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Hours Worked and Permanent Technology Shocks in Open Economies

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  • Dupaigne, Martial
  • Fève, Patrick

Abstract

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. 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.
  2. Fabrice Collard & Harris Dellas, 2002. "Technology Shocks and Employment," Diskussionsschriften dp0217, Universitaet Bern, Departement Volkswirtschaft.
  3. Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2004. "Similarities and convergence in G-7 cycles," Banco de Espa�a Working Papers 0404, Banco de Espa�a.
  4. 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.
  5. Pau Rabanal & Juan F. Rubio-Ramirez & Vicente Tuesta, 2009. "Cointegrated TFP processes and international business cycles," Working Paper 2009-23, Federal Reserve Bank of Atlanta.
  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. Jordi Galí & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations," IMF Working Papers 04/234, International Monetary Fund.
  8. 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.
  9. James H. Stock & Mark W. Watson, 2003. "Understanding Changes in International Business Cycle Dynamics," NBER Working Papers 9859, National Bureau of Economic Research, Inc.
  10. Galí, Jordi, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," CEPR Discussion Papers 1499, C.E.P.R. Discussion Papers.
  11. 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.
  12. 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.).
  13. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
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