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Interpreting the Hours-Technology time-varying relationship

  • Cristiano Cantore

    ()

  • Filippo Ferroni

    ()

  • Miguel A León-Ledesma

    ()

We investigate the time variation in the correlation between hours and technology shocks using a structural business cycle model. We propose an RBC model with a Constant Elasticity of Substitution (CES) production function that allows for capital- and labor-augmenting technology shocks. We estimate the model using US data with Bayesian techniques. In the full sample, we find (i) evidence in favor of a less than unitary elasticity of substitution (rejecting Cobb-Douglas) and (ii) a sizable role for capital augmenting shock for business cycles fluctuations. In rolling sub-samples, we document that the impact of technology shocks on hours worked varies over time and switches from negative to positive towards the end of the sample. We argue that this change is due to the increase in the elasticity of factor substitution. That is, labor and capital became less complementary throughout the sample inducing a change in the sign and size of the the response of hours. We conjecture that this change may have been induced by a change in the skill composition of the labor input.

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File URL: ftp://ftp.ukc.ac.uk/pub/ejr/RePEc/ukc/ukcedp/1201.pdf
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Paper provided by School of Economics, University of Kent in its series Studies in Economics with number 1201.

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Date of creation: Jan 2012
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Handle: RePEc:ukc:ukcedp:1201
Contact details of provider: Postal: School of Economics, University of Kent, Canterbury, Kent, CT2 7NP
Phone: +44 (0)1227 827497
Web page: http://www.kent.ac.uk/economics/

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  1. Whelan, Karl, 2004. "Technology Shocks and Hours Worked: Checking for Robust Conclusions," Research Technical Papers 6/RT/04, Central Bank of Ireland.
  2. Fabio Canova & Filippo Ferroni, 2010. "The dynamics of US inflation: Can monetary policy explain the changes?," Economics Working Papers 1241, Department of Economics and Business, Universitat Pompeu Fabra.
  3. Galí, Jordi & Lopez-Salido, Jose David & Vallés Liberal, Javier, 2002. "Technology Shocks and Monetary Policy: Assessing the Fed's Performance," CEPR Discussion Papers 3211, C.E.P.R. Discussion Papers.
  4. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
  5. 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.
  6. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 477-490, February.
  7. Chris Papageorgiou & Marianne Saam, . "Two-Level CES Production Technology in the Solow and Diamond Growth Models," Departmental Working Papers 2005-07, Department of Economics, Louisiana State University.
  8. José-Víctor Ríos-Rull & Frank Schorfheide & Cristina Fuentes-Albero & Raul Santaeulalia-Llopis & Maxym Kryshko, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.
  9. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
  10. Kevin J. Stiroh, 2006. "Volatility accounting: a production perspective on increased economic stability," Staff Reports 245, Federal Reserve Bank of New York.
  11. Margaret M. McConnell & Gabriel Perez Quiros, 1997. "Output fluctuations in the United States: what has changed since the early 1980s?," Research Paper 9735, Federal Reserve Bank of New York.
  12. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
  13. Luca Gambetti & Jordi Galí, 2007. "On the sources of the Great Moderation," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  14. Cristiano Cantore & Miguel León-Ledesma & Peter McAdam & Alpo Willman, 2014. "Shocking Stuff: Technology, Hours, And Factor Substitution," Journal of the European Economic Association, European Economic Association, vol. 12(1), pages 108-128, 02.
  15. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
  16. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1997. "Computing Inequality: Have Computers Changed the Labor Market?," NBER Working Papers 5956, National Bureau of Economic Research, Inc.
  17. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
  18. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
  19. Clarida, R. & Gali, J. & Gertler, M., 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and some Theory," Working Papers 98-01, C.V. Starr Center for Applied Economics, New York University.
  20. 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.
  21. Neville Francis & Valerie A. Ramey, 2009. "Measures of per Capita Hours and Their Implications for the Technology-Hours Debate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1071-1097, 09.
  22. Roberts John M., 2001. "Estimates of the Productivity Trend Using Time-Varying Parameter Techniques," The B.E. Journal of Macroeconomics, De Gruyter, vol. 1(1), pages 1-32, July.
  23. Sargent, Thomas J & Wallace, Neil, 1974. "The Elasticity of Substitution and Cyclical Behavior of Productivity, Wages, and Labor's Share," American Economic Review, American Economic Association, vol. 64(2), pages 257-63, May.
  24. Bruce E. Hansen, 2001. "The New Econometrics of Structural Change: Dating Breaks in U.S. Labour Productivity," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 117-128, Fall.
  25. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, Elsevier.
  26. Francisco Alvarez-Cuadrado & Ngo Van Long, 2011. "Capital-Labor Substitution, Structural Change and Growth," CIRANO Working Papers 2011s-68, CIRANO.
  27. Galí, Jordi & van Rens, Thijs, 2014. "The Vanishing Procyclicality of Labor Productivity," CEPR Discussion Papers 9853, C.E.P.R. Discussion Papers.
  28. Daron Acemoglu, 2002. "Directed Technical Change," Review of Economic Studies, Oxford University Press, vol. 69(4), pages 781-809.
  29. Lutz Hendricks, 2010. "Cross-country variation in educational attainment: structural change or within-industry skill upgrading?," Journal of Economic Growth, Springer, vol. 15(3), pages 205-233, September.
  30. Francesco Nucci & Marianna Riggi, 2009. "The Great Moderation and Changes in the Structure of Labor Compensation," Working Papers 124, University of Rome La Sapienza, Department of Public Economics.
  31. Chris Papageorgiou & Kaz Miyagiwa, . "Endogenous Aggregate Elasticity of Substitution," Departmental Working Papers 2006-06, Department of Economics, Louisiana State University.
  32. Acemoglu, Daron & Aghion, Philippe & Violante, Giovanni L., 2001. "Deunionization, technical change and inequality," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 229-264, December.
  33. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo Group Munich.
  34. Balleer, Almut & van Rens, Thijs, 2009. "Cyclical Skill-Biased Technological Change," IZA Discussion Papers 4258, Institute for the Study of Labor (IZA).
  35. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2006. "Non-stationary hours in a DSGE model," Working Papers 06-3, Federal Reserve Bank of Philadelphia.
  36. James A. Kahn & Robert W. Rich, 2003. "Tracking the new economy: using growth theory to detect changes in trend productivity," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  37. Canova, Fabio & López-Salido, J David & Michelacci, Claudio, 2008. "The Effects of Technology Shocks on Hours and Output: A Robustness Analysis," CEPR Discussion Papers 6720, C.E.P.R. Discussion Papers.
  38. Alessio Moro, 2009. "The structural transformation between manufacturing and services and the deline in the U.S. GDP volatility," Economics Working Papers we091409, Universidad Carlos III, Departamento de Economía.
  39. León-Ledesma, Miguel A. & McAdam, Peter & Willman, Alpo, 2009. "Identifying the elasticity of substitution with biased technical change," Working Paper Series 1001, European Central Bank.
  40. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
  41. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
  42. Jordi Galí & Pau Rabanal, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar U.S. Data?," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 225-318 National Bureau of Economic Research, Inc.
  43. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
  44. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
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