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Growth in the age of automation: Foundations of a theoretical framework

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  • Orlando Gomes

Abstract

The replacement of humans by machines in the development of a wide array of productive tasks is changing the economic landscape. Mutations on the structure of employment, widening income gaps, and uncertain effects over growth are some of the worries currently in the mind of economists. This article develops the foundations of a neoclassical growth model that puts into perspective the impact of automation over the aggregate economy. In particular, efficiency gains propelled by the current wave of innovation are confronted with the associated loss of jobs and with the potential social unrest and anxiety that the substitution of labor by robots brings. The strength of each effect determines transition paths and steady‐state results.

Suggested Citation

  • Orlando Gomes, 2019. "Growth in the age of automation: Foundations of a theoretical framework," Metroeconomica, Wiley Blackwell, vol. 70(1), pages 77-97, February.
  • Handle: RePEc:bla:metroe:v:70:y:2019:i:1:p:77-97
    DOI: 10.1111/meca.12229
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    Cited by:

    1. Orlando Gomes, 2021. "Growth theory under heterogeneous heuristic behavior," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 533-571, April.
    2. Raja Bentaouet Kattan & Kevin Macdonald & Harry Anthony Patrinos, 2021. "The Role of Education in Mitigating Automation’s Effect on Wage Inequality," LABOUR, CEIS, vol. 35(1), pages 79-104, March.

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