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Innovation and market value: a quantile regression analysis

Author

Listed:
  • Alex Coad

    (CES-MATISSE, Univ. Paris 1 and LEM, Sant'Anna School, Pisa)

  • Rekha Rao

    (LEM, Sant'Anna School, Pisa)

Abstract

We construct a new database by matching firm-level Compustat data to NBER patent data, for four 2-digit complex technology sectors. Whilst conventional regression estimators show that the stock market does recognise efforts at innovation, quantile regression analysis adds a new dimension to the literature, suggesting that the influence of innovation on market value varies dramatically across the market value distribution. For firms with a low value of Tobin's q, the stock market will barely recognize their attempts to innovate. For firms with the highest values of Tobin''s q, however, their market value is particularly sensitive to innovative activity.

Suggested Citation

  • Alex Coad & Rekha Rao, 2006. "Innovation and market value: a quantile regression analysis," Economics Bulletin, AccessEcon, vol. 15(13), pages 1-10.
    • Handle: RePEc:ebl:ecbull:eb-06o10012
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Innovation;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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