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Trends in hours, balanced growth and the role of technology in the business cycle

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Abstract

The present paper revisits a property embedded in most dynamic macroeconomic models: the stationarity of hours worked. First, I argue that, contrary to what is often believed, there are many reasons why hours could be nonstationary in those models, while preserving the property of balanced growth. Second, I show that the postwar evidence for most industrialized economies is clearly at odds with the assumption of stationary hours per capita. Third, I examine the implications of that evidence for the role of technology as a source of economic fl uctuations in the G7 countries.

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  • Jordi Galí, 2005. "Trends in hours, balanced growth and the role of technology in the business cycle," Economics Working Papers 829, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:829
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    Cited by:

    1. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 969-1006.
    2. Mark Aguiar & Erik Hurst, 2006. "Measuring trends in leisure," Proceedings, Federal Reserve Bank of San Francisco.
    3. Razzak, 2015. "Wage, productivity and unemployment: microeconomics theory and macroeconomics data," Applied Economics, Taylor & Francis Journals, vol. 47(58), pages 6284-6300, December.
    4. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    5. Avouyi-Dovi, S. & Matheron, J., 2005. "Technology Shocks and Monetary Policy in an Estimated Sticky Price Model of the US Economy," Working papers 123, Banque de France.
    6. Silvia Sgherri, 2005. "Long-Run Productivity Shifts and Cyclical Fluctuations; Evidence for Italy," IMF Working Papers 05/228, International Monetary Fund.
    7. Hashmat Khan & John Tsoukalas, 2005. "Technology Shocks and UK Business Cycles," Macroeconomics 0512006, EconWPA.
    8. 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.
    9. Ellen R. McGrattan & Edward C. Prescott, 2010. "Unmeasured Investment and the Puzzling US Boom in the 1990s," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 88-123, October.
    10. Kim, Bae-Geun, 2010. "Identifying a permanent markup shock and its implications for macroeconomic dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1471-1491, August.
    11. Malik, Kashif Zaheer & Ali, Syed Zahid & Khalid, Ahmed M., 2014. "Intangible capital in a real business cycle model," Economic Modelling, Elsevier, vol. 39(C), pages 32-48.
    12. Ossama Mikhail, 2005. "What Happens After A Technology Shock? A Bayesian Perspective," Macroeconomics 0510016, EconWPA.
    13. Fabio Canova & David López-Salido & Claudio Michelacci, 2006. "On the robust effects of technology shocks on hours worked and output," Economics Working Papers 1013, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2008.

    More about this item

    Keywords

    real business cycles; technology shocks; market frictions; balanced growth path; stationarity of hours;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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