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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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Network rivalry, Competition and Innovation

Technological Forecasting and Social Change. 2020. Vol. 161. No. article 120253. P. 1–10.
Galvin P., Burton N., Singh P., Sarpong D., Bach N., Teo S.

Strategy, structure and rivalry across an industry has an impact upon innovation outcomes at the industry level. However, when patterns of rivalry are altered through the presence of strategic networks (sets of firms that cooperate closely on the basis of their web of strategic alliances) it is not clear what impact this has upon product market (price) competition and in factor markets (patents). Using data from the motor vehicle industry, we find only limited support for the notion that competitive responses vary with changes in network-level rivalry most likely due to co-opetition and a lack of stability across the networks. The results suggest that firms are likely to engage in co-opetition, thus changes in innovation outcomes can only be observed at the network level. When the presence of strong strategic networks leads to lower levels of rivalry on the basis of at least some cooperative behavior within the network (and competitive actions being focused on firms in other networks) we see a reduction in innovation at the network level. However, as the strategic networks changed consistently over time, the change in patenting behavior was limited.

Priority areas: economics
Language: English
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Keywords: конкуренцияинновацииinnovationcompetitionсетиstrategic alliancesстратегические альянсыnetworks
Publication based on the results of:
Measuring and modelling innovation in the context of evidence-based policymaking (2020)
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