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  • Фискальная устойчивость и вероятность революционной дестабилизации. Опыт количественного анализа
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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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Фискальная устойчивость и вероятность революционной дестабилизации. Опыт количественного анализа

Вестник Пермского университета. Серия: Политология. 2026. Т. 20. № 2. С. 15–27.
Гусейнов Р. И., Ustyuzhanin V., Korotayev A.

This paper investigates the relationship between fiscal stability and revolutionary onsets. Classic researchers of revolutions, such as Jack Goldstone, have provided theoretical arguments for the importance of fiscal factors, but any substantial quantitative cross-national large-n research has not been conducted yet. Logistic regression analysis with an interaction term that we have performed confirms our main hypotheses that a relationship between government debt and revolutionary onset likelihood is not uniform and depends on the levels of economic development and type of revolutionary instability. We use NAVCO 1.3 and HSE University Centre for Stability and Risk Analysis datasets as our main data sources. The results show that in developing economies, rising government debt is associated with a higher likelihood of armed revolution onset, while in developed economies, the relationship is negative. For unarmed revolutions, there are no significant differences between developing and developed economies. Such results are explained by different logics of government debt increase – developed countries increase government debt to differentiate budget policy, whilst for developing economies, increases in government debt indicate accumulated economic issues. Besides, empirical results show that an increased budget burden undermines developing countries' capacities to finance security apparatus, army, and maintain elite loyalty, provoking armed revolutions.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
Full text
DOI
Keywords: revolutionsреволюции
Publication based on the results of:
State Resilience and National Security of Russia in the Context of the World Order Transformation (2025)
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