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Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Региональная инфляция и возрастная структура населения: взгляд сквозь призму пространственно-временного подхода

Вопросы экономики. 2025. № 4. С. 112–135.
Терещенко Д. С., Щербаков В. С.

The article focuses on studying the specifics of the influence of the age structure of the population on regional inflation in the territory of the Russian Federation. The main research issue is to identify the nature of the influence (proinflationary or disinflationary) of all population groups (younger than working age, working age, older than working age). A distinctive feature of the work is the simultaneous use of a dynamic and spatial econometric approaches to modeling inflation in the context of demographic processes. The study is conducted for 79 regions of Russia in two subsamples (2003—2014 and 2015—2021). This allows us to take into account the effect of the implementation of the inflation targeting regime, which has been implemented as part of the Bank of Russia’s monetary policy since 2015. As a result of the analysis, it has been found that the population younger than the working age has a disinflationary character, and older than the working age has an inflationary character. No statistically significant results are found for the working age group.

Research target: Economics and Management
Language: Russian
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Keywords: демографияденежно-кредитная политикаmonetary policydemographyвозрастная структура населенияage structure of the populationпространственная эконометрика spatial econometricsregional inflationрегиональная инфляция
Publication based on the results of:
Economic and mathematical analysis of markets, games, and decision-making (2025)
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