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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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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
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  1. Chris Papageorgiou & Kaz Miyagiwa, . "Endogenous Aggregate Elasticity of Substitution," Departmental Working Papers 2006-06, Department of Economics, Louisiana State University.
  2. 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.
  3. James A. Kahn & Robert W. Rich, 2003. "Tracking the new economy: using growth theory to detect changes in trend productivity," Staff Reports 159, Federal Reserve Bank of New York.
  4. 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.
  5. 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.
  6. Fuentes-Albero, Cristina & Kryshko, Maxym & Ríos-Rull, José-Víctor & Santaeulàlia-Llopis, Raül & Schorfheide, Frank, 2009. "Methods versus Substance: Measuring the Effects of Technology Shocks on Hours," CEPR Discussion Papers 7474, C.E.P.R. Discussion Papers.
  7. 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.
  8. Galí, Jordi & van Rens, Thijs, 2010. "The vanishing procyclicality of labor productivity," Kiel Working Papers 1641, Kiel Institute for the World Economy (IfW).
  9. Alpo WILLMAN & Cristiano CANTORE & Miguel LEON-LEDESMA & Peter MCADAM, . "Shocking Stuff: Technology, Hours, and Factor Substitution," EcoMod2010 259600172, EcoMod.
  10. Chang, Yongsung & Doh, Taeyoung & Schorfheide, Frank, 2005. "Non-stationary Hours in a DSGE Model," CEPR Discussion Papers 5232, C.E.P.R. Discussion Papers.
  11. Valerie A. Ramey & Neville Francis, 2007. "Measures of Per Capita Hours and their Implications for the Technology-Hours Debate," 2007 Meeting Papers 314, Society for Economic Dynamics.
  12. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
  13. Carvalho, Vasco M & Gabaix, Xavier, 2010. "The Great Diversification and its Undoing," CEPR Discussion Papers 8044, C.E.P.R. Discussion Papers.
  14. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
  15. 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.
  16. Jordi Galí & David López-Salido & Javier Vallés, 2000. "Technology Shocks and Monetary policy: Assessing the Fed's Performance," Working Papers 0013, Banco de España;Working Papers Homepage.
  17. Luca Gambetti & Jordi Galí, 2009. "On the Sources of the Great Moderation," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 26-57, January.
  18. 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.
  19. 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.
  20. Balleer, Almut & van Rens, Thijs, 2009. "Cyclical Skill-Biased Technological Change," IZA Discussion Papers 4258, Institute for the Study of Labor (IZA).
  21. 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.
  22. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 147-180.
  23. Whelan, Karl T., 2009. "Technology shocks and hours worked: Checking for robust conclusions," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 231-239, June.
  24. 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.
  25. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  26. Timothy Cogley & Thomas Sargent, . "Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII US," Working Papers 2133503, Department of Economics, W. P. Carey School of Business, Arizona State University.
  27. John F. Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
  28. 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.
  29. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
  30. 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.
  31. 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.
  32. 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.
  33. Daron Acemoglu, 2001. "Directed Technical Change," NBER Working Papers 8287, National Bureau of Economic Research, Inc.
  34. 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.
  35. Alvarez-Cuadrado, Francisco & Long, Ngo & Poschke, Markus, 0. "Capital-labor substitution, structural change and growth," Theoretical Economics, Econometric Society.
  36. 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.
  37. 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.
  38. Fabio Canova & Luca Gambetti, 2003. "Structural changes in the US economy: is there a role for monetary policy?," Economics Working Papers 918, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
  39. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, Elsevier.
  40. 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.
  41. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo Group Munich.
  42. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
  43. 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.
  44. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
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