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How do Canadian hours worked respond to a technology shock?

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Author Info
Lawrence J Christiano
Martin Eichenbaum
Robert Vigfusson

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Abstract

This paper investigates the response of hours worked to a permanent technology shock. Based on annual data from Canada, we argue that hours worked rise after a positive technology shock. We obtain a similar result using annual data from the United States. These results contradict a large literature that claims that a positive technology shock causes hours worked to fall. We find that the different results are due to the literature making a specification error in the statistical model of per capital hours worked. Finally, we present results that Canadian monetary policy has accommodated technology shocks.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 774.

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Date of creation: 2003
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Handle: RePEc:fip:fedgif:774

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Keywords: Productivity ; Technology;

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  1. Lawrence J. Christiano & Lars Ljungqvist, 1987. "Money does Granger-cause output in the bivariate output-money relation," Staff Report 108, Federal Reserve Bank of Minneapolis. [Downloadable!]
  2. Elliott, Graham & Jansson, Michael, 2003. "Testing for unit roots with stationary covariates," Journal of Econometrics, Elsevier, vol. 115(1), pages 75-89, July. [Downloadable!] (restricted)
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  3. 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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  4. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
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  5. Jordi Gali & J. David Lopez-Salido & Javier Valles, 2002. "Technology Shocks and Monetary Policy: Assessing the Fed's Performance," NBER Working Papers 8768, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  6. 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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  7. 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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  8. Martin S. Eichenbaum & Kenneth J. Singleton, 1986. "Do Equilibrium Real Business Cycle Theories Explain Post-War U.S. Business Cycles?," NBER Working Papers 1932, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  9. repec:cup:etheor:v:11:y:1995:i:5:p:1148-71 is not listed on IDEAS
  10. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago. [Downloadable!]
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  11. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," Cowles Foundation Discussion Papers 870, Cowles Foundation, Yale University. [Downloadable!]
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  12. Neville Francis & Valerie A. Ramey, 2002. "Is the Technology-Driven Real Business Cycle Hypothesis Dead?," NBER Working Papers 8726, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  13. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-44, January. [Downloadable!] (restricted)
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