Наследие империй и будущее России
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.
Migration is a powerful driver and important consequence of economic, political and social change. Because of its great impact on societies, migration needs to be adequately measured and understood. Reliable statistical data is the key to the basic understanding of this important phenomenon. Yet, in many countries, even the most general statistics on migration are incomplete, out-of-date or do not exist. Improvement in this area requires knowledge of the principles of collecting, compiling and analyzing migration statistics. Likewise, policymakers and other users need to be aware of the definitions and measurement issues related to the data to be able to interpret them. The present guide was prepared under the responsibility of the United Nations Economic Commission for Europe in the framework of the project “Strengthening national capacities to deal with international migration: maximizing development benefits and minimizing negative impacts”. The project involved all five regional commissions of the United Nations and was financed from the United Nations Development Account. The guide is intended for practitioners and professionals whose work is related to migration and migration statistics. It focuses on the specific context of migration processes in Eastern Europe and Central Asia. We expect that the practical examples and international recommendations presented herein stimulate interest and improve understanding and facilitate production, dissemination and use of statistics on international migration.
The report provides a review of sources and quality of statistics on international migration in selected countries of the Commonwealth of Independent States (CIS): Azerbaijan, Kazakhstan, Kyrgyzstan, the Russian Federation and Tajikistan. The report was prepared under the responsibility of the United Nations Economic Commission for Europe in the framework the project “Strengthening national capacities to deal with international migration: maximizing development benefits and minimizing negative impacts”.
The article is based on the results of the survey of migrant workers from Central Asia in Moscow and Moscow region. One of the key issues of the study was the degree of adaptation of migrants to life in the capital. The article discusses the issue both from the point of view of experts on labor migration and of the migrants themselves.
The results of cross-cultural research of implicit theories of innovativeness among students and teachers, representatives of three ethnocultural groups: Russians, the people of the North Caucasus (Chechens and Ingushs) and Tuvinians (N=804) are presented. Intergroup differences in implicit theories of innovativeness are revealed: the ‘individual’ theories of innovativeness prevail among Russians and among the students, the ‘social’ theories of innovativeness are more expressed among respondents from the North Caucasus, Tuva and among the teachers. Using the structural equations modeling the universal model of values impact on implicit theories of innovativeness and attitudes towards innovations is constructed. Values of the Openness to changes and individual theories of innovativeness promote the positive relation to innovations. Results of research have shown that implicit theories of innovativeness differ in different cultures, and values make different impact on the attitudes towards innovations and innovative experience in different cultures.