IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2016i3p77-88.html
   My bibliography  Save this article

Statistical Analysis of the Correlation between the Happy Planet Index and the Gross Domestic Product Per Capita, in Romania

Author

Listed:
  • Gabriela OPAIT

    (Dunarea de Jos University of Galati, Romania)

Abstract

This paper reflects the architecture of the methodology for to achieve the statistical modeling of the trend concerning the correlation between the Happy Planet Index and the Gross Domestic Product per capita in Romania, between 2006-2013. with the help of the "Least Squares Method". Also, this paper reflects the manner in which we can to measure the intensity of the correlation between the Happy Planet Index and the Gross Domestic Product per capita in Romania, between 2006-2013 with the help of the Correlation Raport.

Suggested Citation

  • Gabriela OPAIT, 2016. "Statistical Analysis of the Correlation between the Happy Planet Index and the Gross Domestic Product Per Capita, in Romania," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 77-88.
    • Handle: RePEc:ddj:fseeai:y:2016:i:3:p:77-88
    as

    Download full text from publisher

    File URL: http://www.eia.feaa.ugal.ro/images/eia/2016_3/Opait1.pdf
    Download Restriction: no
    ---><---

    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:ddj:fseeai:y:2016:i:3:p:77-88. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.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.