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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
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Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
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A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Xenophobia on the rise? Temporal and regional trends in xenophobic attitudes in Russia

Comparative Politics. 2018. Vol. 50. No. 3. P. 381–394.
Chapman H., Marquardt K., Herrera Y.

In this article we consider the trajectory of xenophobia in Russia since the disintegration of the Soviet Union. Using survey data from 1996, 2004, and 2012, we examine Russians' negative attitudes toward seven outgroups over time. We also statistically analyze the degree to which correlates of xenophobia have changed between 1996 and 2012. We find that Muscovites have become more xenophobic toward many groups over time relative to residents of other regions. This change is particularly striking in comparison to 1996, when Muscovites were generally less xenophobic than residents of other regions. Finally, we find that a strong lack of confidence in Russian President Putin is associated with higher levels of xenophobia across time, complicating the perceived link between the Russian government and xenophobic sentiment.

Language: English
DOI
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Keywords: xenophobiaRussian politicsBayesian methods
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