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Do Technology Shocks Lower Hours Worked? Evidence from the Japan Industrial Productivity Database

  • KWON Hyeog Ug
  • Jun-Hyung KO

We examine the response of productivity and hours worked to technology and non-technology shocks using the Japan Industrial Productivity (JIP) Database. We find that, at the aggregate level, (1) hours worked increase in response to positive technology shocks both in the manufacturing and the nonmanufacturing sectors, which is consistent with the conventional real-business-cycle model; and (2) productivity decreases in response to positive non-technology shocks. At the two- and three-digit industry levels, we find that the correlation between productivity and hours worked in response to technology shocks still tends to be positive in the manufacturing sector while negative in the nonmanufacturing sector. Further, decomposing non-technology shocks into permanent changes in the relative size of industries and industry-specific shocks shows that the negative productivity response to non-technology shocks originates from industry-specific factors.

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Paper provided by Research Institute of Economy, Trade and Industry (RIETI) in its series Discussion papers with number 13018.

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Length: 30 pages
Date of creation: Mar 2013
Date of revision:
Handle: RePEc:eti:dpaper:13018
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  1. Uhlig, Harald, 1999. "What are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure," CEPR Discussion Papers 2137, C.E.P.R. Discussion Papers.
  2. Luca Gambetti & Jordi Galí, 2007. "On the sources of the Great Moderation," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  3. Domenico J. Marchetti & Francesco Nucci, 2007. "Pricing Behavior and the Response of Hours to Productivity Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1587-1611, October.
  4. Alan G. Ahearne & Naoki Shinada, 2005. "Zombie Firms and Economic Stagnation in Japan," Hi-Stat Discussion Paper Series d05-95, Institute of Economic Research, Hitotsubashi University.
  5. Francesco Franco & Thomas Philippon, 2007. "Firms and Aggregate Dynamics," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 587-600, November.
  6. Neville Francis & Valerie A. Ramey, 2005. "Measures of Per Capita Hours and their Implications for the Technology-Hours Debate," NBER Working Papers 11694, National Bureau of Economic Research, Inc.
  7. 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.
  8. Yongsung Chang & Jay H. Hong, 2006. "Do Technological Improvements in the Manufacturing Sector Raise or Lower Employment?," American Economic Review, American Economic Association, vol. 96(1), pages 352-368, March.
  9. Ricardo J. Caballero & Takeo Hoshi & Anil K. Kashyap, 2006. "Zombie Lending and Depressed Restructuring in Japan," NBER Working Papers 12129, National Bureau of Economic Research, Inc.
  10. Carlsson, Mikael & Smedsaas, Jon, 2006. "Technology Shocks and the Labor-Input Response: Evidence from Firm-Level Data," Working Paper Series 198, Sveriges Riksbank (Central Bank of Sweden).
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