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  • 标题:Econometric Modeling of GDP Time Series
  • 本地全文:下载
  • 作者:Andrei, Elena-Adriana ; Bugudui, Elena
  • 期刊名称:Theoretical and Applied Economics
  • 印刷版ISSN:1841-8678
  • 电子版ISSN:1844-0029
  • 出版年度:2011
  • 卷号:XVIII(2011)
  • 期号:10(563)
  • 页码:91-98
  • 出版社:Asociatia Generala a Economistilor din Romania - AGER
  • 摘要:Article aims of time series econometric model of macroeconomic variable GDP in the US economy. Because that is a nonstationary time series, there are used several statistical tests in order to turn into a stationary series. After applying these tests, the time series became stationary and integrated of order I; thus, we use Box-Jenkins procedure for the determination of ARMA. We estimate by OLS the parameters of various models. Performances chosen ARIMA model (1,1,1) are verified on the basis of classical statistical tests and forecasting.
  • 关键词:stationary time series; nonstationary time series; statistical tests.
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