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A directional technology convergence index

Author

Listed:
  • Barnabé Walheer

    (Université de Liège)

Abstract

Technology heterogeneity has been highlighted as an important feature in many fields in economics. We suggest a new index that measures technology convergence over time. Our index is flexible and easy to interpret, compute and aggregate. In particular, nonparametric estimation can be used and the practitioners can select the direction of the technology convergence investigation. We illustrate the usefulness of our new index with the case of the technology clubs in macro-empirics.

Suggested Citation

  • Barnabé Walheer, 2021. "A directional technology convergence index," Economics Bulletin, AccessEcon, vol. 41(3), pages 1330-1337.
  • Handle: RePEc:ebl:ecbull:eb-20-01238
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2021/Volume41/EB-21-V41-I3-P113.pdf
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    References listed on IDEAS

    as
    1. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    2. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    3. Walter Briec & Benoit Dervaux & Hervé Leleu, 2003. "Aggregation of Directional Distance Functions and Industrial Efficiency," Journal of Economics, Springer, vol. 79(3), pages 237-261, July.
    4. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Technology heterogeneity; convergence; index; nonparametric estimation; technology clubs.;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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