TR
EN
The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries
Öz
Various artificial intelligence technologies such as robotics, machine learning, natural language processing, deep learning, and automation have developed rapidly in recent years and their use has become increasingly widespread in all areas that can affect the economy. These technologies have the capacity to optimize production processes, enhance efficiency levels, and play a decisive role in shaping trade and economic growth. Furthermore, they possess significant potential to exert notable impacts on employment and income inequality. The rise of artificial intelligence has sparked widespread debate, particularly regarding its potential impact on employment dynamics. The study analyzes the effect of artificial intelligence on employment in 29 countries from 2017 to 2021 using the System-GMM estimator. The results showed a statistically significant positive effect of artificial intelligence on employment. The analysis also considers the potential impact of labor productivity on employment in relation to artificial intelligence technologies by including an interaction term in the same model. The estimation results show that while the impact of artificial intelligence and labor productivity on employment is positive when considered individually, the interaction term diminishes this positive effect.
Anahtar Kelimeler
Etik Beyan
This study which does not require ethics committee approval and/or legal/specific permission complies with the research and publication ethics.
Kaynakça
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- Acemoglu, D. and Restrepo, P. (2018b). Artificial intelligence, automation and work. In A. Agrawal, J. Gans and A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda (pp. 197-236). Chicago: University of Chicago Press.
- Acemoglu, D. and Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30. Retrieved from https://www.aeaweb.org/
- Acemoglu, D. and Restrepo, P. (2018a). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. https://doi.org/10.1257/aer.20160696
- Anderson, T.W. and Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics, 18(1), 47–82. https://doi.org/10.1016/0304-4076(82)90095-1
- Arellano, M. and Bond, S. (1991). Some Tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
- Arellano, M. and Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
- Arntz, M., Gregory, T. and Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis (OECD Social, Employment and Migration Working Papers No. 189). Retrieved from https://www.oecd.org/en/publications/the-risk-of-automation-for-jobs-in-oecd-countries_5jlz9h56dvq7-en.html
Ayrıntılar
Birincil Dil
İngilizce
Konular
Panel Veri Analizi , Uygulamalı Makro Ekonometri, İstihdam, Makro İktisat (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
28 Mart 2025
Gönderilme Tarihi
17 Ocak 2025
Kabul Tarihi
27 Mart 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 10 Sayı: 1
APA
Çetin, C. N., & Kutlu, E. (2025). The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries. Ekonomi Politika ve Finans Araştırmaları Dergisi, 10(1), 202-233. https://doi.org/10.30784/epfad.1621455
AMA
1.Çetin CN, Kutlu E. The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries. EPF Journal. 2025;10(1):202-233. doi:10.30784/epfad.1621455
Chicago
Çetin, Cemre Nur, ve Erol Kutlu. 2025. “The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries”. Ekonomi Politika ve Finans Araştırmaları Dergisi 10 (1): 202-33. https://doi.org/10.30784/epfad.1621455.
EndNote
Çetin CN, Kutlu E (01 Mart 2025) The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries. Ekonomi Politika ve Finans Araştırmaları Dergisi 10 1 202–233.
IEEE
[1]C. N. Çetin ve E. Kutlu, “The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries”, EPF Journal, c. 10, sy 1, ss. 202–233, Mar. 2025, doi: 10.30784/epfad.1621455.
ISNAD
Çetin, Cemre Nur - Kutlu, Erol. “The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries”. Ekonomi Politika ve Finans Araştırmaları Dergisi 10/1 (01 Mart 2025): 202-233. https://doi.org/10.30784/epfad.1621455.
JAMA
1.Çetin CN, Kutlu E. The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries. EPF Journal. 2025;10:202–233.
MLA
Çetin, Cemre Nur, ve Erol Kutlu. “The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries”. Ekonomi Politika ve Finans Araştırmaları Dergisi, c. 10, sy 1, Mart 2025, ss. 202-33, doi:10.30784/epfad.1621455.
Vancouver
1.Cemre Nur Çetin, Erol Kutlu. The Impact of Artificial Intelligence on Employment: A Panel Data Analysis for Selected Countries. EPF Journal. 01 Mart 2025;10(1):202-33. doi:10.30784/epfad.1621455