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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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Человеческий капитал российских рабочих: общее состояние и специфические особенности

Мир России: Социология, этнология. 2017. Т. 26. № 3. С. 6–35.
Tikhonova N. E., Каравай А. В.

The article focuses on the questions concerning quality of the human capital of workers in modern Russia, their heterogeneity in that respect, and the role played by human capital in differentiation of Russian labor force in general and workers in particular. The analysis is based on the data from 24th wave of the Russia Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE) (October 2014 - February 2015); the sample is 12908 individuals, including 2352 workers. Identification of professional statuses was based on the ISCO-08. The article gives an overall assessment of the human capital of working Russians. It is shown that in respect of their human capital quality, workers are divided in two groups with 3:1 ratio. The smaller group possesses high-quality human capital, including higher level of learning experience and skills of using modern digital technologies. This subgroup of workers can make basic labor pool for innovative transformations in the Russian economy in the conditions of development of clear signals on the importance of professional training, in particular – in case of rigid connection between professional training and wages. Using various specifications of Mincer equation, it is shown that currently the situation is quite different, and the quality of human capital has practically no effect on the wages of workers. As a result, even workers with high-quality human capital mostly do not have professional training that match their employment profile (except for on the job training) and do not seek to improve their skills, considering their professionalism to be already high enough.

Research target: Economics and Management Sociology (including Demography and Anthropology
Priority areas: economics sociology state and public administration humanitarian
Language: Russian
Text on another site
Keywords: человеческий капиталсоциальная структурарабочиепрофессиональные группыoccupational structuresocial structure in Russiawokershuman capital
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