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Time Series Data Modeling and Application

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • He Gao

    (Yunnan University)

  • Xiao-li Cai

    (Zhengzhou Institute of Aeronautical Industry Management)

  • Yu Fei

    (Yunnan University of Finance and Economics)

Abstract

We presents some commonly used methods to model the nonstationary time series. Based on these methods, we propose a model to study the relationship between the gross exports and gross domestic product (GDP) from 1982 to 2004 in China. The presented model gives a proper illustration on the relationship between gross exports and GDP.

Suggested Citation

  • He Gao & Xiao-li Cai & Yu Fei, 2013. "Time Series Data Modeling and Application," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 1095-1101, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38427-1_115
    DOI: 10.1007/978-3-642-38427-1_115
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    Cited by:

    1. Wojciech Maruchin, 2023. "Taxation of Revenue Derived from Activities Carried out by Farmers in Poland," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 17(2), June.

    More about this item

    Keywords

    GDP; Gross exports; Time series;
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