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Estimating the bias in technical change: A nonparametric approach

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  • Hampf, Benjamin
  • Krüger, Jens J.

Abstract

In this note we propose a nonparametric methodology to estimate the bias in technical change. We apply the model to estimate the direction of technical progress for a sample of 81 countries covering the period 1970–2014. Our results confirm previous findings that during the 1980s technical change in industrialized countries has become increasingly capital-using. Moreover, we find that patterns in the bias of technical change have converged among different country groups after the productive decade 1995–2004.

Suggested Citation

  • Hampf, Benjamin & Krüger, Jens J., 2017. "Estimating the bias in technical change: A nonparametric approach," Economics Letters, Elsevier, vol. 157(C), pages 88-91.
    • Handle: RePEc:eee:ecolet:v:157:y:2017:i:c:p:88-91
    DOI: 10.1016/j.econlet.2017.05.023
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    References listed on IDEAS

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    Cited by:

    1. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    2. Queiroz, P. & Silva, F.D.F. & Fulginiti, L., 2018. "How did technical change affect land use in Brazilian agriculture?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277318, International Association of Agricultural Economists.
    3. Cristiano Antonelli & Christophe Feder, 2020. "Total factor productivity, catch-up and technological congruence in Italy, 1861–2010," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1171-1194, September.
    4. Juan Qian & Ruibing Ji, 2022. "Impact of Energy-Biased Technological Progress on Inclusive Green Growth," Sustainability, MDPI, vol. 14(23), pages 1-24, December.

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    More about this item

    Keywords

    Biased technical change; Endogenous directions; Data envelopment analysis;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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