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The Effects of Permanent Technology Shocks on Labor Productivity and Hours in the RBC model

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Lindé, Jesper () (Research Department, Central Bank of Sweden)

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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 labor 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 labor productivity rises after a positive permanent technology shock once one allows for the possibility that the process for the permanent technology shock is slightly 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 labor productivity that are in line with what the data suggests. These results call for a reconsideration of the real and nominal frictions and policy response that need to be introduced in the basic RBC model in order to improve the model’s ability to match the data.

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Publisher Info
Paper provided by Sveriges Riksbank (Central Bank of Sweden) in its series Working Paper Series with number 161.

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Length: 24 pages
Date of creation: 01 Apr 2004
Date of revision:
Handle: RePEc:hhs:rbnkwp:0161

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Postal: Sveriges Riksbank, SE-103 37 Stockholm, Sweden
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Related research
Keywords: permanent technology shocks; hours worked per capita; labor productivity; real business cycle model; vector autoregressions;

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Find related papers by JEL classification:
E24 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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.
  2. 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. [Downloadable!]
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  3. 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. [Downloadable!]
  4. 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. [Downloadable!] (restricted)
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  5. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December. [Downloadable!] (restricted)
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  6. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November. [Downloadable!] (restricted)
  7. 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. [Downloadable!]
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  8. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March. [Downloadable!] (restricted)
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  9. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. 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. [Downloadable!] (restricted)
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  11. Rodolfo E. Manuelli, 2000. "Technological Change, the Labor Market and the Stock Market," NBER Working Papers 8022, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  12. repec:cup:etheor:v:11:y:1995:i:5:p:1148-71 is not listed on IDEAS
  13. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago. [Downloadable!]
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Ashoka Mody & Franziska Ohnsorge, 2007. "Can Domestic Policies Influence Inflation?," IMF Working Papers 07/257, International Monetary Fund. [Downloadable!]
  2. 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," Working Papers 06-10, Federal Reserve Bank of Boston. [Downloadable!]
    Other versions:
  3. 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). [Downloadable!]
  4. 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. [Downloadable!]
    Other versions:
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