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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
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HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Влияние государственной поддержки на финансовую эффективность малых и средних предприятий

Экономическая политика. 2025. Т. 20. № 3. С. 62–95.
Naidenova I. N., Paklina S., Parshakov P., Teplykh G., Чередникова Е. И.

This article elucidates the impact that various forms of government support have on the financial efficiency of small and medium-size enterprises (SMEs) in Russia. The empirical literature on this topic is inadequate to date even though the SME sector is extremely important for the socioeconomic development of Russia. Seven key types of this government support are examined, including initiatives in finance, credits and loans, education, consulting, information, innovation, and property issues. The sample studied employs data on 165,000 Russian SMEs from 2019 to 2022. Performance indicators such as return on equity, return on assets, and employee count are utilized
to analyze the effects of government support. The analysis relies on the difference-in-differences method applied to a panel data model which is responsive to effects on individual companies and also on a dynamic model. This study finds that financial, informational, and, to a lesser extent, consulting support have a positive effect on profitability that begins in the year following assistance; the impact of the other four types is much less obvious. The negligible impact of some kinds of support may mean that they are focused on particular aspects of a company’s activities and will have an economic effect only indirectly and over a longer term. These results deepen understanding of ways to provide stimulus to SMEs in the short term and thus enable the managers and owners of the companies themselves to understand the main types of government support that, on average, facilitate rapid growth in business efficiency. The results also suggest the following economic policy recommendations: optimizing the support structure, developing information platforms, expanding non-financial support instruments, reducing bureaucratic barriers, and implementing a comprehensive system for monitoring and evaluating support outcomes.

Research target: Economics and Management
Language: Russian
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Keywords: корпоративные финансысубсидииcorporate financesubsidiesbusiness incentivesстимулирование бизнеса
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