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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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Снижение неравенства в оплате труда в России: динамика и ключевые факторы (2005–2023 гг.)

Журнал Новой экономической ассоциации. 2024. № 4(65). С. 267–275.
Lukyanova A.

The paper examines the decline in earnings inequality in Russia since the early 2000s. The Gini index for earnings fell by nearly 40%, from 0.48 to 0.30. Using the data from two household surveys, we document the trends in inequality between 2005 and 2023 and identify potential drivers behind the trends. Econometric analysis employs RIF-based decompositions. My findings indicate that wage structure effects were the primary contributors to earnings compression, while composition effects—except in the 2020s—tended to exacerbate inequality. The paper highlights the most relevant explanations of changes in earnings inequality, including rising minimum wages, educational upgrading accompanied by declining returns to education, demographic shifts, regional convergence, narrowing rural-urban gaps, changes in industrial structure, and industry premiums. Importantly, there was a notable distinction between the period following 2018–2019 and earlier years, both in terms of the slowdown in inequality reduction and the mechanisms driving this reduction.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
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Keywords: RussiaРМЭЗRLMSearnings inequalitydecompositionRIF-регрессиянеравенство в оплате трудаRIF-regression
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