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Система краткосрочного прогнозирования ВВП методом конечного использования в Национальном Банке Республики Казахстан // The system of short-term forecasting of the GDP by expenditure method in National Bank of the Republic of Kazakhstan

Author

Listed:
  • Букенов Амантай

    (National Bank of Kazakhstan)

  • Самат Молдир

    (National Bank of Kazakhstan)

  • Тайбекова Аида

Abstract

Из-за наличия широкого набора эконометрических подходов прогнозисты часто сталкиваются с проблемой выбора наиболее подходящей модели для прогнозирования ВВП определенной страны или региона. Для решения этой задачи в последнее время центральные банки все чаще стали прибегать к практике комбинирования различных прогнозов и моделей. В Национальном Банке на текущий момент также используется методика комбинированного подхода в краткосрочном прогнозировании ВВП Казахстана. Исследование описывает систему краткосрочного прогнозирования ВВП методом конечного использования Казахстана и показывает эффективность комбинирования прогнозов по различным эконометрическим моделям.

Suggested Citation

  • Букенов Амантай & Самат Молдир & Тайбекова Аида, 2022. "Система краткосрочного прогнозирования ВВП методом конечного использования в Национальном Банке Республики Казахстан // The system of short-term forecasting of the GDP by expenditure method in Nationa," Working Papers #2022-10, National Bank of Kazakhstan.
  • Handle: RePEc:aob:wpaper:35
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    File URL: https://nationalbank.kz/file/download/85926
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    More about this item

    Keywords

    ВВП; краткосрочный прогноз; комбинирование прогнозов;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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