Российский мониторинг экономического положения и здоровья населения как источник данных о смертности:возможности и ограничения
The Russian Longitudinal Monitoring Survey (RLMS) was initially created by the G-7 countries in 1992 as a way to obtain objective nationally representative data on the social, health and economic situation in Russia. It was established to mirror a multipurpose survey—the China Health and Nutrition Survey—and provide in-depth reliable raw data on Russia, accessible for the first time to both Russian and global scholars and institutions. This was instituted in the period following January 1992, when the Russian Federation introduced a series of sweeping economic reforms, including eliminating most food and reducing fuel and other subsidies, using freely fluctuating market prices, privatizing many state enterprises and working to create a growing private sector with private land ownership.
The aim of this work is to compare shifts in the consumer behaviour of Russian households since the mid-nineties till nowadays. The research considers the consumer behaviour of the Russians over almost the maximum possible available data RLMS period, focusing on the crisis years. Special attention is paid to analysis of the effects of crises in 1998 and 2008. To reveal effects as shifts in consumer behaviour in the aftermath of two crises panel data analysis is used to estimate QAIDS model. Due to the complete sample attrition observed in RLMS dataset since 1994, pseudo-panel approach is used.
The paper observes the main patterns of youth consumption and leisure in contemporary Russia. It relies on the Russian Longitudinal Monitoring Survey of HSE, a set of nationally representative household-based surveys which includes data collected from 1994 to 2013. The data shows that by 2010 the level of youth consumption has risen along with the households’ overall income and expenditure. The alleviation of financial problems prompted the redistribution of time between work and leisure, so youth turned to the active cultural consumption, including non-entertainment services. However, the total increase in products and services consumed went hand in hand with the rise of differentiation in the availability of durables, patterns of consumption and leisure practices.
In this paper we propose and implement a mechanism of modeling the price indices of food purchases by income groups of households. These indices could be interpreted as differentiated by income food inflation. This approach is based on the differences in prices of purchases for the income groups within each year. We provide the calculations of these indices for the RLMS data and Households Budget Survey conducted by Rosstat (HBS). We discuss possible modifications of the proposed procedure for goals of forecasting of inflation differentiated by income groups. In the result of the comparison with direct calculation of inflation separately for each income group we conclude that the proposed in the paper approach has several advantages, including lower requirements of amount of incoming information.
The paper observes the main patterns of youth consumption and leisure in contemporary Russia. It relies on the Russian Longitudinal Monitoring Survey of HSE, a set of nationally representative household-based surveys which includes data collected from 1994 to 2013. The data shows that by 2010 the level of youth consumption has risen along with the households’ overall income and expenditure. Since financial problems were alleviated, there was a redistribution of time between work and leisure, so youth turned to the active cultural consumption, including non-entertainment services. However, the total increase in products and services consumed went hand in hand with the rise of differentiation in the availability of durables, patterns of consumption and leisure practices.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.