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

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  • Ching-Sheng Mao
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    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).

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    Bibliographic Info

    Paper provided by Federal Reserve Bank of Richmond in its series Working Paper with number 87-06.

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    Date of creation: 1987
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    Handle: RePEc:fip:fedrwp:87-06

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    Related research

    Keywords: Economic development ; Time-series analysis ; Business cycles;

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    1. Robert J. Barro & Gary S. Becker, . "Fertility Choice in a Model of Economic Growth," University of Chicago - Population Research Center 88-8, Chicago - Population Research Center.
    2. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
    3. Prescott, Edward C & Mehra, Rajnish, 1980. "Recursive Competitive Equilibrium: The Case of Homogeneous Households," Econometrica, Econometric Society, vol. 48(6), pages 1365-79, September.
    4. 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.
    5. Brock, William A. & Mirman, Leonard J., 1972. "Optimal economic growth and uncertainty: The discounted case," Journal of Economic Theory, Elsevier, vol. 4(3), pages 479-513, June.
    6. 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.
    7. King, Robert G & Plosser, Charles I & Rebelo, Sergio T, 2002. "Production, Growth and Business Cycles: Technical Appendix," Computational Economics, Society for Computational Economics, vol. 20(1-2), pages 87-116, October.
    8. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-37, October.
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