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A complexity view on the future of work. Meta-modelling exploration of the multi-sector K+S agent based model

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  • Giovanni Dosi
  • Marcelo C. Pereira
  • Andrea Roventini
  • Maria Enrica Virgillito

Abstract

When complexity meets economics, complexity economics turns out to be something more than simple interactions across individuals/entities, it turns into what has been labelled the bicycle postulate made of two components, coordination and change. Granted the ''Complex evolving system approach'', we provide an example of the effectiveness of the complexity view in economics applied to the context of the current debate on the future of work drawing upon the agent-based ''Schumpeter meeting Keynes'' multi-sector model (Dosi et al., 2022) and the meta-modelling approach developed in Dosi et al. (2018). The complexity approach proves to be an alternative, useful lens to address the technical change vs employment relationship modulated by demand patterns, income distribution, structural change and labour market organizations. It allows to enlarge the scope of investigation beyond production functions of tasks, relative prices of capital vs labour, inputs substitutability, comparative advantages of workers in their skill levels, the latter elements upon which the dominant neoclassical approach on the employment-technology nexus is rooted.

Suggested Citation

  • Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2022. "A complexity view on the future of work. Meta-modelling exploration of the multi-sector K+S agent based model," LEM Papers Series 2022/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2022/22
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    References listed on IDEAS

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    2. G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
    3. Dosi, G. & Virgillito, M.E., 2021. "In order to stand up you must keep cycling: Change and coordination in complex evolving economies," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 353-364.
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    6. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    7. Giovanni DOSI & Maria Enrica VIRGILLITO, 2019. "Whither the evolution of the contemporary social fabric? New technologies and old socio‐economic trends," International Labour Review, International Labour Organization, vol. 158(4), pages 593-625, December.
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    Cited by:

    1. Giovanni Dosi & Davide Usula & Maria Enrica Virgillito, 2024. "Increasing returns and labor markets in a predator–prey model," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 375-402, April.

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    Keywords

    Complexity; Meta-modelling; Future of work.;
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