IDEAS home Printed from https://ideas.repec.org/a/hur/ijarbs/v4y2014i8p76-90.html
   My bibliography  Save this article

Health and Healthcare Indicators – Panel Data Analysis for OECD Countries

Author

Listed:
  • Ligia Viorela Vaidean
  • Marina Ferent-Pipas

Abstract

The purpose of our paper is to present the main institutional efforts taken towards improving the health status of OECD population. Supporting the better health desideratum, our study reviewed some of the previously published scientific papers that dealt with the estimation of life expectancy at birth through econometric modelling. Our collected data included health spending, out-of-pocket payments, total expenditure on pharmaceuticals and other medical non-durables, number of physicians number of nurses, total hospital beds, number of doctors’ consultations, average length of stay, pharmaceutical consumption and alcohol consumption. The step-wise estimation was carried out using the Ordinary Least squares technique, and a Fixed Effects Model as opposed to a Random Effects Model. The Random Effects model was chosen and the results were interpreted.

Suggested Citation

  • Ligia Viorela Vaidean & Marina Ferent-Pipas, 2014. "Health and Healthcare Indicators – Panel Data Analysis for OECD Countries," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(8), pages 76-90, August.
    • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:8:p:76-90
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/Health_and_Healthcare_Indicators_Panel_Data_Analysis_for_OECD_Countries.pdf
    Download Restriction: no
    File URL: http://hrmars.com/hrmars_papers/Health_and_Healthcare_Indicators_Panel_Data_Analysis_for_OECD_Countries.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luh, Yir-Hueih & Jiang, Wun-Ji & Huang, Szu-Chi, 2016. "Trade-related spillovers and industrial competitiveness: Exploring the linkages for OECD countries," Economic Modelling, Elsevier, vol. 54(C), pages 309-325.
    2. Kyriakos Souliotis & Christina Golna & Yannis Tountas & Olga Siskou & Daphne Kaitelidou & Lycourgos Liaropoulos, 2016. "Informal payments in the Greek health sector amid the financial crisis: old habits die last..," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(2), pages 159-170, March.

    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:hur:ijarbs:v:4:y:2014:i:8:p:76-90. 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: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/IJARBSS .

    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.