IDEAS home Printed from https://ideas.repec.org/h/spr/ssdmcp/978-3-030-93005-9_22.html

A Relative Entropy Measure of Divergences in Labour Market Outcomes by Educational Attainment

Author

Listed:
  • Maria Symeonaki

    (Panteion University of Social and Political Sciences, Department of Social Policy, School of Political Sciences)

Abstract

The present study (The study is implemented under the research project HARMONIA funded by a grant (No. 2018/30/M/HS4/00744) from the National Science Centre in Poland) proposes a new way of examining cross-country differences in labour market outcomes for young individuals aged between 15 and 29 in relation to their educational attainment, using raw data drawn from the European Union’s Labour Force Survey (EU-LFS) and three different Kullback–Leibler divergence measures. We assume that if educational attainment did not play a decisive role to whether young individuals were employed (or unemployed), the probability of him/her being “low”, “medium” or “highly” educated would be equal and therefore their distribution to the educational attainment categories would be the discrete Uniform distribution. Having accepted this hypothesis, we estimate the direct divergence between the way employed (and unemployed) young individuals are distributed to the educational attainment categories and the discrete Uniform distribution (with three possible outcomes relating to those categories). The divergence between the distributions of employed and unemployed individuals by educational attainment is also explored. Countries are ranked according to the relative entropy values of these measures for the latest at the time available raw data drawn from the EU-LFS for the year 2016.

Suggested Citation

Handle: RePEc:spr:ssdmcp:978-3-030-93005-9_22
DOI: 10.1007/978-3-030-93005-9_22
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;

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:spr:ssdmcp:978-3-030-93005-9_22. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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.