Describing Labour Market Dynamics Through Non Homogeneous Markov System Theory

Maria Symeonaki () and Glykeria Stamatopoulou ()
Additional contact information
Maria Symeonaki: Panteion University of Social and Political Sciences, Department of Social Policy
Glykeria Stamatopoulou: Panteion University of Social and Political Sciences, Department of Social Policy

Chapter Chapter 23 in Demography of Population Health, Aging and Health Expenditures, 2020, pp 359-373 from Springer

Abstract: Abstract The present paper applies the non-homogeneous Markov system (NHMS) theory to labour market transitions and provides a cross-national comparison of labour market flows among southern European countries. The theoretical adaptation of the NHMS model to labour market dynamics and its basic parameters are presented. Raw data drawn from the European Union Labour Force Survey (EU-LFS) is used, in order to estimate and compare the distribution of transition probabilities from the labour market state of employment, unemployment and inactiveness and vice versa, for the selected European countries. Moreover, the paper examines whether patterns of similar or dissimilar distributions of transition probabilities in labour market exist and for which countries. The paper furthermore reports and compares the school-to-work transition probabilities for southern European countries.

Keywords: Labour market transitions; Markov systems; Transition probability; EU-LFS (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-44695-6_23

Ordering information: This item can be ordered from
http://www.springer.com/9783030446956

DOI: 10.1007/978-3-030-44695-6_23

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().