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  • 标题:Analysis and Forecast of the Gross Domestic Product in Romania Using Econometric Methods
  • 本地全文:下载
  • 作者:Necșulescu Consuela ; Șerbănescu Luminița
  • 期刊名称:Ovidius University Annals: Economic Sciences Series
  • 电子版ISSN:2393-3127
  • 出版年度:2014
  • 卷号:14
  • 期号:1
  • 语种:English
  • 出版社:Ovidius University Press
  • 摘要:In this article I made an analysis of the evolution and forecast of one of the most important indicators of the System of National Accounts,i.e. the Gross Internal Product,and of the correlation between it and the elements underlying its formation. For the analysis of the correlation between the GDP and its influencing factors I used econometric monofactorial and linear and reverse regression models. In the analysis of the factors determining the Gross Domestic Product,I started from the expenditure method and the production method. I also used dynamics methods in order to determine the trend based on which I set the forecast both for the GDP for the items composing it.
  • 关键词:Gross Domestic Product;regression model;forecast;OLS;trend
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