & R. Rob 1996 R&D, investment and industry dynamics. Journal of Economics and Management Strategy 2, 217249.Google Scholar
Lach S. & M. Schankerman 1989 Dynamics of R&D and investment in the scientific sector. Journal of Political Economy 4, 880904.Google Scholar
Maliar L. & S. Maliar 2003a The representative consumer in the neoclassical growth model with idiosyncratic shocks. Review of Economic Dynamics 6, 362380.Google Scholar
Maliar L. & S. Maliar 2003b Parameterized expectations algorithm and the moving bounds. Journal of Business and Economic Statistics 21, 8892.Google Scholar
Marcet A. & G. Lorenzoni 1999 The parameterized expectations approach: Some practical issues. In R. Marimon & A. Scott (eds.), Computational Methods for the Study of Dynamic Economies, pp. 143172. Oxford: Oxford University Press.
McGrattan E. & E. Prescott 2000 Is the stock market overvalued? Minneapolis Federal Reserve Bank. Quarterly Review 24 (4), 2040.Google Scholar
Romer P. 1990 Endogenous technical change. Journal of Political Economy 98, S71S103.Google Scholar
Segerstrom P. 1991 Innovation, imitation, and economic growth. Journal of Political Economy 99, 807827.Google Scholar
Sichel D. 1993 Business cycle asymmetry: A deeper look. Economic Inquiry 31, 224236.Google Scholar