文章基本信息

标题：Econometric Modeling of GDP Time Series
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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.