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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. David Autor & Lawrence Katz & Alan Krueger, 1997. "Computing Inequality: Have Computers Changed the Labor Market?," Working Papers 756, Princeton University, Department of Economics, Industrial Relations Section..
  2. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," CEPR Discussion Papers 1908, C.E.P.R. Discussion Papers.
  3. Francisco Alvarez-Cuadrado & Ngo Van Long, 2011. "Capital-Labor Substitution, Structural Change and Growth," Cahiers de recherche 12-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  4. 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.
  5. 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.
  6. Daron Acemoglu, 2001. "Directed Technical Change," NBER Working Papers 8287, National Bureau of Economic Research, Inc.
  7. 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.
  8. Carvalho, Vasco M & Gabaix, Xavier, 2010. "The Great Diversification and its Undoing," CEPR Discussion Papers 8044, C.E.P.R. Discussion Papers.
  9. Canova, Fabio & Ferroni, Filippo, 2012. "The dynamics of US inflation: Can monetary policy explain the changes?," Journal of Econometrics, Elsevier, vol. 167(1), pages 47-60.
  10. Cantore, Cristiano & León-Ledesma, Miguel A. & McAdam, Peter & Willman, Alpo, 2010. "Shocking stuff: technology, hours, and factor substitution," Working Paper Series 1278, European Central Bank.
  11. Thijs van Rens & Almut Balleer, 2007. "Cyclical Skill-Biased Technological Change," 2007 Meeting Papers 62, Society for Economic Dynamics.
  12. Chris Papageorgiou & Kaz Miyagiwa, . "Endogenous Aggregate Elasticity of Substitution," Departmental Working Papers 2006-06, Department of Economics, Louisiana State University.
  13. Chang, Yongsung & Doh, Taeyoung & Schorfheide, Frank, 2005. "Non-stationary Hours in a DSGE Model," CEPR Discussion Papers 5232, C.E.P.R. Discussion Papers.
  14. Alessio Moro, 2012. "The Structural Transformation Between Manufacturing and Services and the Decline in the US GDP Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(3), pages 402-415, July.
  15. Kevin J. Stiroh, 2009. "Volatility Accounting: A Production Perspective on Increased Economic Stability," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 671-696, 06.
  16. 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.
  17. 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.
  18. 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.
  19. Gali, Jordi & van Rens, Thijs, 2015. "The Vanishing Procyclicality of Labor Productivity," The Warwick Economics Research Paper Series (TWERPS) 1062, University of Warwick, Department of Economics.
  20. Chris Papageorgiou & Marianne Saam, 2008. "Two-level CES Production Technology in the Solow and Diamond Growth Models," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 119-143, 03.
  21. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
  22. 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.
  23. 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.
  24. Jordi Gali & J. David Lopez-Salido & Javier Valles, 2002. "Technology Shocks and Monetary Policy: Assessing the Fed's Performance," NBER Working Papers 8768, National Bureau of Economic Research, Inc.
  25. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
  26. Whelan, Karl T., 2009. "Technology shocks and hours worked: Checking for robust conclusions," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 231-239, June.
  27. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, Elsevier.
  28. 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.
  29. 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.
  30. Per Krusell & Lee E. Ohanian & Jose-Victor Rios-Rull & Giovanni L. Violante, 1997. "Capital-skill complementarity and inequality: a macroeconomic analysis," Staff Report 239, Federal Reserve Bank of Minneapolis.
  31. 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.
  32. 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.
  33. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
  34. Luca Gambetti & Jordi Galí, 2007. "On the sources of the Great Moderation," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  35. 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.
  36. 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.
  37. 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.
  38. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo Group Munich.
  44. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
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