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

Author

Listed:
  • Chase Coleman

    (Stern School, New York University)

  • Kerk Phillips

    (Department of Economics, Brigham Young University)

Abstract

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.

Suggested Citation

  • Chase Coleman & Kerk Phillips, 2013. "Can Uncorrelated Shocks Generate Aggregate Autocorrelation?: Business Cycle Persistence in a Model with Endogenous Growth and Fluctuations," BYU Macroeconomics and Computational Laboratory Working Paper Series 2013-03, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    • Handle: RePEc:byu:byumcl:201303
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    References listed on IDEAS

    as
    1. Sergio Rebelo, 2005. "Real Business Cycle Models: Past, Present and Future," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 217-238, June.
    2. 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.
    3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    4. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    5. repec:fth:simfra:95-08 is not listed on IDEAS
    6. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 43-61.
    7. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    8. repec:fth:waterl:9503 is not listed on IDEAS
    9. 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.
    10. 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.
    11. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    12. Maliar, Lilia & Maliar, Serguei, 2004. "Endogenous Growth And Endogenous Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 8(5), pages 559-581, November.
    13. Sergio Rebelo, 2005. "Real Business Cycle Models: Past, Present and Future," RCER Working Papers 522, University of Rochester - Center for Economic Research (RCER).
    14. Phillips, Kerk L. & Wrase, Jeff, 2006. "Is Schumpeterian `creative destruction' a plausible source of endogenous real business cycle shocks?," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 1885-1913, November.
    15. 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.
    16. 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 1077-1091, December.
    17. 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.
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    More about this item

    Keywords

    autocorrelation; dynamic stochastic general equilibrium; business cycles; technology persistence; Schumpeterian; economic growth; GDP; TFP;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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