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Schumpeterian Growth and Endogenous Business Cycles

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  • Kerk L. Phillips

    (Brigham Young University)

Abstract

This paper looks at the linkages between growth and business cycles by bringing together two strands of literature. We incorporate a quality ladders engine of growth into an otherwise standard real business cycle model. We are interested in whether the process which leads to technological improvement over time, is also a good candidate for the process which leads to business cycles. We use a standard real business cycle approach to solve for rules of motion in our state variables and proceed to generate artificial time series. We compare the statistical properties of these series with their historical counterparts to determine if the model mimics the real world closely. One advantage our approach has over the standard approach is that the trend component is included in our artifical series just as it is in the data. Hence, we are not tied to any particular filtering method when we compare simulations with the real world data. Quantitative analysis reveals the model is capable of accounting for key features of fluctuations at various frequencies. Moreover, the model can do so without relying as heavily on highly persistent exogenous shocks as standard models must.

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Bibliographic Info

Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 0706.

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Date of creation: 01 Aug 2000
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Handle: RePEc:ecm:wc2000:0706

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  1. Aghion, P. & Howitt, P., 1990. "A Model Of Growth Through Creative Destruction," DELTA Working Papers 90-12, DELTA (Ecole normale supérieure).
  2. repec:fth:simfra:95-08 is not listed on IDEAS
  3. 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.
  4. Schlagenhauf, Don E. & Wrase, Jeffrey M., 1995. "Liquidity and real activity in a simple open economy model," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 431-461, June.
  5. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
  6. Segerstrom, Paul S & Anant, T C A & Dinopoulos, Elias, 1990. "A Schumpeterian Model of the Product Life Cycle," American Economic Review, American Economic Association, vol. 80(5), pages 1077-91, December.
  7. Scott Freeman & Dong-Pyo Hong & Dan Peled, 1999. "Endogenous Cycles and Growth with Indivisible Technological Developments," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(2), pages 402-432, April.
  8. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," NBER Working Papers 3099, National Bureau of Economic Research, Inc.
  9. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  10. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
  11. Ozlu, Elvan, 1996. "Aggregate economic fluctuations in endogenous growth models," Journal of Macroeconomics, Elsevier, vol. 18(1), pages 27-47.
  12. Canova, Fabio, 1993. "Detrending and Business Cycle Facts," CEPR Discussion Papers 782, C.E.P.R. Discussion Papers.
  13. Collard, Fabrice, 1998. "Spectral and persistence properties of cyclical growth," Journal of Economic Dynamics and Control, Elsevier, vol. 23(3), pages 463-488, November.
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Cited by:
  1. Michael R. Pakko, 2005. "Changing technology trends, transition dynamics and growth accounting," Working Papers 2000-014, Federal Reserve Bank of St. Louis.

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