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Aggregate fluctuations and economic growth: a case of random-walk hypothesis

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  • Ching-Sheng Mao

Abstract

This paper presents a model economy in which the 'balanced' growth is determined endogenously. The growth process in this economy does not depend on exogenous specifications such as human capital accumulation or technological progress. Rather, it is determined within the model and governed by two economic forces: (1) the intertemporal substitution of consumption and labor and (2) the intertemporal production opportunities. In equilibrium, the real quantities (i.e., consumption, capital, employment and output) will all evolve as logarithm random walks with drift. Therefore, the time series generated by this model is not trend stationary and the propagation of technological disturbances is permanent. This result is consistent with the empirical findings of Nelson and Plosser (1982).

Suggested Citation

  • Ching-Sheng Mao, 1987. "Aggregate fluctuations and economic growth: a case of random-walk hypothesis," Working Paper 87-06, Federal Reserve Bank of Richmond.
    • Handle: RePEc:fip:fedrwp:87-06
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    3. Barro, Robert J & Becker, Gary S, 1989. "Fertility Choice in a Model of Economic Growth," Econometrica, Econometric Society, vol. 57(2), pages 481-501, March.
    4. Edward C. Prescott & Rajnish Mehra, 2005. "Recursive Competitive Equilibrium: The Case Of Homogeneous Households," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 11, pages 357-371, World Scientific Publishing Co. Pte. Ltd..
    5. William A. Brock & Leonard J. Mirman, 2001. "Optimal Economic Growth And Uncertainty: The Discounted Case," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 1, pages 3-37, Edward Elgar Publishing.
    6. 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.
    7. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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    Cited by:

    1. Subrata ROY, 2022. "Whether high frequency intraday data behave randomly: Evidence from NIFTY 50," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 65-80, Summer.

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