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Measures of Technology and the Business Cycle

Author

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  • Alexius, Annika

    (Department of Economics)

  • Carlsson, Mikael

    (Department of Economics)

Abstract

Empirical evidence on the relationship between technology shocks and e.g. hours worked hinges crucially on the identification of the unobservable technological progress. In this paper, we study different measures of technology in order to find out (i) to what extent they capture the same underlying phenomenon and (ii) whether the implications for macroeconomic theory are robust across the approaches. Several versions of the productions function approach and structural VAR models are investigated. Our main finding is that the different technology measures are highly correlated. However, the exact formulation of the identifying restrictions seems to matter for the results. While we replicate the standard finding of a strongly procyclical Solow residual, all other measures of technology are either acyclical or countercyclical.

Suggested Citation

  • 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.
    • Handle: RePEc:hhs:uunewp:2002_010
    Note: Revised version of the second half of the paper.
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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