Оценка уровня адаптации специалистов к условиям трансформирующегося общества
The author focuses her attention on the analysis of the general and the particular in the adaptation of specialists on the basis of the data collected in Russia by the NRI HSE in the course of monitoring the population’s economic situation and health (RLMS-HSE), comprising a vast body of classified information on the changes in the conditions and quality of life of the Russian people.
We present a complex analysis of business models for large, medium and small Russian commercial banks from 2006 to 2009. The Russian banks are grouped based on homogeneity criteria of their financial and operational outcomes. The banks’ structure of assets and liabilities, profitability and liquidity ratio are taken into account. The results show how the banks are adjusted their business models before and after the financial turmoil taken place in 2008. In addition, the prevailing banking business models observed for the leading banks in Russia are defined. The banks often changing their business models are found and analyzed.
This paper is devoted to the rational behavior in the sense of the educational level choice. The theoretical model is based on the discounted flow of personal’s utility function covered the period of the education and future work. Maximizing the flow under the budget constraint we received differential equation included the rate of income grow after the acquisition of education. The solution is the Mincerian type equation. The main result of the model is that the persons with rapid growth of their earnings profile should have the smaller slope coefficients of schooling in the earnings equation. The empirical part of the research is based on the Russian Longitudinal Monitoring Survey (RLMS) data set. The theoretical results have been confirmed by the regression analysis. Splitting the RLMS sample according to the respondents’ wage profiles we received that highly educated agents unlike the unskilled workers have higher income but slighter slope earnings profiles. It means that the workers expected the high growth of their incomes after the schooling are less inclined to receive higher level of education. Otherwise the persons who expected high income on the job start justify their hopes, but come across the low growth of the incomes.
The chapter is concerned with questions of civic values and civic identity as they are experienced by Russian people in the context of political-economic transformations of the last years, and especially during global economic crisis 2008-2010. Empirical findings from Russian Public Opinion Research Centre, Levada-Centre, Edelman Trust Barometer surveys are used to outline how tensions, distrust and civic irresponsibility expressed by respondents in the context of financial instability may amplify understandings of ‘citizenship’ and ‘civic identity’. There are several trends characterizing citizenship and civic identity in modern Russian society. The first is transformation of the common sense of ‘we-ness’ in case of individualism’s growth and increasing reduction of trust to economic, political and low institutions. The second is the problem of new values formation: while the ‘official’ political discourse admits more and more inclusive patriotic ideologies, ‘everyday-life’ and ‘network’ discourses develop estimative and ironical judgments of the official discourse. The third is citizens’ emigration intentions and the ‘status of citizenship’ characterizing self-perception of people as ‘citizens’ in relation to ‘non-citizens’, which is particular relevant to labour migration problem.
Data Correcting Algorithms in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems.
In this paper the public-private wage gap is estimated by means both of the OLS and the quantile regression, which will provide a more complex picture of the distribution of the public-private sector wage gap. The author finds the existence of significant public-private wage gap (about 30%) considering both observable and unobservable characteristics of workers and jobs. Using the decomposition based on quantile regression helps to answer the question about the nature of the wage differences. The author comes to the conclusion that the main reason for the gap is the institutional mechanisms of public sector wages in Russia. The analysis is based on the data from Russian Longitudinal Monitoring Survey (RLMS-HSE) 2000-2010.
The author tried to avoid the usual perception of informality and informal practices in migration sphere in Russia. This article, by analyzing the migration sphere in Russia using the approach of T. Zaslavskaya about three levels of the social actions of social actors (micro-, meso -, and macro-levels), showed that migrants in Russia can operate only at the micro level. Therefore, “informality” is a result of actions taken by the actors who operate at the macro - and meso-level
This paper presents a pattern behavioral analysis of 100 largest Russian commercial banks by total assets during an eight- year period: from the first quarter of 1999 to the second quarter of 2007. Bank performance indicators are analyzed. Structural similarities in the development of the banks are examined. A cluster analysis is applied to determine banks with a similar structure of operations. This analysis allows to estimate how the structure of the Russian banking system has been changing over time. In particular, it allows to identify prevailing patterns in the behavior of Russian commercial banks and to analyze the stability of their position in a particular pattern.
How seriously does the degree of trust in basic social and political institutions for people from different countries depend on their individual characteristics? To answer this question, three types of models have been estimated using the data of the fifth wave of the World Value Survey: the first one based on the assumption about a generalized relationship for all countries, the second one taking into account heterogeneity of countries (using introduction of the country-level variables), the third type applying a preliminary subdivision of countries into five clusters. The obtained results have been used for suggestion of possible actions to increase public confidence in the basic institutions.