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For Whom the Bell Tolls: The Firm-Level Effects of Automation on Wage and Gender Inequality

Author

Listed:
  • Giacomo Domini

    (Erasmus University Rotterdam)

  • Marco Grazzi

    (Universita' Cattolica del Sacro Cuore)

  • Daniele Moschella

    (Scuola Superiore Sant'Anna)

  • Tania Treibich

    (Maastricht University)

Abstract

This paper investigates the impact of investment in automation- and AI- related goods on within-firm wage inequality in the French economy during the period 2002-2017. We document that most of wage inequality in France is accounted for by differences among workers belonging to the same firm, rather than by differences between sectors, firms, and occupations. Using an event-study approach on a sample of firms importing automation and AI-related goods, we find that spike events related to the adoption of automation- or AI-related capital goods are not followed by an increase in within-firm wage nor in gender inequality. Instead, wages increase by 1% three years after the events at different percentiles of the distribution. Our findings are not linked to a rent-sharing behavior of firms obtaining productivity gains from automation or AI adoption. Instead, if the wage gains do not differ across workers along the wage distribution, worker heterogeneity is still present. Indeed, aligned with the framework in Abowd et al.(1999b), most of the overall wage increase is due to the hiring of new employees. This adds to previous findings showing picture of a `labor friendly' effect of the latest wave of new technologies within adopting firms.

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  • Giacomo Domini & Marco Grazzi & Daniele Moschella & Tania Treibich, 2021. "For Whom the Bell Tolls: The Firm-Level Effects of Automation on Wage and Gender Inequality," JRC Working Papers on Labour, Education and Technology 2021-15, Joint Research Centre.
    • Handle: RePEc:ipt:laedte:202115
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    3. Ofori, Isaac K., 2024. "Frontier Technology Readiness, Democracy, and Income Inequality in Africa," EconStor Preprints 298788, ZBW - Leibniz Information Centre for Economics.
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    5. Claudio Costanzo, 2022. "Robots, Jobs, and Optimal Fertility Timing," Working Papers ECARES 2022-36, ULB -- Universite Libre de Bruxelles.
    6. Christenko, Aleksandr, 2022. "Automation and occupational mobility: A task and knowledge-based approach," Technology in Society, Elsevier, vol. 70(C).
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    9. Flavio Calvino & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," CEP Discussion Papers dp2055, Centre for Economic Performance, LSE.
    10. Ofori, Isaac K., 2024. "Frontier Technology Readiness, Democracy, and Income Inequality in Africa," MPRA Paper 121243, University Library of Munich, Germany.
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    More about this item

    Keywords

    Automation; AI; wage inequality; gender pay gap;
    All these keywords.

    JEL classification:

    • D25 - Microeconomics - - Production and Organizations - - - Intertemporal Firm Choice: Investment, Capacity, and Financing
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

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