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Can Uncorrelated Shocks Generate Aggregate Autocorrelation?: Business Cycle Persistence in a Model with Endogenous Growth and Fluctuations

  • Chase Coleman

    (Stern School, New York University)

  • Kerk Phillips

    (Department of Economics, Brigham Young University)

This paper considers a model which incorporates Schumpeterian type growth into an otherwise standard RBC model similar to the one in Phillips & Wrase (2006). We consider a model with three sources of shocks. The first is a standard productivity shock. The second is a set of Schumpeterian innovation shocks which are industry specific and correspond to the results of an applied R&D process. The final shock is an aggregate shock to the stock of basic knowledge and arrives as a Poisson process with an arrival rate influenced by economy-wide spending on R&D. We show that this model is capable of generating an observed TFP series that is autocorrelated, even when the standard productivity shock is pure white noise.

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Paper provided by Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory in its series BYU Macroeconomics and Computational Laboratory Working Paper Series with number 2013-03.

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Length: 19 pages
Date of creation: Aug 2013
Date of revision:
Handle: RePEc:byu:byumcl:201303
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  1. Kerk L. Phillips & Jeff Wrase, 2003. "Is Schumpeterian "Creative Destruction" a Plausible Source of Endogenous Real Business Cycle Shocks?," GE, Growth, Math methods 0304001, EconWPA.
  2. Andolfatto, D. & MacDonald, G.M., 1995. "Technological Innovation, Diffusion, and Business Cycle Dynamics," Working Papers 9503, University of Waterloo, Department of Economics.
  3. Sergio Rebelo, 2005. "Real Business Cycle Models: Past, Present and Future," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 217-238, 06.
  4. King, Robert G. & Rebelo, Sergio T., 1999. "Resuscitating real business cycles," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 14, pages 927-1007 Elsevier.
  5. David Andolfatto & Glenn M. MacDonald, 1998. "Technology Diffusion and Aggregate Dynamics," Working Papers 98005, University of Waterloo, Department of Economics, revised Jan 1998.
  6. Aghion, P. & Howitt, P., 1989. "A Model Of Growth Through Creative Destruction," Working papers 527, Massachusetts Institute of Technology (MIT), Department of Economics.
  7. Lilia Maliar & Serguei Maliar, 2003. "Endogenous Growth And Endogenous Business Cycles," Working Papers. Serie AD 2003-14, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  8. Phillips, Kerk L., 1993. "Quality ladders, growth, and R&D: an assessment from U.S. industry," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 38(1), pages 239-273, June.
  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. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  11. Lucas, Robert E, Jr, 1980. "Methods and Problems in Business Cycle Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 12(4), pages 696-715, November.
  12. repec:fth:simfra:95-08 is not listed on IDEAS
  13. Walde, Klaus, 2002. "The economic determinants of technology shocks in a real business cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 27(1), pages 1-28, November.
  14. 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.
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