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Forecasting with Real Business Cycle Models

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  • Christian Zimmermann

    (Universite du Quebec a Montreal)

Abstract

Forecasting at business cycle frequencies is traditionally done with statistically estimated econometric models. This paper takes a different approach, using a calibrated dynamic general equilibrium model in line with the real business cycle literature. First attempts by others have not proved very successful, most probably because the structure of the models was too simple. We take a simple real business cycle model, the Kydland-Prescott (1982) model economy sufficiently simplified to accommodate for the availability of state variables in the data, augmented by government expense shocks. The forecasts are then evaluated with the traditional tools of the econometric forecaster. It is found that the model has potential for making good forecasts when compared to estimated models that are equally parsimonious.

Suggested Citation

  • Christian Zimmermann, 2001. "Forecasting with Real Business Cycle Models," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 36(1), pages 189-203, January.
  • Handle: RePEc:dse:indecr:v:36:y:2001:i:1:p:189-203
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    References listed on IDEAS

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    1. Backus, David K & Kehoe, Patrick J & Kydland, Finn E, 1994. "Dynamics of the Trade Balance and the Terms of Trade: The J-Curve?," American Economic Review, American Economic Association, vol. 84(1), pages 84-103, March.
    2. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
    3. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    4. Christian Zimmermann, 1995. "International Trade over the Business Cycle: Stylized Facts and Remaining Puzzles," Cahiers de recherche CREFE / CREFE Working Papers 37, CREFE, Université du Québec à Montréal, revised Aug 1997.
    5. David Backus & Patrick J. Kehoe & Finn E. Kydland, 1993. "International Business Cycles: Theory and Evidence," NBER Working Papers 4493, National Bureau of Economic Research, Inc.
    6. Christian Zimmermann, 1994. "Technology Innovations and the Volatility of Output: An International Perspective," Cahiers de recherche CREFE / CREFE Working Papers 34, CREFE, Université du Québec à Montréal.
    7. Ireland, Peter N., 2001. "Technology shocks and the business cycle: On empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 25(5), pages 703-719, May.
    8. Ingram, Beth F. & Whiteman, Charles H., 1994. "Supplanting the 'Minnesota' prior: Forecasting macroeconomic time series using real business cycle model priors," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 497-510, December.
    9. David K. Backus & Patrick J. Kehoe & Finn E. Kydland, 1992. "Dynamics of the trade balance and the terms of trade: the J-curve revisited," Discussion Paper / Institute for Empirical Macroeconomics 65, Federal Reserve Bank of Minneapolis.
    10. Julio J. Rotemberg & Michael Woodford, 1993. "Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets," NBER Working Papers 4502, National Bureau of Economic Research, Inc.
    11. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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    Cited by:

    1. Guangling (dave Liu & Rangan Gupta, 2007. "A Small‐Scale Dsge Model For Forecasting The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 75(2), pages 179-193, June.
    2. Männistö, Hanna-Leena, 2005. "Forecasting with a forward-looking DGE model : combining long-run views of financial markes with macro forecasting," Research Discussion Papers 21/2005, Bank of Finland.
    3. repec:zbw:bofrdp:2005_021 is not listed on IDEAS
    4. Männistö, Hanna-Leena, 2005. "Forecasting with a forward-looking DGE model: combining long-run views of financial markes with macro forecasting," Bank of Finland Research Discussion Papers 21/2005, Bank of Finland.

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    More about this item

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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