Predictive age-groups modeling in a long-term perspective

dc.contributor.author	Gabdrakhmanov N.
dc.contributor.author	Rubtzov V.
dc.contributor.author	Isayeva Y.
dc.contributor.author	Egorov D.
dc.contributor.author	Nagimova A.
dc.date.accessioned	2018-09-19T22:57:07Z
dc.date.available	2018-09-19T22:57:07Z
dc.date.issued	2016
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/145815
dc.description.abstract	© 2016 Taylor & Francis Group, London.In the current period, the demographic development of the Republic of Tatarstan is a very topical problem in calculating the rate of population growth, forecasting its size, and composition. Currently, the number of people planning specific age groups in the preparation of the federal and regional budgets is based on data analysis of state statistical reports on the number and mortality. However, the method of advancing age in our opinion is more accurate, allowing arguments to plan and predict future demographic situation. In this paper, this method is used to predict the number of pensioners in the Republic of Tatarstan.
dc.title	Predictive age-groups modeling in a long-term perspective
dc.type	Conference Paper
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	145
dc.source.id	SCOPUS-2016-SID85018683024

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.