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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. Bruce E. Hansen, 1995. "Rethinking the Univariate Approach to Unit Root Testing: Using Covariates to Increase Power," Boston College Working Papers in Economics 300., Boston College Department of Economics.
  2. Jordi Gali, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations," NBER Working Papers 5721, National Bureau of Economic Research, Inc.
  3. 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.
  4. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
  5. 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.
  6. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago.
  7. 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.
  8. repec:cup:etheor:v:11:y:1995:i:5:p:1148-71 is not listed on IDEAS
  9. 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.).
  10. 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.
  11. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  12. Rodolfo E. Manuelli, 2000. "Technological Change, the Labor Market and the Stock Market," NBER Working Papers 8022, National Bureau of Economic Research, Inc.
  13. Hairault, Jean-Olivier & Langot, François & Portier, Franck, 1996. "Time to implement and aggregate fluctuations," CEPREMAP Working Papers (Couverture Orange) 9606, CEPREMAP.
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Cited by:
  1. Peter N. Ireland, 2009. "On the Welfare Cost of Inflation and the Recent Behavior of Money Demand," American Economic Review, American Economic Association, vol. 99(3), pages 1040-52, June.
  2. Mandelman, Federico S & Zanetti, Francesco, 2010. "Technology shocks, employment and labour market frictions," Bank of England working papers 390, Bank of England.
  3. Peter Ireland & Scott Schuh, 2008. "Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 473-492, July.
  4. 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).
  5. Ashoka Mody & Franziska Ohnsorge, 2007. "Can Domestic Policies Influence Inflation?," IMF Working Papers 07/257, International Monetary Fund.
  6. Park, Kangwoo, 2012. "Employment responses to aggregate and sectoral technology shocks," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 801-821.

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