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Measures of Technology and the Short-Run Responses to Technology Shocks - Is the RBC-Model Consistent with Swedish Manufacturing Data?

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Author Info

  • Carlsson, M.

Abstract

This paper estimates technology growth using several variants of the Hall (1988, 1990) method on data for Swedish two-digit manufacturing industries. More specifically, I first apply and evaluate two different approaches to control for varying factor utilization developed by Basu et al. (1998) and Burnside et al. (1995). Second, I propose a generalization of the latter specification. Finally, the cyclical behavior of the resulting technology measure is studied and the responses of hours and output to a technology shock are estimated using a variant of the standard VAR-approach. The main finding is that a positive technology shock has, on impact, a contractionary effect on hours and non-expansionary effect on output. This finding is inconsistent with the predictions of the standard real business cycle model.

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Bibliographic Info

Paper provided by Uppsala - Working Paper Series in its series Papers with number 2000:20.

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Length: 62 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:uppaal:2000:20

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Postal: UPPSALA UNIVERSITY, DEPARTMENT OF ECONOMICS, S-751 20 UPPSALA SWEDEN.
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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Web page: http://www.nek.uu.se/
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Keywords: MANUFACTURING ; GROWTH RATE ; BEHAVIOUR ; TECHNOLOGY;

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References

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  1. Charles R. Nelson & Richard Startz, 1988. "The Distribution of the Instrumental Variables Estimator and Its t-RatioWhen the Instrument is a Poor One," NBER Technical Working Papers 0069, National Bureau of Economic Research, Inc.
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  3. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  4. Susanto Basu & John G. Fernald, 1999. "Are Apparent Productive Spillovers a Figment of Specification Error?," NBER Working Papers 5073, National Bureau of Economic Research, Inc.
  5. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 1994. "The effects of monetary policy shocks: evidence from the flow of funds," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
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  8. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
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  10. 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.
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  17. Susanto Basu & John G. Fernald, 1996. "Returns to scale in U.S. production: estimates and implications," International Finance Discussion Papers 546, Board of Governors of the Federal Reserve System (U.S.).
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  23. Costello, Donna M, 1993. "A Cross-Country, Cross-Industry Comparison of Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 207-22, April.
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Cited by:
  1. Chahnez Boudaya, 2006. "Stage-specific technology shocks and employment : Could we reconcile with the RBC models ?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00115791, HAL.
  2. Chahnez Boudaya, 2005. "The effects of technological innovations on employment : a new explanation," Cahiers de la Maison des Sciences Economiques v05013, Université Panthéon-Sorbonne (Paris 1).
  3. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
  4. Alexius, Annika & Carlsson, Mikael, 2002. "Measures of Technology and the Business Cycle," Working Paper Series 2002:10, Uppsala University, Department of Economics, revised 02 Mar 2006.
  5. Alexius, Annika & Carlsson, Mikael, 2001. "Measures of Technology and the Business Cycle: Evidence from Sweden and the U.S," Working Paper Series 174, Trade Union Institute for Economic Research.

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