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Technology Shocks and UK Business Cycles

  • Hashmat Khan

    (Carleton University)

  • John Tsoukalas

    (Bank of England)

After a neutral technology shock, hours worked decline in a persistent manner in the UK. This response is robust to a variety of considerations in the recent literature: measures of labour input, level versus differenced hours in the VAR, small and large VARS, long- versus medium- run identification, and neutral versus investment-specific technology shocks. The UK economy, therefore, offers a unique perspective on the response of hours to technology shocks. The large negative correlation between labour productivity and hours is the source of this response. Models with nominal price stickiness, low substitutability between domestic and foreign consumption, and investment-specific shocks appear to be most plausible in interpreting the short-run effects of technology shocks. Quantitatively, however, technology shocks account for under 20% of the business cycle variation in hours and under 30% of business cycle variation in output. These findings suggest that technology shocks may play only a limited role in driving UK business cycles.

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Paper provided by EconWPA in its series Macroeconomics with number 0512006.

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Length: 54 pages
Date of creation: 12 Dec 2005
Date of revision:
Handle: RePEc:wpa:wuwpma:0512006
Note: Type of Document - pdf; pages: 54
Contact details of provider: Web page: http://128.118.178.162

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  1. Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," Working Paper 94-2, Federal Reserve Bank of Atlanta.
  2. Athena T. Theodorou & Neville R. Francis & Michael T. Owyang, 2004. "What Explains the Varying Monetary Response to Technology SHocks in G7-Countries," Econometric Society 2004 North American Summer Meetings 444, Econometric Society.
  3. James H. Stock & Mark W. Watson, 2002. "Has the Business Cycle Changed and Why?," NBER Working Papers 9127, National Bureau of Economic Research, Inc.
  4. Jordi Galí & David López-Salido & Javier Vallés, 2000. "Technology Shocks and Monetary policy: Assessing the Fed's Performance," Banco de Espa�a Working Papers 0013, Banco de Espa�a.
  5. Fabrice Collard & Harris Dellas, 2007. "Technology Shocks and Employment," Economic Journal, Royal Economic Society, vol. 117(523), pages 1436-1459, October.
  6. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Technical Working Papers 0100, National Bureau of Economic Research, Inc.
  7. Karl Whelan, 2007. "Staggered Price Contracts And Inflation Persistence: Some General Results," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(1), pages 111-145, 02.
  8. Matthew Shapiro & Mark Watson, 1988. "Sources of Business Cycles Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156 National Bureau of Economic Research, Inc.
  9. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
  10. 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.).
  11. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
  12. Christopher Erceg & Luca Guerrieri & Christopher Gust, 2004. "Can long-run restrictions identify technology shocks?," International Finance Discussion Papers 792, Board of Governors of the Federal Reserve System (U.S.).
  13. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  14. Jonas Fisher, 2004. "Technology Shocks Matter," Econometric Society 2004 North American Winter Meetings 14, Econometric Society.
  15. Lawrence Christiano & Martin Eichenbaum, 2005. "Assessing the Usefulness of Structural Vector Autoregressions," 2005 Meeting Papers 902, Society for Economic Dynamics.
  16. 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.
  17. John Shea, 1998. "What Do Technology Shocks Do?," NBER Working Papers 6632, National Bureau of Economic Research, Inc.
  18. Fernald, John, 2006. "Trend Breaks, Long-Run Restrictions and the Contractionary Effects of Technology Improvements," CEPR Discussion Papers 5631, C.E.P.R. Discussion Papers.
  19. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
  20. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1995. "Long-Run Implications of Investment-Specific Technological Change," UWO Department of Economics Working Papers 9510, University of Western Ontario, Department of Economics.
  21. Charlotta Groth, 2005. "Estimating UK capital adjustment costs," Bank of England working papers 258, Bank of England.
  22. Galí, Jordi & Rabanal, Pau, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Post-War US Data?," CEPR Discussion Papers 4522, C.E.P.R. Discussion Papers.
  23. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2014. "A Flexible Finite-Horizon Alternative to Long-Run Restrictions with an Application to Technology Shocks," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 638-647, October.
  24. Jordi Galí, 2005. "Trends in hours, balanced growth and the role of technology in the business cycle," Economics Working Papers 829, Department of Economics and Business, Universitat Pompeu Fabra.
  25. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
  26. Neville Francis & Valerie A. Ramey, 2006. "The Source of Historical Economic Fluctuations: An Analysis Using Long-Run Restrictions," NBER Chapters, in: NBER International Seminar on Macroeconomics 2004, pages 17-73 National Bureau of Economic Research, Inc.
  27. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
  28. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
  29. Wen Yi, 2004. "What Does It Take to Explain Procyclical Productivity?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-40, June.
  30. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2004. "A Critique of Structural VARs Using Real Business Cycle Theory," Levine's Bibliography 122247000000000518, UCLA Department of Economics.
  31. Diebold, Francis X. & Chen, Celia, 1996. "Testing structural stability with endogenous breakpoint A size comparison of analytic and bootstrap procedures," Journal of Econometrics, Elsevier, vol. 70(1), pages 221-241, January.
  32. Neville Francis & Michael T. Owyang & Jennifer E. Roush, 2005. "A flexible finite-horizon identification of technology shocks," International Finance Discussion Papers 832, Board of Governors of the Federal Reserve System (U.S.).
  33. 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.
  34. Charlotta Groth & Soledad Nuñez & Sylaja Srinivasan, 2006. "Productivity growth, adjustment costs and variable factor utilisation: the UK case," Bank of England working papers 295, Bank of England.
  35. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  36. 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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