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  • Эконометрические модели для высоких и низких оценок единых государственных экзаменов
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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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Эконометрические модели для высоких и низких оценок единых государственных экзаменов

С. 538–541.
Silaeva V. A., Silaev A. M.

Econometric models of the dependence on various factors of the number of participants of the Unified State Examination, which have scored different points for certain subjects in 2012 and 2013, are considered. The analysis uses data on high and low scores for regions of Russia. Dependences of the number of good and bad Unified State Examination points on the number of students who took part in the exam in different regions are studied. It is shown that, the more the number of participants in the exam in each region, the greater the number of both good and bad ratings in the region. But, as a rule, the number of low grades in a discipline is a concave function, and the number of high grades is a convex function of the number of schoolchildren who took part in the exam.

Language: Russian
Full text
Keywords: эконометрические моделирегионы Россииregions of Russiaeconometric modelsUnified State ExaminationЕдиный государственный экзамен

In book

Системное моделирование социально-экономических процессов: труды 40-ой Юбилейной международной научной школы-семинара имени академика С.С. Шаталина
Воронеж: Истоки, 2017.
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