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Technology Shocks and Robust Sign Restrictions in a Euro Area SVAR

  • G. PEERSMAN

    ()

  • R. STRAUB

We use a model-based identification strategy to estimate the impact of technology, labor supply, monetary policy and aggregate demand shocks on hours worked and employment in the euro area. The restrictions applied in the SVAR analysis are consistent with a large class of DSGE models and are robust given a sensible range of parametrization. In contrast to most of the existing literature for the United States, our results are in line with the conventional real business cycle interpretation that hours worked rise as a result of a positive technology shock. In addition, we also find an important role for technology shocks in explaining business cycle fluctuations.

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Paper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 05/288.

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Length: 34 pages
Date of creation: Jan 2005
Date of revision:
Handle: RePEc:rug:rugwps:05/288
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  2. G. Peersman, 2004. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/235, Ghent University, Faculty of Economics and Business Administration.
  3. Neville Francis & Valerie A. Ramey, 2002. "Is the Technology-Driven Real Business Cycle Hypothesis Dead?," NBER Working Papers 8726, National Bureau of Economic Research, Inc.
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  8. Neville Francis & Michael T. Owyang & Athena T. Theodorou, 2003. "The use of long-run restrictions for the identification of technology shocks," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 53-66.
  9. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 0042, European Central Bank.
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  11. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-53, July.
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  13. DeJong, David N & Ingram, Beth Fisher & Whiteman, Charles H, 1996. "A Bayesian Approach to Calibration," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 1-9, January.
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  18. Rotemberg, Julio J, 1982. "Sticky Prices in the United States," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1187-1211, December.
  19. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 09.
  20. 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.
  21. Pau Rabanal & Juan F. Rubio-Ramirez, 2003. "Comparing New Keynesian models in the Euro area: a Bayesian approach," FRB Atlanta Working Paper 2003-30, Federal Reserve Bank of Atlanta.
  22. Ingram, Beth F. & Whiteman, Charles H., 1994. "Supplanting the 'Minnesota' prior: Forecasting macroeconomic time series using real business cycle model priors," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 497-510, December.
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  24. Yongsung Chang & Frank Schorfheide, 2002. "Labor-Supply Shifts and Economic Fluctuations," Macroeconomics 0204005, EconWPA.
  25. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
  26. Florin O. Bilbiie & Roland Straub, 2004. "Fiscal Policy, Business Cycles and Labor-Market Fluctuations," MNB Working Papers 2004/6, Magyar Nemzeti Bank (Central Bank of Hungary).
  27. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
  28. 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.
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