{"title":"俄罗斯联邦失业率的形成Мathematical模型","authors":"N. Antipina, Marina Seliverstova","doi":"10.17150/2713-1734.2021.3(4).243-249","DOIUrl":null,"url":null,"abstract":"The research analyzed the unemployment rate in the Russian Federation using economic and mathematical modeling. The оbject of the research is the dynamics of the unemployment rate in the Russian Federation in the period from 2005 to 2020, depending on some factors that make an impact on the factor under consideration. As a result of this investigation, carried out using the multiple regression method, a linear regression model was obtained, which can be employed for further analysis and forecasting of the unemployment rate in Russia.","PeriodicalId":389652,"journal":{"name":"System Analysis & Mathematical Modeling","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Formation a Мathematical Modeling of Unemployment Rate in Russian Federation\",\"authors\":\"N. Antipina, Marina Seliverstova\",\"doi\":\"10.17150/2713-1734.2021.3(4).243-249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research analyzed the unemployment rate in the Russian Federation using economic and mathematical modeling. The оbject of the research is the dynamics of the unemployment rate in the Russian Federation in the period from 2005 to 2020, depending on some factors that make an impact on the factor under consideration. As a result of this investigation, carried out using the multiple regression method, a linear regression model was obtained, which can be employed for further analysis and forecasting of the unemployment rate in Russia.\",\"PeriodicalId\":389652,\"journal\":{\"name\":\"System Analysis & Mathematical Modeling\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"System Analysis & Mathematical Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17150/2713-1734.2021.3(4).243-249\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"System Analysis & Mathematical Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17150/2713-1734.2021.3(4).243-249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Formation a Мathematical Modeling of Unemployment Rate in Russian Federation
The research analyzed the unemployment rate in the Russian Federation using economic and mathematical modeling. The оbject of the research is the dynamics of the unemployment rate in the Russian Federation in the period from 2005 to 2020, depending on some factors that make an impact on the factor under consideration. As a result of this investigation, carried out using the multiple regression method, a linear regression model was obtained, which can be employed for further analysis and forecasting of the unemployment rate in Russia.