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The Effects of Permanent Technology Shocks on Labour Productivity and Hours in the RBC Model

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  • Lindé, Jesper

Abstract

Recent work on the effects of permanent technology shocks argue that the basic RBC model cannot account for a negative correlation between hours worked and labour productivity. In this Paper, I show that this conjecture is not necessarily correct. In the basic RBC model, I find that hours worked fall and labour productivity rises after a positive permanent technology shock once one allows for the possibility that the process for the permanent technology shock is persistent in growth rates. A more serious limitation of the RBC model is its inability to generate a persistent rise in hours worked after a positive permanent technology shock along with a rise in labour productivity that are in line with what the data suggests.

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Bibliographic Info

Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 4827.

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Date of creation: Jan 2005
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Handle: RePEc:cpr:ceprdp:4827

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Keywords: hours worked per capita; labour productivity; permanent technology shocks; real business cycle model; vector autoregressions;

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References

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  1. Gali, J., 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," Working Papers 96-28, C.V. Starr Center for Applied Economics, New York University.
  2. repec:cup:etheor:v:11:y:1995:i:5:p:1148-71 is not listed on IDEAS
  3. Rodolfo E. Manuelli, 2000. "Technological Change, the Labor Market and the Stock Market," NBER Working Papers 8022, National Bureau of Economic Research, Inc.
  4. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago.
  5. Hansen, Bruce E., 1995. "Rethinking the Univariate Approach to Unit Root Testing: Using Covariates to Increase Power," Econometric Theory, Cambridge University Press, vol. 11(05), pages 1148-1171, October.
  6. 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.).
  7. 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.).
  8. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2004. "The Response of Hours to a Technology Shock: Evidence Based on Direct Measures of Technology," NBER Working Papers 10254, National Bureau of Economic Research, Inc.
  9. Hairault, Jean-Olivier & Langot, Francois & Portier, Franck, 1997. "Time to implement and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 109-121, November.
  10. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  11. Rotemberg, Julio J & Woodford, Michael, 1996. "Real-Business-Cycle Models and the Forecastable Movements in Output, Hours, and Consumption," American Economic Review, American Economic Association, vol. 86(1), pages 71-89, March.
  12. Julio J. Rotemberg, 2003. "Stochastic Technical Progress, Smooth Trends, and Nearly Distinct Business Cycles," American Economic Review, American Economic Association, vol. 93(5), pages 1543-1559, December.
  13. Gary D. Hansen & Edward C. Prescott, 1992. "Recursive methods for computing equilibria of business cycle models," Discussion Paper / Institute for Empirical Macroeconomics 36, Federal Reserve Bank of Minneapolis.
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Cited by:
  1. Peter N. Ireland, 2007. "On the Welfare Cost of Inflation and the Recent Behavior of Money Demand," Boston College Working Papers in Economics 662, Boston College Department of Economics.
  2. Zheng Liu & Louis Phaneuf, 2004. "What Explains the Effects of Technology Shocks on Labor Market Dynamics?," Emory Economics 0414, Department of Economics, Emory University (Atlanta).
  3. Peter N. Ireland & Scott Schuh, 2006. "Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model," Boston College Working Papers in Economics 642, Boston College Department of Economics.
  4. Ashoka Mody & Franziska Ohnsorge, 2007. "Can Domestic Policies Influence Inflation?," IMF Working Papers 07/257, International Monetary Fund.

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