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Artificial Intelligence and Employment

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  • Chokri TERZI

Abstract

Purpose: The purpose of this paper is to revisit the relationship between artificial intelligence (AI) and employment for eleven sectors of Tunisian economy in the period 2010-2022. \n Method: In order to study the variability that captures the impact of administrative barriers on investment in a particular sector of activity, we apply a Swamy random coefficients linear regression model, which takes into account cross-sectional heterogeneity issues. \n Results: The empirical results show a global negative effect of AI on employment. Sectoral analysis detected a non-significant positive effect for the energy and agricultural and food industries. \n Originality / relevance: This study finds its originality through the application of Swamy’s method to take into account the heterogeneity of the sectors of the Tunisian economy in the adherence to AI.

Suggested Citation

  • Chokri TERZI, 2025. "Artificial Intelligence and Employment," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 16(1), pages 88-100, June.
    • Handle: RePEc:jaf:journl:v:16:y:2025:i:1:n:900
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    References listed on IDEAS

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    1. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    2. Menyah, Kojo & Nazlioglu, Saban & Wolde-Rufael, Yemane, 2014. "Financial development, trade openness and economic growth in African countries: New insights from a panel causality approach," Economic Modelling, Elsevier, vol. 37(C), pages 386-394.
    3. Milner, Chris & Wright, Peter, 1998. "Modelling Labour Market Adjustment to Trade Liberalisation in an Industrialising Economy," Economic Journal, Royal Economic Society, vol. 108(447), pages 509-528, March.
    4. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    5. Koen De Backer & Timothy DeStefano & Carlo Menon & Jung Ran Suh, 2018. "Industrial robotics and the global organisation of production," OECD Science, Technology and Industry Working Papers 2018/03, OECD Publishing.
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    More about this item

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • N8 - Economic History - - Micro-Business History
    • G3 - Financial Economics - - Corporate Finance and Governance

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