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

  • Atella, Vincenzo

    ()

  • Centoni, Marco

    ()

  • Cubadda, Gianluca

    ()

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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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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  1. 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.
  2. Luca Gambetti & Jordi Galí, 2007. "On the sources of the Great Moderation," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  3. 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.
  4. Jordi Gali & J. David Lopez-Salido & Javier Valles, 2002. "Technology Shocks and Monetary Policy: Assessing the Fed's Performance," NBER Working Papers 8768, National Bureau of Economic Research, Inc.
  5. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
  6. Gali, J., 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," Working Papers 96-28, C.V. Starr Center for Applied Economics, New York University.
  7. Candelon, Bertrand & Lütkepohl, Helmut, 2000. "On the reliability of chow type test for parameter constancy in multivariate dynamic models," SFB 373 Discussion Papers 2000,95, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  8. Bertrand Candelon & Gianluca Cubadda, 2006. "Testing for Parameter Stability in Dynamic Models Across Frequencies," CEIS Research Paper 82, Tor Vergata University, CEIS.
  9. 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.
  10. 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.
  11. Clarida, R. & Gali, J. & Gertler, M., 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and some Theory," Working Papers 98-01, C.V. Starr Center for Applied Economics, New York University.
  12. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  13. 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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