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

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

Chapter Chapter 22 in Quantitative Methods in Demography, 2022, pp 351-358 from Springer

Abstract: 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.

Keywords: Relative entropy; Kullback; Leibler divergence measure; EU-LFS; Labour market outcomes (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-93005-9_22

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DOI: 10.1007/978-3-030-93005-9_22

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