IDEAS home Printed from https://ideas.repec.org/a/ovi/oviste/vxiiy2012i2p317-320.html
   My bibliography  Save this article

The Econometric Modelling of the Number of the Unemployed in the SE Region of Romania According to the Number of Higher Education Graduates and the Investment Level

Author

Listed:
  • Aivaz Kamer Ainur

    (OVIDIUS University of Constanta, Romania, Faculty of Economical Sciences)

Abstract

The purpose of this research was to identify several features of the unemployment phenomenon in the SE region of Romania, using several of the most significant indicators highlighting the main correlations between specific labour market indicators and an indicator by which we can assess the economic development degree of a country. The resulted regression equations, tested from the point of view of their significance, allow, on the one hand, the assessment of the existing situation and, on the other hand, the performance of the forecasting calculations required to develop different scenarios and strategies for attracting investments and EU funds in order to reduce the number of the unemployed and to absorb higher education graduates on the labour market.

Suggested Citation

  • Aivaz Kamer Ainur, 2012. "The Econometric Modelling of the Number of the Unemployed in the SE Region of Romania According to the Number of Higher Education Graduates and the Investment Level," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 317-320, Decembre.
  • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:2:p:317-320
    as

    Download full text from publisher

    File URL: http://stec.univ-ovidius.ro/html/anale/ENG/cuprins%20rezumate/volum2012p2v2.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    the econometric modelling; unemployment phenomenon; labour market indicators; the multivariate analysis.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:ovi:oviste:v:xii:y:2012:i:2:p:317-320. 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: Gheorghiu Gabriela (email available below). General contact details of provider: https://edirc.repec.org/data/feoviro.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.