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News
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.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
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.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
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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Особенности статистического измерения и основные направления инноваций в сфере услуг

Вопросы статистики. 2014. № 8. С. 8–24.
Kuznetsova I. A., Ditkovsky K. A., Fridlyanova S.

The article is devoted to the methodological and practical issues of statistical measurement of innovation in the services sector. Specific traits of service sector as an object of the statistical observation have been studied taking into consideration the modern international standards. The paper also examines the main stages of development of the national methodology for innovation survey in Russia, overviews concretized definitions of key terms and concepts, which have been  developed and offered by the authors for service sector. Innovation‘ resources base and effectiveness of service sector enterprises have been analyzed in the framework of the paper which also contains the description of the priority types of innovations in the sectors of communication and computer and related activities.

Research target: Mathematics
Priority areas: economics
Language: Russian
Keywords: innovations statistics in service sectorpriority types of innovations in the sector of communication and computer and related activities,analysis of innovative activity, resources and effectiveness innovationsанализ инновационной активности, ресурсного обеспечения и результатов научно-технических нововведенийстатистика инноваций сферы услуг,приоритетные виды инноваций в секторе связи и информационно-коммуникационных технологий,
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