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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.
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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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Обращения в государственные и частные медицинские организации: выбор пациентов

Народонаселение. 2023. Т. 26. № 2. С. 139–152.
Davitadze A., Aleksandrova E.

Healthcare system in Russia lets patients choose where they want to get medical services: at public or private healthcare facilities. This choice may depend on several factors. According to Andersen’s healthcare utilization model, these factors can be divided into three groups: predisposing, enabling and need factors. The purpose of this study is to identify factors determining patient choice between public and private healthcare providers in Russia. Statistical and regression analysis was carried out using 2019 Rosstat data. We found that men and people from older age groups were more likely to attend public facilities, while people with higher education, employed and living in larger cities were more likely to attend private clinics. Higher income, having supplemental health insurance, and receiving medical services outside one’s city were associated with an increase in probability of using private healthcare providers. Analysis of need factors showed that worse health in individuals was associated with increased probability of choosing private medical organizations, whereas disability was associated with decreased probability of making the same choice.

Language: Russian
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Keywords: частные медицинские организациипотребительский выборсистема здравоохранениявыбор пациентаpatient choicehealthcare systemconsumer choiceAndersen modelpublic healthcare facilitiesprivate healthcare facilitiesмодель Андерсенагосударственные медицинские организации
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