IDEAS home Printed from https://ideas.repec.org/a/blg/reveco/v73y2021ispecialp9-19.html
   My bibliography  Save this article

Using The Regression Model In The Analysis Of The Correlation Between The Gross Domestic Product And Defence Expenditures, In Nato Member States

Author

Listed:
  • BALTES Nicolae

    (Lucian Blaga University of Sibiu)

  • HUSERAȘ Alin

    (Lucian Blaga University of Sibiu)

Abstract

In this paper we propose to highlight correlation between the variables GDP and defence spending, using the linear regression model. It was observed, through the analysis of the literature, that one of the most important factors, influencing defense spending, is the GDP of the states. Thus, the objective of the study, is to try to get information about the ability of the economy (represented by GDP) to influence defense spending, in NATO member states. In the econometric model, the value of the dependency coefficient is expected to be very high and positive. The data from the Database were collected from the official sites.

Suggested Citation

  • BALTES Nicolae & HUSERAȘ Alin, 2021. "Using The Regression Model In The Analysis Of The Correlation Between The Gross Domestic Product And Defence Expenditures, In Nato Member States," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 73(Special), pages 9-19, December.
    • Handle: RePEc:blg:reveco:v:73:y:2021:i:special:p:9-19
    as

    Download full text from publisher

    File URL: http://economice.ulbsibiu.ro/revista.economica/archive/73S01baltes&huseras.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paula Gomez-Trueba & Alfredo Arahuetes & Aurora García Domonte & Tomas Curto, 2020. "The Relationship Between Expenditure on Defence and Economic Growth in Spain," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 393-406.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      GDP; NATO; PLS regression method; the Pearson and Spearman coefficien;
      All these keywords.

      JEL classification:

      • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
      • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems
      • P43 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Finance; Public Finance

      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:blg:reveco:v:73:y:2021:i:special:p:9-19. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Eduard Alexandru Stoica (email available below). General contact details of provider: https://edirc.repec.org/data/feulbro.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.