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

Author

Listed:
  • Carlsson, Mikael

    (Department of Economics)

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.

Suggested Citation

  • Carlsson, Mikael, 2000. "Measures of Technology and the Short-Run Responses to Technology Shocks - Is the RBC-Model Consistent with Swedish Manufacturing Data?," Working Paper Series 2000:20, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:2000_020
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    References listed on IDEAS

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    Cited by:

    1. Galí, Jordi & Rabanal, Pau, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Post-War US Data?," CEPR Discussion Papers 4522, C.E.P.R. Discussion Papers.
    2. Chahnez Boudaya, 2006. "Stage-specific technology shocks and employment :could we reconcile with the RBC models?," Cahiers de la Maison des Sciences Economiques v06043, Université Panthéon-Sorbonne (Paris 1).
    3. Chahnez Boudaya, 2005. "The effects of technological innovations on employment: a new explanation," Post-Print halshs-00193600, HAL.
    4. 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.
    5. Marcin Kolasa, 2008. "Productivity, innovation and convergence in Poland1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 16(3), pages 467-501, July.
    6. 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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    More about this item

    Keywords

    technological change; cyclical factor utilization; business fluctuations; panel data; manufacturing;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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