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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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Comparative Analysis of Stablecoin Architectural Features in Fragmented Regulatory Environments

FINTECH. 2026. Vol. 5. No. 1. Article 21.
Vlasov A., Egorov A., Karminsky A. M.

Amidst the escalating geopolitical fragmentation of the global financial system, divergent stablecoin architectures are emerging. This study employs Qualitative Comparative Analysis (QCA) and introduces a formalized ‘Geopolitical Stablecoin’ (GPSC) model to conduct a systematic comparison of three representative cases: A quasi-sovereign asset within a coordinated closed-loop system, a commercial asset with global open-market circulation, and a state-issued asset representing a failed local initiative. Our analysis reveals that in the model implemented as a quasi-sovereign asset, parameters traditionally viewed as vulnerabilities—such as reserve opacity and a high degree of centralization—are functionally reinterpreted as elements ensuring its operational resilience. In contrast, the risks associated with the commercial asset model are emergent properties of its scale and decentralized distribution. The findings highlight the necessity for a differentiated regulatory approach aimed at targeted intervention in key architectural components of the model rather than the use of universal bans.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: financial regulationfintech systemic riskStablecoin sanctions
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