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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. Susanto Basu, 1995. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," NBER Working Papers 5336, National Bureau of Economic Research, Inc.
  2. Shea, J., 1990. "Accident Rates, Labor Effort And The Business Cycle," Working papers 90-28, Wisconsin Madison - Social Systems.
  3. 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.
  4. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-55, December.
  5. Wilson, Daniel J., 2000. "Estimating Returns to Scale: Lo, Still No Balance," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 285-314, April.
  6. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-98, May.
  7. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital utilization and returns to scale," Working Paper Series, Macroeconomic Issues 95-5, Federal Reserve Bank of Chicago.
  8. Galí, Jordi, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," CEPR Discussion Papers 1499, C.E.P.R. Discussion Papers.
  9. Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
  10. Susanto Basu & John Fernald, 2000. "Why is productivity procyclical? Why do we care?," Working Paper Series WP-00-11, Federal Reserve Bank of Chicago.
  11. Basu, Susanto & Fernald, John G., 1995. "Are apparent productive spillovers a figment of specification error?," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 165-188, August.
  12. John Shea, 1996. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," NBER Technical Working Papers 0193, National Bureau of Economic Research, Inc.
  13. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
  14. Craig Burnside & Martin Eichenbaum, 1994. "Factor Hoarding and the Propagation of Business Cycles Shocks," NBER Working Papers 4675, National Bureau of Economic Research, Inc.
  15. Nelson, C. & Startz, R., 1988. "The Distribution Of The Instrumental Variables Estimator And Its T-Ratio When The Instrument Is A Poor One," Working Papers 88-07, University of Washington, Department of Economics.
  16. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
  17. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 1994. "The effects of monetary policy shocks: evidence from the Flow of Funds," Working Paper Series, Macroeconomic Issues 94-2, Federal Reserve Bank of Chicago.
  18. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  19. Kimball, Miles S, 1995. "The Quantitative Analytics of the Basic Neomonetarist Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 1241-77, November.
  20. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
  21. Dufwenberg, Martin & Koskenkyla, Heikki & Sodersten, Jan, 1994. " Manufacturing Investment and Taxation in the Nordic Countries," Scandinavian Journal of Economics, Wiley Blackwell, vol. 96(3), pages 443-61.
  22. Ramey, Valerie A, 1989. "Inventories as Factors of Production and Economic Fluctuations," American Economic Review, American Economic Association, vol. 79(3), pages 338-54, June.
  23. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
  24. Ohlsson, Henry & Vredin, Anders, 1996. " Political Cycles and Cyclical Policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(2), pages 203-18, June.
  25. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1990. "Labor Hoarding and the Business Cycle," NBER Working Papers 3556, National Bureau of Economic Research, Inc.
  26. 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.).
  27. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  28. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-93, August.
  29. Anxo, Dominique & Sterner, Thomas, 1994. "Using electricity data to measure capital utilization," Energy Economics, Elsevier, vol. 16(1), pages 63-74, January.
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Citations

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Cited by:
  1. 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.
  2. 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.
  3. repec:hal:journl:halshs-00115791 is not listed on IDEAS
  4. repec:hal:cesptp:halshs-00115791 is not listed on IDEAS
  5. repec:hal:journl:halshs-00193600 is not listed on IDEAS
  6. Annika Alexius & Mikael Carlsson, 2005. "Measures of Technology and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 299-307, May.
  7. 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).

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