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Can the Kydland-Prescott Model Pass the Cogley-Nason Test?

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  • Fève, Patrick
  • Matheron, Julien

Abstract

This paper quantitatively evaluates the ability of a Kydland and Prescott type model with permanent technology shocks and labor wedges to reproduce output persistence together with persistent impulse response functions of output to permanent and transitory shocks. When calibrated on US labor market features, this model, in which technology shocks account for the bulk of output fluctuations, successfully passes the Cogley and Nason test.
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Suggested Citation

  • Fève, Patrick & Matheron, Julien, 2005. "Can the Kydland-Prescott Model Pass the Cogley-Nason Test?," IDEI Working Papers 350, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Handle: RePEc:ide:wpaper:4483
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    1. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
    2. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
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    6. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    7. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2004. "A Critique of Structural VARs Using Real Business Cycle Theory," Levine's Bibliography 122247000000000518, UCLA Department of Economics.
    8. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Current Real-Business-Cycle Theories and Aggregate Labor-Market Fluctuations," American Economic Review, American Economic Association, vol. 82(3), pages 430-450, June.
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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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