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Technology Shocks and Robust Sign Restrictions in a Euro Area SVAR

Listed author(s):
  • 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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File URL: http://wps-feb.ugent.be/Papers/wp_05_288.pdf
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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
Handle: RePEc:rug:rugwps:05/288
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Web page: http://www.ugent.be/eb

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  1. 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 345-353, July.
  2. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Bank of England working papers 272, Bank of England.
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  4. Susanto Basu & John Fernald & Miles Kimball, 2004. "Are Technology Improvements Contractionary?," NBER Working Papers 10592, National Bureau of Economic Research, Inc.
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  8. 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.
  9. Uhlig, Harald, 1999. "What are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure," CEPR Discussion Papers 2137, C.E.P.R. Discussion Papers.
  10. 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.
  11. Chang, Yongsung & Schorfheide, Frank, 2003. "Labor-supply shifts and economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1751-1768, November.
  12. 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).
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  14. John Shea, 1998. "What Do Technology Shocks Do?," NBER Working Papers 6632, National Bureau of Economic Research, Inc.
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  17. Lawrence J. Christiano & Martin Eichenbaum, 1990. "Current real business cycle theories and aggregate labor market fluctuations," Working Paper Series, Macroeconomic Issues 90, Federal Reserve Bank of Chicago.
  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. Fabio Canova & Gianni De Nicolo, 2000. "Monetary disturbances matter for business fluctuations in the G-7," International Finance Discussion Papers 660, Board of Governors of the Federal Reserve System (U.S.).
  20. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
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  22. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
  23. 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.
  24. 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.
  25. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
  26. 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.
  27. Neville Francis & Michael T. Owyang & Athena T. Theodorou, 2003. "The use of long-run restrictions for the identification of technology shocks," Working Papers 2003-010, Federal Reserve Bank of St. Louis.
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