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The Routine Biased Technical Change hypothesis: a critical review

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In this report we contribute to the growing debate about how the introduction of technology affects labour demand. First, we provide some background of the main theoretical frameworks (SBTC and RBTC) used by researchers to explain recent changes in the employment distribution. Second, we review the most important empirical studies using the RBTC model. Overall, the prevailing economic literature provides empirical support to the RBTC model: cheaper computerisation progressively replaces human labour in routine tasks, thereby leading to an increase in the relative demand for workers performing non-routine tasks. Third, we show that the RBTC captures quite well the changes in the employment distribution, but we argue that it presents challenges from a conceptual, operational, and empirical point of view. These challenges are discussed in the report. Finally, we argue that the literature has yet to converge to a model that consistently explains how technology affects the labour demand. The RBTC has the merit of providing an explanation of why cheaper computerisation progressively replaces human labour in routine tasks, leading to an increase in the relative demand for workers performing non-routine tasks. However, it is not immune to severe challenges, especially on the empirical ground. Future research should focus on the development of a measurement framework that addresses the challenges raised in this report.

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  • Sebastian Lago Raquel & Federico Biagi, 2018. "The Routine Biased Technical Change hypothesis: a critical review," JRC Research Reports JRC113174, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc113174
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC113174
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    2. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    3. Ugur, Mehmet, 2019. "Innovation, technology adoption and employment: Evidence synthesis," Greenwich Papers in Political Economy 28307, University of Greenwich, Greenwich Political Economy Research Centre.
    4. Arief A. Yusuf & Reza Anglingkusumo & Andy Sumner & Putri R. Halim & Anggita C.M. Kusuma, 2020. "Routinization And The Changing Task Composition In The Labor Market: Evidence From Indonesia," Working Papers WP/06/2020, Bank Indonesia.
    5. Matthias Haslberger, 2022. "Rethinking the measurement of occupational task content," The Economic and Labour Relations Review, , vol. 33(1), pages 178-199, March.
    6. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    7. Zoltan Csefalvay, 2019. "What are the policy options? A systematic review of policy responses to the impacts of robotisation and automation on the labour market," JRC Working Papers on Corporate R&D and Innovation 2019-02, Joint Research Centre.

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