IDEAS home Printed from https://ideas.repec.org/p/aob/wpaper/6.html
   My bibliography  Save this paper

Эмпирическая оценка влияния инвестиций на экономический рост в Казахстане // An empirical assessment of the impact of investment on economic growth in Kazakhstan

Author

Listed:
  • Самат Мөлдір // Samat Moldir

    (National Bank of Kazakhstan)

Abstract

Целью данной работы является оценка вклада внутренних и иностранных инвестиций в экономический рост страны, а также анализ взаимного влияния иностранных и внутренних инвестиций друг на друга. Для такой оценки использовался широко используемый в мире метод VAR, а именно панельная векторная авторегрессия, которая позволяет объединить данные по отраслям экономики с временным рядом. // The purpose of this work is to assess the contribution of domestic and foreign investment to the country's economic growth, as well as to analyze the mutual influence of foreign and domestic investment on each other. For such an assessment, the VAR method, widely used in the world, was used, namely, panel vector autoregression, which allows combining data on sectors of the economy with a time series.

Suggested Citation

  • Самат Мөлдір // Samat Moldir, 2019. "Эмпирическая оценка влияния инвестиций на экономический рост в Казахстане // An empirical assessment of the impact of investment on economic growth in Kazakhstan," Working Papers #2019-3, National Bank of Kazakhstan.
  • Handle: RePEc:aob:wpaper:6
    as

    Download full text from publisher

    File URL: https://nationalbank.kz/file/download/8974
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    foreign direct investment; investment in fixed assets; elasticity; vector autoregression model; impulse responses; прямые иностранные инвестиции; инвестиции в основной капитал; эластичность; модель векторной авторегрессии; импульсные отклики;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aob:wpaper:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Saida Agambayeva (email available below). General contact details of provider: https://edirc.repec.org/data/nbkgvkz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.