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Анализ деловой неопределенности с помощью LC-кривых
Вопросы экономики. 2025. № 11. С. 143–157.
The LC-curve method, a new approach to time series analysis, was applied to the composite Business Uncertainty Index (BUI), based on the results of regular Rosstat business surveys, which made it possible to analyze uncertainty trajectories across Russia's enlarged industries and sub-sectors using two index specifications: ex-ante (forecast) and ex-post (actual). The results of the empirical analysis for the period 2020-2024 have shown the high sensitivity of LC-curves to shocks of the business environment, their relevance for assessing the stages of business activity in various industries. Thus, both crisis periods included in the time interval of the study, namely 2020 and 2022, were successfully identified in the dynamics of the plotted curves, and it was shown that the pandemic had a more serious negative impact. At the same time, according to their forecast dynamics, in 2025 the industry will enter a phase of slowing growth. Special attention is paid to the analysis of medium-high and high-tech industries, among which the industries that demonstrate the greatest stability and potentially play a key role in the structural transformation of the economy are highlighted.
Lola I. S., Ostapkovich G. V., Asoskov D., ИСИЭЗ НИУ ВШЭ, 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационно-аналитический материал «Потребительские настроения населения в III квартале 2026 г.», подготовленный в рамках Программы фундаментальных исследований НИУ ВШЭ.
В основу обзора положены ежеквартальные опросы более 5 тыс. человек в возрасте от 16 лет и старше. Такие опросы Федеральная служба государственной статистики (Росстат) проводит во всех субъектах ...
Added: October 6, 2026
Rastvortseva S., Tyushkevich Y., Salushkina Z. S., Journal of regional and international competitiveness 2026 Vol. 7 No. 2 P. 38–49
This paper examines the contemporary models of international competitiveness adopted by Big Tech corporations between 2010 and 2025. The study aims to identify the internal drivers underpinning the resilience of technological giants and to assess their capacity to withstand external shocks, including sanctions, geo-economic fragmentation, and regulatory shifts. To achieve this objective, the authors employ ...
Added: October 5, 2026
De Gruyter, 2026.
Post-Soviet Eurasia is one of the world's most geopolitically consequential and rapidly transforming regions. Developments across it increasingly reshape political, economic and social relations far beyond its borders. Understanding these dynamics is therefore both intellectually urgent and analytically demanding, requiring an interdisciplinary approach capable of moving beyond established categories and fragmented national perspectives.
This handbook provides ...
Added: October 5, 2026
М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
В шестнадцатом выпуске электронного издания «Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMSHSE)» представлены работы, подготовленные на основании данных лонгитюдного обследования домохозяйств «Российский мониторинг экономического положения и здоровья населения НИУ ВШЭ» (РМЭЗ НИУ ВШЭ) за 1992–2024 гг. В выпуске рассматриваются динамика доходов и расходов российских домохозяйств, тенденции развития рынка труда, социальное самочувствие ...
Added: October 5, 2026
Милицына П. С., Rozhkova K., Roshchin S. et al., Высшее образование в России 2026 № 8-9 С. 94–115
Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
Added: October 5, 2026
Автухова Е. Э., Larionov A., Плачинда К. Д., М.: Экономический факультет МГУ им. М.В. Ломоносова, 2026.
Данное методическое пособие разработано в соответствии с рабочей программой курса «Банковское дело», реализуемого на Экономическом факультете МГУ имени М. В. Ломоносова по специальности «Экономика» (бакалавриат), и может быть рекомендовано для подготовки к семинарским занятиям и самостоятельной работе студентов. ...
Added: October 4, 2026
Demidova O., Kazakova S., Applied Economics 2026 P. 1–14
This paper examines the nonlinear relationship between inflation and economic growth across Russian regions, contributing to the literature on the inflation-growth nexus by using subnational evidence from a large and economically heterogeneous country. Using panel data for 83 regions over the period 2015–2023, we estimate fixed-effects models with a quadratic specification of inflation. The growth-maximizing ...
Added: October 3, 2026
Tikhonova N. E., Karavay A., Социологическая наука и социальная практика 2026 Т. 14 № 3 С. 12–36
Drawing on data from the 2024 RLMS-HSE, the article shows that employmentrelated risks are increasingly being shifted onto workers in Russia, while employment differentiation already affects more than 40% of employed Russians, even without taking into account deviations from standard working hours, which are typical of most representatives of the mass social strata. Employment differentiation in Russia is characterized, ...
Added: October 2, 2026
Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109
Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...
Added: October 1, 2026
Пилюк Е. Р., Rozmainsky I. V., Журнал институциональных исследований 2026 Т. 18 № 3 С. 77–96
This paper analyzes the financial fragility оf cоmpanies in Saudi Arabia frоm 2012 tо 2025 based оn the Hyman Minsky’s financial instability hypоthesis and is the first attempt to apply this theory to a country dominated by Islamic banking. The authors test not only the relationship between the dynamics of financial fragility and the dynamics ...
Added: October 1, 2026
Klaro Ramires P. M., Veselova A., AlterEconomics (ранее - Журнал экономической теории) 2026 Т. 23 № 3 С. 699–718
As Russia transitions toward a green economy and reshapes its sustainable development agenda, understanding the external and internal factors influencing companies’ adoption of ESG principles is increasingly important. The study examines the relationships between external institutional pressure, internal organizational capabilities, and the effectiveness of corporate ESG practices. It focuses on external regulatory and non-regulatory mechanisms, ...
Added: October 1, 2026
Potanin B., Dolgikh S., Statistics and Probability Letters 2027 Article 110984
We derive bounds on the gradient and Hessian of the log-CDF, ln F(x), of the multivariate normal distribution. These bounds scale linearly and quadratically in ‖x‖ , respectively, with constants depending only on the covariance matrix. We demonstrate the usefulness of these bounds by proving asymptotic normality of the maximum-likelihood estimator of the multivariate probit ...
Added: October 1, 2026
Klochko O., Кузнецова М. П., Пространственная экономика 2026 Т. 22 № 3 С. 73–103
The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...
Added: October 1, 2026
Nikulina Y., Jamali Jaghdani T., Götz L. et al., / Series "Working Papers". 2026.
The impact of state subsidies on Russia's post-Soviet dairy output remains controversial; this study provides an empirical analysis of that relationship. Using an unbalanced panel dataset of 123 dairy enterprises in the Leningrad Region spanning the period from 2010 to 2023, we employ stochastic frontier analysis to assess these relationships. The results indicate that subsidies ...
Added: September 30, 2026
Nazarova A. G., Журнал Новой экономической ассоциации 2026 № 3(72) С. 87–104
The article explores how results of constructing aggregate national transfer accounts’ (NTA) estimates can be used for macroeconomic analysis and forecasts of current transfers in home economy. It presents the findings of the author’s study of their transfer modules over retrospective period of more than 10 years. The emphasis in the paper is focused on ...
Added: September 30, 2026
Kapeliushnikov R., / Высшая школа экономики. Серия WP3 "Проблемы рынка труда". 2026. № WP3/2026/02.
The paper is the first attempt in the Russian literature to assess returns to platform employment in the Russian labor market. The theory offers no clear predictions regarding its impact on workers’ earnings: there might be both a premium and a penalty. We distinguish three groups of workers: employees; self-employed using internet-platforms; self-employed not using ...
Added: September 28, 2026
Aleskerov F. T., Kosychev A., , in: Computational Science and Its Applications – ICCSA 2026 Workshops* 9.: Springer, 2027. P. 384–392.
We adapt the Life Cycle (LC) curve methodology to the problem of statistical anomaly detection in time series. LC-curves transform a raw non-negative time series into a cumulative share profile that highlights when, within a fixed observation window, most of the signal intensity is concentrated. Deviations of this profile from the uniform-accumulation baseline serve as ...
Added: July 8, 2026
Karpukhin I., Savchenko A., , in: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI-26: AAAI Technical Track on Planning, Routing, and Scheduling; AAAI Technical Track on Reasoning under Uncertainty; AAAI Technical Track on Search and Optimization. Main Track, volume 40 no. 43.: American Association for Artificial Intelligence (AAAI) Press, 2026. P. 22536–22544.
Long-horizon events forecasting is a crucial task across various domains, including retail, finance, healthcare, and social networks. Traditional models for event sequences often extend to forecasting on a horizon using an autoregressive (recursive) multi-step strategy, which has limited effectiveness due to typical convergence to constant or repetitive outputs. To address this limitation, we introduce DEF, a novel approach for simultaneous forecasting of ...
Added: June 17, 2026
Karacharovskiy V., Ларина У. С., Резмерица А. А., Социологические исследования 2026 № 7 С. 60–75
Based on the neural network approach, the decomposition of the index of social mood in Russia for the period 2004-2024 was carried out and their dynamics for this period was modeled. The following issues are discussed: (a) the nature of the social mood' shocks in Russia, based on their connection with the concepts of politics ...
Added: May 14, 2026
Neznanov A., Glushko A., Овчинников С. et al., В кн.: Интеллектуальный анализ данных в нефтегазовой отрасли.: М.: ООО «Геомодель Развитие», 2024. С. 140–143.
With the development of monitoring systems, now we have the opportunity to collect key performance indicators of devices in the process of artificial lift. Every day a huge amount of telemetry is generated by our devices, which can be used to forecast the working mode and health state of the equipment after the process of ...
Added: April 29, 2026
Ankudinov I., Социология: методология, методы, математическое моделирование 2025 № 61 С. 165–203
The changing political mood of Russians is a constant subject of interest for sociological agencies. With the development of the Internet, conventional questionnaire research began to be supplemented by online surveys and, despite some skepticism, by social media mining. This article attempts to adjust an accidental web-sample so as to bring its estimates closer to ...
Added: April 22, 2026
Hushchyn M., Arzymatov K., Derkach D., Machine Learning 2026 Vol. 115 Article 56
Moments when a time series changes its behavior are called change points. Occurrence of change point implies that the state of the system is altered and its timely detection might help to prevent unwanted consequences. In this paper, we present two change-point detection approaches based on neural networks and online learning. These algorithms demonstrate linear ...
Added: March 6, 2026
Ivanov S., Borisov V., Ali S. et al., , in: 2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE).: IEEE, 2025. Ch. 127 P. 1–7.
This paper investigates the problem of detecting slow refrigerant leaks in a data center cooling system using a graph neural network. The study addresses the challenge of early fault identification, proposing a method for constructing a topological graph based on the engineering diagram, the physical layout, and the cause-and-effect relationships in the cooling system. This ...
Added: December 19, 2025
Ivanov P., Shtark M., Kozhevnikov A. et al., IEEE Access 2025 Vol. 13 P. 25186–25197
Fault detection and diagnosis (FDD) is a critical challenge in industrial processes aimed at minimizing risks such as safety hazards, costly downtime, and suboptimal production. Traditional supervised FDD methods offer great performance while heavily relying on large volumes of labeled data, whereas unsupervised methods do not depend on labeled data, though are inferior in performance ...
Added: April 29, 2025