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Schumpeterian growth and endogenous business cycles

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  • Kerk Phillips
  • Jeffrey M. Wrase

Abstract

This paper contains a dynamic general equilibrium model with an endogenous process for growth and business cycles driven partly by technological discovery and diffusion. The model integrates two branches of the literature. One is literature on Schumpeterian, or \"quality ladder,\" models, in which growth is driven endogenously by attempts to innovate in order to capture monopoly rents and in which the focus is on low-frequency fluctuations in variables. The other is the real business cycle literature, in which the focus is on high-frequency fluctuations driven by exogenous productivity shocks. The model in this paper has Schumpeterian-style low-frequency fluctuations stemming from technological discovery in the form of random successes in endogenous research and development efforts. Diffusion of innovations in applied research into basic know-how, along with random shocks to productivity, drives high-frequency fluctuations. Properties of high- and low-frequency fluctuations in data d rawn from simulations of a parameterized version of the model are compared to like properties of data drawn from the postwar U.S. economy. The model accounts for key properties of actual data without heavy reliance on the exogenous, highly persistent, and volatile shocks to productivity typically used in real business cycle analysis.

Suggested Citation

  • Kerk Phillips & Jeffrey M. Wrase, 1999. "Schumpeterian growth and endogenous business cycles," Working Papers 99-20, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:99-20
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    References listed on IDEAS

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    1. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    2. Ozlu, Elvan, 1996. "Aggregate economic fluctuations in endogenous growth models," Journal of Macroeconomics, Elsevier, vol. 18(1), pages 27-47.
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    Cited by:

    1. Pakko Michael R., 2005. "Changing Technology Trends, Transition Dynamics, and Growth Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, December.
    2. Md. Qamruzzaman & Wei Jianguo, 2018. "Nexus between financial innovation and economic growth in South Asia: evidence from ARDL and nonlinear ARDL approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-19, December.

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