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

  • Carlsson, M.

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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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
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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  1. 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.
  2. 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.
  3. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-83, April.
  4. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
  5. 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.
  6. 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.
  7. Basu, S. & Fernald, J.G., 1993. "Are Apparent Productive Spillovers a Figment of Specification Error," Papers 93-22, Michigan - Center for Research on Economic & Social Theory.
  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.
  9. John Shea, 1996. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," NBER Technical Working Papers 0193, National Bureau of Economic Research, Inc.
  10. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
  11. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  12. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1990. "Labor Hoarding and the Business Cycle," NBER Working Papers 3556, National Bureau of Economic Research, Inc.
  13. Burnside, C & Eichenbaum, M & Rebelo, S, 1995. "Capital Utilization and Returns to Scale," RCER Working Papers 402, University of Rochester - Center for Economic Research (RCER).
  14. 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.
  15. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-93, August.
  16. Wilson, Daniel J., 2000. "Estimating Returns to Scale: Lo, Still No Balance," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 285-314, April.
  17. 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.
  18. Craig Burnside & Martin Eichenbaum, 1994. "Factor Hoarding and the Propagation of Business Cycles Shocks," NBER Working Papers 4675, National Bureau of Economic Research, Inc.
  19. John G. Fernald & Susanto Basu, 1999. "Why is productivity procyclical? Why do we care?," International Finance Discussion Papers 638, Board of Governors of the Federal Reserve System (U.S.).
  20. Alastair R. Hall & Glenn D. Rudebusch & David W. Wilcox, 1994. "Judging instrument relevance in instrumental variables estimation," Finance and Economics Discussion Series 94-3, Board of Governors of the Federal Reserve System (U.S.).
  21. 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.
  22. 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.
  23. Anxo, Dominique & Sterner, Thomas, 1994. "Using electricity data to measure capital utilization," Energy Economics, Elsevier, vol. 16(1), pages 63-74, January.
  24. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-55, December.
  25. 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.
  26. Shea, J., 1990. "Accident Rates, Labor Effort And The Business Cycle," Working papers 90-28, Wisconsin Madison - Social Systems.
  27. Susanto Basu, 1995. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," NBER Working Papers 5336, National Bureau of Economic Research, Inc.
  28. Ohlsson, Henry & Vredin, Anders, 1994. "Political Cycles and Cyclical Policies. A New Test Approach Using Fiscal Forecasts," SSE/EFI Working Paper Series in Economics and Finance 9, Stockholm School of Economics.
  29. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
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