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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.
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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Институциональные факторы решений иностранных инвесторов о структуре новых инвестиций

С. 540–548.
Bessonova E., Gonchar K. R.

This paper presents the findings from the project, supported by the Individual grant program of the HSE Reserach Fund. It explains the scale decisions of greenfield affiliates of foreign mutinationals at the Russian market depending on the institutional barriers at the subnational level. We have used microdata of greenfield FDI firms, which entered the market between 2001 and 2001 and excluded the round tripped investors. The data was obtained from RUSLANA Bureu Van Dijk data set and survey data from the World Banks BEEPs data on Russia from 2011. We have run the multilevel nested logit model of the regional choice from 37 alternatives and interact the firm size and institutional variables. The results confirm the theoretical prediction: weak subnational institutions are associated with less entries and larger size of affiliate. We have explained this results by the need to have sufficient resources to cover entry costs in high barrier locations and the need to have sifficient size to extablish informal connections with the authorities and other market participants in order to be able to function in tye places with the relatively weak institutions. 

Language: Russian
Full text
Keywords: институтыпрямые иностранные инвестиции Foreign Direct Investment (FDI) informal and formal institutionssize of foreign affiliateразмер предприятия
Publication based on the results of:
Структурные решения иностранных инвесторов в условиях неэффективных институтов (2015)

In book

XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
Кн. 2. , М.: Издательский дом НИУ ВШЭ, 2016.
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