Method for Assessing Variability of Vocational Qualification Structure of the Labour Market
Journal Title: Демографія та соціальна економіка - Year 2013, Vol 20, Issue
Abstract
The method for assessing variability for statistical distributions analysis in multidimensional social and economic systems is considered. Application the method is demonstrated on the example of the analysis of labour market structure on number and qualification of unoccupied citizens in Ukraine. Statistical interference of processes in economy (gross national product) with changes in labour market structure is determined. At the analysis of great volumes of the statistical data they are structured, separated into categories by certain features. Informatively important integrated characteristics of such big and complex systems can be expressed by means of indexes which show how much some values are non-uniformly allocated by categories. Complex systems structure investigation requires laconic exhaustive integrated estimations that allow comparing various structures of similar systems, for example, variabilities (scope of variability) of distributions by categories (variety of structures), investigating their dynamics and establishing statistical interrelations with socio-economical processes. In the considered method the entropic approach is used for variability estimation. On the basis of the generalised Renyi entropy the variability indexes are entered. Economic dynamics at the time of reforms when transformations are accompanied by recession and production growth, changes in technological level and prices, pressure in social sphere, invariably affects a labour market and in many respects determines its structure. The method of variability is used for the analysis of structure dynamics changes of the labour market in Ukraine for 10 years. The statistical, correlation interrelation of the labour market structure variability index with changes in the structure of the gross domestic product is established.
Authors and Affiliations
V. O. Drozd, M. V. Artiushenko
Keywords
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- EP ID EP287247
- DOI 10.15407/dse2013.02.213
- Views 77
- Downloads 0
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