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The dynamics of hours worked and technology

  • Cristiano Cantore


    (University of Surrey)

  • Filippo Ferroni


    (Banque de France, University of Surrey)

  • Miguel A. León-Ledesma


    (University of Kent)

We study the relationship between hours worked and technology during the postwar period in the US. We show that the responses of hours to technological improvements have increased over time, and that the patterns captured by the SVAR are consistent with those obtained from an RBC model with a less than unitary elasticity of substitution between capital and labor. Data supports the hypothesis that the observed changes in the response of hours to a technology shock are attributable to changes in the magnitude of the degree of capital-labor substitution. We argue that the observed time-variation in can arise from changes in the structural composition of sectors (or factors) in a heterogeneous inputs production function or from biases in technological change

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Paper provided by Banco de España & Working Papers Homepage in its series Working Papers with number 1238.

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Length: 33 pages
Date of creation: Nov 2012
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Handle: RePEc:bde:wpaper:1238
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  1. 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.
  2. 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.
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  11. 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.
  12. 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.
  13. 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.
  14. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
  15. Miyagiwa, Kaz & Papageorgiou, Chris, 2007. "Endogenous aggregate elasticity of substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 31(9), pages 2899-2919, September.
  16. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
  17. Antonio Ciccone & Giovanni Peri, 2004. "Long-run substitutability between more and less educated workers: Evidence from U.S. States 1950-1990," Economics Working Papers 764, Department of Economics and Business, Universitat Pompeu Fabra.
  18. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2006. "Non-stationary hours in a DSGE model," Working Papers 06-3, Federal Reserve Bank of Philadelphia.
  19. 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.
  20. Katz, L.F. & Murphy, K.M., 1991. "Changes in Relative Wages, 1963-1987: Supply and Demand Factors," Harvard Institute of Economic Research Working Papers 1580, Harvard - Institute of Economic Research.
  21. Luca Dedola & Stefano Neri, 2006. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Temi di discussione (Economic working papers) 607, Bank of Italy, Economic Research and International Relations Area.
  22. 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.
  23. Alice Albonico & Sarantis Kalyvitis & Evi Pappa, 2012. "Revisiting the “Productivity-Hours Puzzle” in the RBC Paradigm: The Role of Investment Adjustment Costs," Quaderni di Dipartimento 164, University of Pavia, Department of Economics and Quantitative Methods.
  24. Francisco J. Buera & Joseph P. Kaboski, 2009. "The Rise of the Service Economy," NBER Working Papers 14822, National Bureau of Economic Research, Inc.
  25. Neville Francis & Valerie A. Ramey, 2005. "Measures of Per Capita Hours and their Implications for the Technology-Hours Debate," NBER Working Papers 11694, National Bureau of Economic Research, Inc.
  26. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo Group Munich.
  27. 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.
  28. Michelle Alexopoulos, 2004. "Read All About it: What happens following a technology shock," 2004 Meeting Papers 56, Society for Economic Dynamics.
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  30. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
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