IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v60y2012i4p391-399.html
   My bibliography  Save this article

Using the Regression Model to Estimate Pensions

Author

Listed:
  • Gheorghe LEPADATU

    („Dimitrie Cantemir” Christian University, Bucharest)

  • Florin Paul Costel LILEA

    (“Artifex” University of Bucharest)

  • Ana CARP

    (Academy of Economic Studies, Bucharest)

  • Georgeta BARDASU

    (Academy of Economic Studies, Bucharest)

Abstract

In this paper, the authors measure, with the help of a multiple regression model, the links between the value of average social insurance pension, as resultant variable, and as factorial variables, gross average salary, annual inflation ratio and the annual evolution of GDP. The model is applied with the help of Eviews software, the results thus achieved being then interpreted.

Suggested Citation

  • Gheorghe LEPADATU & Florin Paul Costel LILEA & Ana CARP & Georgeta BARDASU, 2012. "Using the Regression Model to Estimate Pensions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 60(4), pages 391-399, November.
  • Handle: RePEc:rsr:supplm:v:60:y:2012:i:4:p:391-399
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/suplimente/2012/4/srrs4_2012a57.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    multiple regression; Eviews; parameters; gross average salary; annual inflation ratio; GDP variation;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

    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:rsr:supplm:v:60:y:2012:i:4:p:391-399. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.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.