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Oleg Leshukov - One of the best experts on this subject based on the ideXlab platform.
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interregional migration of youths in russia a comprehensive analysis of Demographic Statistics
Social Science Research Network, 2016Co-Authors: Ilya Kashnitsky, Nikita Mkrtchyan, Oleg LeshukovAbstract:Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17–21) using three sources of Demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003–2010 and 2011–2013. The reason for sampling these two periods is because there was a significant change in the migration Statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrollments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrollment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.
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interregional migration of youths in russia a comprehensive analysis of Demographic Statistics
Educational Studies, 2016Co-Authors: Ilya Kashnitsky, Nikita Mkrtchyan, Oleg LeshukovAbstract:Ilya Kashnitskiy - Junior Research Fellow, Institute for Social Policy, National Research University Higher School of Economics; PhD Candidate, University of Groningen / Netherlands Interdisciplinary Demographic Institute. E-mail: ilya.kashnitsky@gmail.com Nikita Mkrtchyan - Candidate of Sciences in Geography, Leading Research Fellow, Center for Demographical Studies, Institute of Demography, National Research University Higher School of Economics. E-mail: Mkrtchan2002@rambler.ru Oleg Leshukov - Junior Research Fellow, Institute of Education, National Research University Higher School of Economics. E-mail: oleshukov@hse.ru Address: 20 Myasnitskaya str., 101000 Moscow, Russian Federation Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17-21) using three sources of Demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003-2010 and 2011-2013. The reason for sampling these two periods is because there was a significant change in the migration Statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrolments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrolment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.
Charles Stewart - One of the best experts on this subject based on the ideXlab platform.
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how valid are voter registration Statistics a Demographic approach for assessing the validity of eavs voter registration data
Social Science Research Network, 2019Co-Authors: Charles StewartAbstract:This paper explores the test validity of items in the Election Administration and Voting Survey (EAVS) that pertain to voter registration and voter-list maintenance. The method that is developed relies on testing the correspondence between EAVS items and related Demographic Statistics that should be the main drivers of the reported administrative Statistics. (For instance, the number of removals from the voter rolls due to death that a county reports should track closely with the number of adult deaths in the county for the same period.) This approach finds a close correspondence with underlying Demographics for two items: total new registrations and removals because of death. The approach finds much lower correspondence between list-maintenance Statistics and corresponding Demographic measures, especially items related to the removal of voters from the rolls because they moved. The approach also finds lack of correspondence between the number of pre-registered young people and the population of young people in a county. Lack of high correlations between certain EAVS items and their associated Demographic factors can be due to a number of factors, including differences in recordkeeping and policy implementation, but also raise the question of whether EAVS items reflect a uniformity of data reporting across the country.
Nikita Mkrtchyan - One of the best experts on this subject based on the ideXlab platform.
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interregional migration of youths in russia a comprehensive analysis of Demographic Statistics
Social Science Research Network, 2016Co-Authors: Ilya Kashnitsky, Nikita Mkrtchyan, Oleg LeshukovAbstract:Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17–21) using three sources of Demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003–2010 and 2011–2013. The reason for sampling these two periods is because there was a significant change in the migration Statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrollments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrollment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.
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interregional migration of youths in russia a comprehensive analysis of Demographic Statistics
Educational Studies, 2016Co-Authors: Ilya Kashnitsky, Nikita Mkrtchyan, Oleg LeshukovAbstract:Ilya Kashnitskiy - Junior Research Fellow, Institute for Social Policy, National Research University Higher School of Economics; PhD Candidate, University of Groningen / Netherlands Interdisciplinary Demographic Institute. E-mail: ilya.kashnitsky@gmail.com Nikita Mkrtchyan - Candidate of Sciences in Geography, Leading Research Fellow, Center for Demographical Studies, Institute of Demography, National Research University Higher School of Economics. E-mail: Mkrtchan2002@rambler.ru Oleg Leshukov - Junior Research Fellow, Institute of Education, National Research University Higher School of Economics. E-mail: oleshukov@hse.ru Address: 20 Myasnitskaya str., 101000 Moscow, Russian Federation Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17-21) using three sources of Demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003-2010 and 2011-2013. The reason for sampling these two periods is because there was a significant change in the migration Statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrolments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrolment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.
Ilya Kashnitsky - One of the best experts on this subject based on the ideXlab platform.
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interregional migration of youths in russia a comprehensive analysis of Demographic Statistics
Social Science Research Network, 2016Co-Authors: Ilya Kashnitsky, Nikita Mkrtchyan, Oleg LeshukovAbstract:Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17–21) using three sources of Demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003–2010 and 2011–2013. The reason for sampling these two periods is because there was a significant change in the migration Statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrollments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrollment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.
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interregional migration of youths in russia a comprehensive analysis of Demographic Statistics
Educational Studies, 2016Co-Authors: Ilya Kashnitsky, Nikita Mkrtchyan, Oleg LeshukovAbstract:Ilya Kashnitskiy - Junior Research Fellow, Institute for Social Policy, National Research University Higher School of Economics; PhD Candidate, University of Groningen / Netherlands Interdisciplinary Demographic Institute. E-mail: ilya.kashnitsky@gmail.com Nikita Mkrtchyan - Candidate of Sciences in Geography, Leading Research Fellow, Center for Demographical Studies, Institute of Demography, National Research University Higher School of Economics. E-mail: Mkrtchan2002@rambler.ru Oleg Leshukov - Junior Research Fellow, Institute of Education, National Research University Higher School of Economics. E-mail: oleshukov@hse.ru Address: 20 Myasnitskaya str., 101000 Moscow, Russian Federation Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17-21) using three sources of Demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003-2010 and 2011-2013. The reason for sampling these two periods is because there was a significant change in the migration Statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrolments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrolment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.
A Mitsipa - One of the best experts on this subject based on the ideXlab platform.
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comparative life table Statistics of exochomus flaviventris reared on the cassava mealybug phenacoccus manihoti fed on four host plants
International Journal of Tropical Insect Science, 2002Co-Authors: B Le R Ru, A MitsipaAbstract:The Demographic Statistics of the ladybird Exochomus flaviventris Mader (Coleoptera: Coccinellidae) were investigated under laboratory conditions on the cassava mealybug, Phenacoccus manihoti Matile-Ferrero (Homoptera: Pseudococcidae), reared on four host plants with different levels of antibiotic resistance to the mealybug: two cassava (Manihot esculenta Crantz, Euphorbiaceae) varieties, Incoza and Zanaga, Faux-Caoutchouc (FC) (hybrid of M. esculenta × M. glaziovii Muel. Arg.) and water weed (Talinum triangulare Jack, Portulacacae). Preimaginal mortality, mean oviposition time and total fecundity of female ladybirds were strongly affected by the host plant even though there was no linkage with antibiotic resistance. The net reproduction rates RQ of the predator were 1.5, 1.7 and 2.4 times higher on Zanaga than on water weed, Incoza and FC respectively, and the generation time (T) was significantly longer on Zanaga than on the other three plants. The intrinsic rate of increase rm was not modified by the antibiotic resistance of the host plants. With the two cassava varieties, Incoza and Zanaga, it was found that antibiosis significantly affected the life history parameters of the ladybird without modifying its fitness, and provided better cassava mealybug control.
