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Endogenous Growth And Endogenous Business Cycles

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  • MALIAR, LILIA
  • MALIAR, SERGUEI

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.

Suggested Citation

  • Maliar, Lilia & Maliar, Serguei, 2004. "Endogenous Growth And Endogenous Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 8(5), pages 559-581, November.
    • Handle: RePEc:cup:macdyn:v:8:y:2004:i:05:p:559-581_04
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    Cited by:

    1. Posch, Olaf & Wälde, Klaus, 2005. "Natural volatility, welfare and taxation," W.E.P. - Würzburg Economic Papers 57, University of Würzburg, Department of Economics.
    2. Mendieta-Muñoz, Ivan, 2017. "On The Interaction Between Economic Growth And Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 21(4), pages 982-1022, June.
    3. Barnett William A & Dalkir Mehmet S, 2007. "Gains from Synchronization," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(1), pages 1-30, March.
    4. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    5. Hofer Helmut & Weyerstraß Klaus & Schmidt Torsten, 2011. "Practice and Prospects of Medium-term Economic Forecasting," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 153-171, February.
    6. Alexander Steinmetz, 2008. "Competition, Innovation and the Effect of Knowledge Accumulation," Working Papers 053, Bavarian Graduate Program in Economics (BGPE).
    7. Horii, Ryo, 2012. "Wants and past knowledge: Growth cycles with emerging industries," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 220-238.
    8. Pär Stockhammar & Lars-Erik Öller, 2011. "On the probability distribution of economic growth," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(9), pages 2023-2041, November.
    9. Artuç, Erhan & Pourpourides, Panayiotis M., 2014. "R&D and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 54-71.
    10. Filip Rozsypal, 2015. "Schumpeterian business cycles," 2015 Meeting Papers 320, Society for Economic Dynamics.
    11. Bei Li & Jie Zhang, 2011. "Subsidies in an Economy with Endogenous Cycles Over Neoclassical Investment and Neo-Schumpeterian Innovation Regimes," Economics Discussion / Working Papers 11-23, The University of Western Australia, Department of Economics.
    12. 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.
    13. Steinmetz, Alexander, 2010. "Competition, innovation, and the effect of knowledge accumulation," W.E.P. - Würzburg Economic Papers 81, University of Würzburg, Department of Economics.
    14. Alexander Steinmetz, 2015. "Competition, innovation, and the effect of R&D knowledge," Journal of Economics, Springer, vol. 115(3), pages 199-230, July.
    15. Boyarchuk, Dmytro & Maliar, Lilia & Maliar, Serguei, 2005. "The consumption and welfare implications of wage arrears in transition economies," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 540-564, September.
    16. Chase Coleman & Kerk L. Phillips, 2014. "Business Cycle Persistence in a Model with Schumpeterian Growth and Uncorrelated Shocks," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-01, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    17. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
    18. 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.

    More about this item

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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