IDEAS home Printed from https://ideas.repec.org/a/rau/journl/v11y2016i2p232-241.html
   My bibliography  Save this article

The Use Of Markov Chains In Forecasting Employed Population Percentage

Author

Listed:
  • Mihaela SAVU

    (“Constantin Brancoveanu” University, Piteşti)

  • Delia TESELIOS

    (“Constantin Brancoveanu” University, Piteşti)

Abstract

Within the Europe Strategy 2020 has been established that one of the target indicators to be represented by employment rate. The target proposed by Romania seems difficult to achieve, but in the present paper we forecast the share of employed population in the Romanian economy, in order to seize the activities in economy with growth potential, since in the last four years the number of employed people experienced a fluctuating trend. Markov chains allow predicting the employment share on the main economic activities. Calculations made for 2015 show increases in the share of employment in industry,trade and health.

Suggested Citation

  • Mihaela SAVU & Delia TESELIOS, 2016. "The Use Of Markov Chains In Forecasting Employed Population Percentage," Romanian Economic Business Review, Romanian-American University, vol. 11(2), pages 232-241, June.
  • Handle: RePEc:rau:journl:v:11:y:2016:i:2:p:232-241
    as

    Download full text from publisher

    File URL: http://www.rebe.rau.ro/RePEc/rau/journl/SU16/REBE-SU16-A23.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:rau:journl:v:11:y:2016:i:2:p:232-241. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/ferauro.html .

    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: Alex Tabusca (email available below). General contact details of provider: https://edirc.repec.org/data/ferauro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.