Artificial Intelligence and Employment
Evidence from Various Sectors of the Tunisian Economy
Keywords:
Artificial intelligence, Employment, Slope homogeneity test, Swamy modelAbstract
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.
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.
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.
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.
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