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Identifying the sector bias of technical change

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  • Thomas Brasch

    (Statistics Norway
    NUPI)

Abstract

The empirical literature studying the sector bias of technical change has only focused on skill-biased technical change. In this paper, I analyse the sector bias of both factor-neutral and factor-biased technical change. In Norwegian data from 1972 to 2007, the empirical evidence is not clear on the impact of a sector bias of skill-biased technical change, but it points to a sector bias of factor-neutral technical change from the 1970s to the 1990s. That said, the impact of the sector bias seems to have reduced towards the latter part of the sample period. I also evaluate the cross-sectional model used in the literature and show the strong restrictions that must be placed on a vector equilibrium correction model to end up with the standard model. If these restrictions do not hold, the results reported in the literature may be biased. I show that the restrictions are strongly rejected, and that erroneously imposing them significantly changes the estimates of skill-biased technical change in many sectors. These results can, to some extent, be traced back to how the cross-sectional model ignores initial disequilibrium and imposes factors of production to be either complements or substitutes.

Suggested Citation

  • Thomas Brasch, 2016. "Identifying the sector bias of technical change," Empirical Economics, Springer, vol. 50(2), pages 595-621, March.
  • Handle: RePEc:spr:empeco:v:50:y:2016:i:2:d:10.1007_s00181-015-0938-7
    DOI: 10.1007/s00181-015-0938-7
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    References listed on IDEAS

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    Cited by:

    1. Campos-González, Jorge & Balcombe, Kelvin, 2024. "The race between education and technology in Chile and its impact on the skill premium," Economic Modelling, Elsevier, vol. 131(C).

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