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Hours Worked and Permanent Technology Shocks in Open Economies

  • Dupaigne, Martial
  • Fève, Patrick

We use Structural Vector Autoregressions to study the impact of technology improvements on hours worked in the major seven countries. While previous studies estimate the response of labor input to permanent shocks to country -level labor productivity, we consider the response of labor input to aggregate -level labor productivity. Since labor productivities do cointegrate in the G7, the estimated responses should look very similar. They do not: for each country but Germany, the responses estimated using G7 labor productivity sizeably exceed those estimated using country -level labor productivity. These results also hold in larger SVAR models.

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Paper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 09-114.

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Date of creation: Nov 2009
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Handle: RePEc:tse:wpaper:22263
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  1. Fabrice Collard & Harris Dellas, 2002. "Technology Shocks and Employment," Diskussionsschriften dp0217, Universitaet Bern, Departement Volkswirtschaft.
  2. Martial Dupaigne & Patrick Feve, 2009. "Technology shocks around the world," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 592-607, October.
  3. Jordi Galí & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations; How Well Does the RBC Model Fit Postwar U.S. Data?," IMF Working Papers 04/234, International Monetary Fund.
  4. Vicente Tuesta & Juan F. Rubio-Ramirez & Pau Rabanal, 2009. "Cointegrated TFP Processes and International Business Cycles," IMF Working Papers 09/212, International Monetary Fund.
  5. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2008. "Are Structural VARs with Long-Run Restrictions Useful in Developing Business Cycle Theory?," NBER Working Papers 14430, National Bureau of Economic Research, Inc.
  6. Christopher J. Erceg & Luca Guerrieri, 2004. "Can Long-Run Restrictions Identify Technology Shocks?," Computing in Economics and Finance 2004 3, Society for Computational Economics.
  7. James H. Stock & Mark W. Watson, 2003. "Understanding Changes in International Business Cycle Dynamics," NBER Working Papers 9859, National Bureau of Economic Research, Inc.
  8. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
  9. Lawrence J. Christiano & Martin Eichenbaum & Robert J. Vigfusson, 2003. "The response of hours to a technology shock: evidence based on direct measures of technology," International Finance Discussion Papers 790, Board of Governors of the Federal Reserve System (U.S.).
  10. Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2003. "Similarities and convergence in G-7 cycles," Economics Working Papers 924, Department of Economics and Business, Universitat Pompeu Fabra, revised Aug 2004.
  11. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2005. "Understanding the Evolution of World Business Cycles," IMF Working Papers 05/211, International Monetary Fund.
  12. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
  13. Ramey, Valerie A & Francis, Neville, 2002. "Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted," University of California at San Diego, Economics Working Paper Series qt6x80k3nx, Department of Economics, UC San Diego.
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