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Estimating the Bias in Technical Change: A Nonparametric Approach

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  • Krüger, Jens
  • Hampf, Benjamin

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  • Krüger, Jens & Hampf, Benjamin, 2017. "Estimating the Bias in Technical Change: A Nonparametric Approach," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 92489, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:92489
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/92489/
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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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