Publications

This paper analyses the link between the efficiency of regional higher education systems and the rates of regional economic development between 2012 and 2015 in Russia. The efficiency scores are calculated at the institutional level using Two-stage Semi-parametric data envelopment analysis. Then, the scores are aggregated at the regional level. We formulate an economic growth model that considers the efficiency of regional higher education systems as one of the explanatory variables. As an econometric method, we employ a robust GMM estimator. The findings highlight a positive, and statistically significant effect of higher education institutions efficiency on the regional economic growth. We also found negative spillover effects.

In this paper, we consider the distribution of the supremum of non-stationary Gaussian processes, and present a new theoretical result on the asymptotic behaviour of this distribution. Unlike previously known facts in this field, our main theorem yields the asymptotic representation of the cor- responding distribution function with exponentially decaying remainder term. This result can be efficiently used for studying the projection density estimates, based, for instance, on Legendre polynomials. More precisely, we construct the sequence of accompanying laws, which approximates the distribution of maxi- mal deviation of the considered estimates with polynomial rate. Moreover, we construct the confidence bands for densities, which are honest at polynomial rate to a broad class of densities.

This article studies the expected occupancy probabilities on an alphabet. Unlike the standard situation, where observations are assumed to be independent and identically distributed (iid), we assume that they follow a regime switching Markov chain. For this model, we 1) give finite sample bounds on the occupancy probabilities, and 2) provide detailed asymptotics in the case where the underlying distribution is regularly varying. We find that, in the regularly varying case, the finite sample bounds are rate optimal and have, up to a constant, the same rate of decay as the asymptotic result.

This study seeks to explore the incentive factors that serve to instigate university engagement in the third-mission agenda based on evidence drawn from the Russian system of higher education. We pay special attention to how the split of natural and externally induced drivers of the third mission has changed from the Soviet era and up until the immediate modernity. Our analysis has shown that the balance of these two types of incentives never remained flat over the course of history as the Russian university system encountered and had to address different challenges and imperatives at various points in time. We have also found that, while federal initiatives have been adopted by the Russian state that have created a distinctive cohort of universities entrusted with comprehensively contributing to the socio-economic and innovative potential of their host localities as a top-priority task, the third-mission agenda is by no means reduced solely to this very group of institutions, as there are many other universities that are not directly expected to focus on the third mission, but which still favor pursuing proactive and fruitful collaborations with regional stakeholders as arguably representing one of the crucial factors in long-term university sustainability.

Typically, training in Russia for professionals includes school, university, and postgraduate education. People make their choice regarding university or job after school, and they choose jobs after university. These are very sensitive matters. Help in making the right choice is a real asset. The Russian Association of Statisticians (RASt) is an independent, non-profit organisation that does not provide statistical education as a university and does not collect and process data as a statistical institution. But RASt helps students, universities, and producers of statistical data find each other. The paper describes the activities of RASt which organises the school competition in statistics called “Trend” to support students in choosing a profession and the kick-off competition “Career” for university students to help them get to know their employers. The organisers of the competition for school children usually face a number of problems related to the young age of participants and to limited funding. If we are talking about such a country as huge as Russia, the problems increase. To solve these problems, organisers use a combination of competition of presentations about original statistical researches provided by school teams in regions and an online quiz on statistical topics at the final stage. Technologically, the entire process is supported by ROSSTAT with its IT network. The organisers hope that the competition will make the profession of statistician more popular in Russia and attract more students to statistical programmes in universities.

The relevance of the chosen topic is closely related to the course of the demographic policy of the state until 2024 to increase life expectancy and reduce the poverty level of the population. World experience shows that climatic conditions, living conditions, the quality of food and drinking water, alcohol consumption are important components of public health and life expectancy in general. Despite the positive dynamics of life expectancy over the past decade, Russia still has a huge regional differentiation (16,6 years for women, 18,2 years for men in 2016) and an average gender gap in Russia - 10 ,6 years. The paper examines the problems of regional differentiation of life expectancy at birth with consideration of gender specifics in the context of the lifestyle and living conditions of the population.

According to Rosstat 2016, a typology of the regions on the life expectancy of men and women by the K-means method into 3 clusters was carried out, similar problems of the regions were identified in terms of alcohol consumption, quality of food and drinking water, living conditions. The regions of the 1st cluster (Yevreyskayaavtonomnaya oblast, RespublikaTyva, Chukotskiyavtonomnyyokrug) require special attention. There are the lowest rates of life expectancy for men and women, poor food quality, high alcohol consumption, high mortality rates from external causes, poor housing conditions and poor quality of drinking water.

On the basis of the obtained results, possible reserves for reducing the gender and regional differentiation of life expectancy were analyzed. The analysis performed and the methodology used will contribute to the development of a system for monitoring the implementation of the May presidential decrees (2018) in order to increase life expectancy and improve the quality of life of the population.

The residential real estate market has a special place in the country's economy. Given the scale and dynamism of the development of this market in Russia, research topics in this area are very extensive and relevant. On the one hand, the development of the residential real estate market involves improving the living standards of the population. On the other hand, players in various markets participate in the housing construction industry, since significant volumes of financial flows are concentrated here.

In the article, the authors provide brief results of a study of the residential real estate market in Russia and Moscow. For a more detailed study, the authors chose the market for new buildings in Moscow, as the most dynamically developing segment of real estate. The dynamics and nature of the measurements of the main indicators of the capital market of primary real estate is explained, first of all, by the legislative changes that have occurred in the construction and banking sectors.

Given the heterogeneous development of the capital market, the authors applied the clustering of districts using the results of comprehensive studies of the primary real estate market of previous years. The article presents the main results of key research in the field of residential real estate. For the study, four groups of factors were identified: the characteristics of the apartment, indicators of transport accessibility, the level of infrastructure development and the state of the environment. The information source was the database of leading real estate companies: CIAN, Metrium, Domofond as of the end of May 2019. As a result of a preliminary analysis of the data, new buildings of the mass segment (economy and class comfort) were identified.

Using typological regression, the authors constructed models of the dependence of the cost per square meter of residential real estate on the market of new buildings in Moscow on a number of factors, the most significant of them were identified. The results of the study presented in the article may be of interest to consulting companies, real estate agencies, employees of the banking sector, as well as local authorities for strategic planning of the development of the real estate market.

This work contains an express answer to four questions about what happened in the higher education system at the very beginning of the introduction of quarantine measures: (1) how have universities and the states reacted worldwide? (2) what are the reaction of Russian universities? (3) how do students and teachers perceive the situation? (4) Is there enough infrastructure to implement quarantine measures of remote work and training? Most of the analytics were collected on an initiative basis, but the most important sections were written on the basis of data collected within the working group of the Russian Ministry of Education and Science to organize educational activities in the context of preventing the spread of COVID-19 infection in the Russian Federation under the leadership of the Department of Youth Policy (in terms of sociological student survey) and the Department of Information Technology in the field of science and higher education (in terms of monitoring infrastructure and opportunities Translation courses in distance learning). Data collection and analysis would not have been possible without cooperation with MIREA, as well as representatives of ITMO University, Ural Federal University, Tomsk State University and support from Mail.ru Group and the Association of Volunteer Centers.

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In this note, we consider the construction of a one-dimensional stable Langevin type process confined in the upper half-plane and submitted to diffusive-reflective boundary conditions whenever the particle position hits 0. We show that two main different regimes appear according to the values of the chosen parameters. We then use this study to construct the law of a (free) stable Langevin process conditioned to stay positive, thus extending earlier works on integrated Brownian motion. This construction further allows to obtain the exact asymptotics of the persistence probability of the integrated stable Lévy process. In addition, the paper is concluded by solving the associated trace problem in the symmetric case.

Purpose: The article is focused on new trends in cooperation activity in research and development in the manufacturing industries of Russia. Various types of cooperation are considered, special attention is paid to research organizations and universities. Design/Methodology/Approach: In the context of this issue, it seems necessary to consider the conceptual framework and information basis for the analysis of scientific activity, to study the problems of scientific and technical cooperation, based on the works of foreign and domestic scientists and to develop indicators of cooperative activities. Finding: Authors proposed to rank the regions of Russia by the level of cooperation activity based on a specially developed hidden indicator. Comparison of the results obtained with regional layers of the costs of R&D suggests that joint research and development activities are typical for those regions that pay considerable attention to development of science. Ranking regions of Russia in terms of cooperative activity allowed identifying the leaders and outsiders of this process. Practical implications: The results of the study can be used in the development of measures of regional development of the country in the implementation of R&D. Originality/Value: To study the impact of the resource base on the cooperative activities of the organization, the authors proposed a composite indicator that includes a wide range of indicators that consider various aspects of cooperative activity.

This paper presents the first continuous-time model to feature a flexible dependence structure among jump intensity, stock variance, and stock returns. In particular, it addresses a gap in the financial portfolio optimization literature concerning the non-trivial correlation between stock return variance and the intensity of price jumps. The model permits closed-form representations for the optimal strategy and value functions in an expected utility theory setting. It also produces analytical expressions for the value function associated with relevant suboptimal strategies. Such an analytical setting allows for the first wealth-equivalent utility loss (WEL) analysis of the pitfalls of ignoring the aforementioned dependence. The model and results can be easily extended to the pair intensity-covariance in multi-assets. The WEL analysis is carried out for three different suboptimal classes: tailor-made incomplete markets, misspecifications in the parameters of the model, and time-independent (myopic) strategies. For the numerical section, we focus on the correlation between jump intensity and stock variance, which is assumed to be either zero or one in the existing literature. We demonstrate that simplistic assumptions like perfect dependence or independence could lead to wealth-equivalent losses of up to 61%. Similarly, a failure to hedge these variances and intensity drivers could cause losses of up to 95% (in particular, up to 60% due to the factors driving the dependence).

In the last decade, the role of corporate integration in the system of economic relations has increased significantly. Mergers and acquisitions are largely macroeconomic indicators of the effective functioning of branches of the Russian economy. The economic tools proposed in the article for classifying branches of the Russian economy by the level of integration activity in 2014 and 2016 allowed to quantify the sectoral differences and highlight the class of integration-active sectors of the Russian economy.

The article examines the literature, which determinates the factors affecting Gross Regional Product as well as broadens the analysis to different regions of the Russian Federation. The regressions modeling and cluster analysis is used for the issue. Two linear regression models are constructed based on the indicators of the Federal Statistics Survey databases for the year 2015 as well as the index of readiness of regions of Russia for the information society (ICT) is used. After the estimation the two clusters based on the values of sub-indexes were found, presenting the typical and atypical behavior towards values of sub-indexes.

The problem of impreciseness of data from different sources is in the focus of the research. While values of income based on diary notes may be considered as relatively exact measuring results, the values of income in other surveys founded on memory of respondents are rather ambiguous. The ambiguity reveals itself first of all in the tendency of rounding numbers. The usage of rounded values for identification of statistical and econometric models can make the estimates of the parameters biased. To prevent this effect, we propose using survey data in fuzzy format and show the way to estimate the measure of fuzziness. The main idea behind this estimation is in finding such measure of ambiguity (fuzziness) that provides the closest distribution of fuzzy data to the distribution of corresponding exact (crisp) data. As a source of crisp data, we use the household budget survey provided by the Federal State Statistics Service, and the Russian Longitudinal Monitoring Survey RLMS HSE supplies us with fuzzy data for corresponding period of time. It is shown that the algorithm presented in the paper allows us to improve data to a good level of conformity.

А high excursion probability for the modulus of a Gaussian vector process with independent identically distributed components is evaluated. It is assumed that the components have means zero and variances reaching its absolute maximum at a single point of the considered time interval. An important example of such processes is the Bessel process.

In this paper, we guarantee the existence and uniqueness (in the almost everywhere sense) of the solution to a Hamilton-Jacobi-Bellman (HJB) equation with gradient constraint and a partial integro-di erential operator whose Levy measure has bounded variation. This type of equation arises in a singular control problem, where the state process is a multidimensional jump-di usion with jumps of finite variation and infinite activity. We verify, by means of "-penalized controls, that the value function associated with this problem satis es the aforementioned HJB equation.