Full metadata record
DC FieldValueLanguage
dc.date2016
dc.date.accessioned2025-08-22T12:17:47Z-
dc.date.available2025-08-22T12:17:47Z-
dc.date.issued2016
dc.identifier.identifierDspace\SGAU\20161214\60845
dc.identifier.citationМатериалы Международной конференции и молодёжной школы «Информационные технологии и нанотехнологии», с. 789-792
dc.identifier.isbn978-5-7883-1078-7
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/13684-
dc.description.abstractThis paper would provide a short-term measuring model of GDP on the basis of current macroeconomic statistics. At the considered model vectors are built separately for each of three group indexes of the word markets and outer-economic activity; indexes of a real sector. By using this model one can receive measures of GDP for previous and current quartiles, which provides information about dynamics of economic release, additionally to measures of different models and experts’ claims. Moreover, model enables to perform decomposition of quartile paces of GDP increase of different factors. At this work we will look through the method and its implementation in Russian economy.
dc.languagerus
dc.publisherИздательство СГАУ
dc.titleShort-term analysis of gross domestic product
dc.typeArticle
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Shortterm-analysis-of-gross-domestic-product-60845
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Shortterm-analysis-of-gross-domestic-product-60845
Appears in Collections:Информационные технологии и нанотехнологии

Files in This Item:
File Description SizeFormat 
789-792.pdfОсновная статья372.92 kBAdobe PDFView/Open


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.