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Technology Shocks And Robust Sign Restrictions In A Euro Area Svar

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  • Gert Peersman
  • Roland Straub

Abstract

We use a model-based identification strategy to estimate the impact of technology shocks on hours worked and employment in the euro area. The sign restrictions applied in the vector autoregression (VAR) analysis are consistent with a large class of dynamic stochastic general equilibrium (DSGE) models and are robust to parameter uncertainty. The results are in line with the conventional Real Business Cycle (RBC) interpretation that hours worked rise as a result of a positive technology shock. By comparing the sign restrictions method to the long-run restriction approach of Galí ("Quaterly Journal of Economics" (1992) 709-38) , we show that the results do not depend on the stochastic specification of the hours worked series or the data sample but only on the identification scheme. Copyright © (2009) by the Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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Bibliographic Info

Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 50 (2009)
Issue (Month): 3 (08)
Pages: 727-750

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Handle: RePEc:ier:iecrev:v:50:y:2009:i:3:p:727-750

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  1. 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.
  2. 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.
  3. Peter N. Ireland, 2004. "Technology Shocks in the New Keynesian Model," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 923-936, November.
  4. Yongsung Chang & Frank Schorfheide, 2002. "Labor-Supply Shifts and Economic Fluctuations," Macroeconomics 0204005, EconWPA.
  5. Lawrence J. Christiano & Martin Eichenbaum, 1990. "Current real business cycle theories and aggregate labor market fluctuations," Discussion Paper / Institute for Empirical Macroeconomics 24, Federal Reserve Bank of Minneapolis.
  6. Susanto Basu & John Fernald & Miles Kimball, 2002. "Are Technology Improvements Contractionary?," Harvard Institute of Economic Research Working Papers 1986, Harvard - Institute of Economic Research.
  7. 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.
  8. 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.
  9. Frank Smets & Raf Wouters, 2002. "An estimated dynamic stochastic general equilibrium model of the euro area," Working Paper Research 35, National Bank of Belgium.
  10. 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.
  11. 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.
  12. John Shea, 1999. "What Do Technology Shocks Do?," NBER Chapters, in: NBER Macroeconomics Annual 1998, volume 13, pages 275-322 National Bureau of Economic Research, Inc.
  13. Pau Rabanal & Juan Rubio-Ramírez, 2008. "Comparing new Keynesian models in the Euro area: a Bayesian approach," Spanish Economic Review, Springer, vol. 10(1), pages 23-40, March.
  14. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," Working Paper 2002-14, Federal Reserve Bank of Atlanta.
  15. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  16. 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.).
  17. 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.).
  18. Jordi Gali & Mark Gertler & J. David Lopez-Salido, 2001. "European Inflation Dynamics," NBER Working Papers 8218, National Bureau of Economic Research, Inc.
  19. 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.
  20. 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.
  21. 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 113-44, January.
  22. 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.
  23. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 0042, European Central Bank.
  24. Charles A. Fleischman, 1999. "The causes of business cycles and the cyclicality of real wages," Finance and Economics Discussion Series 1999-53, Board of Governors of the Federal Reserve System (U.S.).
  25. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What happens after a technology shock?," International Finance Discussion Papers 768, 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 (the central bank of Hungary).
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