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Technology shocks, structural breaks and the effects on the business cycle

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  • Atella, Vincenzo

    ()

  • Centoni, Marco

    ()

  • Cubadda, Gianluca

    ()

Abstract

This paper contributes to the literature on the role of technology shocks as source of the business cycle in two ways. First, we document that time-series of US productivity and hours are apparently affected by a structural break in the late 60’s, which is likely due to a major change in the monetary policy. Second, we show that the importance of demand shocks over the business cycle has sharply increased after the break.

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File URL: http://web.unimol.it/progetti/repec/mol/ecsdps/ESDP07041.pdf
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Bibliographic Info

Paper provided by University of Molise, Dept. EGSeI in its series Economics & Statistics Discussion Papers with number esdp07041.

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Length: 10 pages
Date of creation: 22 Oct 2007
Date of revision:
Handle: RePEc:mol:ecsdps:esdp07041

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Keywords: Business cycle; technology shocks; structural breaks.;

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  1. Christina D. Romer and David H. Romer., 1989. "Does Monetary Policy Matter? A New Test in the Spirit of Friedman and Schwartz," Economics Working Papers 89-107, University of California at Berkeley.
  2. Richard Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," NBER Working Papers 6442, National Bureau of Economic Research, Inc.
  3. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  4. Atella, Vincenzo & Centoni, Marco & Cubadda, Gianluca, 2008. "Technology shocks, structural breaks and the effects on the business cycle," Economics Letters, Elsevier, vol. 100(3), pages 392-395, September.
  5. Galí, Jordi & Gambetti, Luca, 2008. "On the Sources of the Great Moderation," CEPR Discussion Papers 6632, C.E.P.R. Discussion Papers.
  6. Centoni, Marco & Cubadda, Gianluca, 2003. "Measuring the business cycle effects of permanent and transitory shocks in cointegrated time series," Economics Letters, Elsevier, vol. 80(1), pages 45-51, July.
  7. Bertrand Candelon & Gianluca Cubadda, 2006. "Testing for Parameter Stability in Dynamic Models across Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 741-760, December.
  8. John Duffy and Jim Engle-Warnick, 2001. "Multiple Regimes in U.S. Monetary Policy? A Nonparametric Approach," Computing in Economics and Finance 2001 151, Society for Computational Economics.
  9. Candelon, Bertrand & Lutkepohl, Helmut, 2001. "On the reliability of Chow-type tests for parameter constancy in multivariate dynamic models," Economics Letters, Elsevier, vol. 73(2), pages 155-160, November.
  10. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  11. Bai, Jushan & Lumsdaine, Robin L & Stock, James H, 1998. "Testing for and Dating Common Breaks in Multivariate Time Series," Review of Economic Studies, Wiley Blackwell, vol. 65(3), pages 395-432, July.
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Cited by:
  1. Atella, Vincenzo & Centoni, Marco & Cubadda, Gianluca, 2008. "Technology shocks, structural breaks and the effects on the business cycle," Economics Letters, Elsevier, vol. 100(3), pages 392-395, September.
  2. Cubadda, Gianluca & Triacca, Umberto, 2011. "An alternative solution to the Autoregressivity Paradox in time series analysis," Economic Modelling, Elsevier, vol. 28(3), pages 1451-1454, May.

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