Describing Labour Market Dynamics Through Non Homogeneous Markov System Theory
In: Skiadas C., Skiadas C. (eds) Demography of Population Health, Aging and Health Expenditures. The Springer Series on Demographic Methods and Population Analysis, vol 50. Springer, Cham., 2020
@Inbook{Symeonaki2020,
author="Symeonaki, Maria and Stamatopoulou, Glykeria",
editor="Skiadas, Christos H. and Skiadas, Charilaos",
title="Describing Labour Market Dynamics Through Non Homogeneous Markov System Theory",
journal="Demography of Population Health, Aging and Health Expenditures",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="359--373",
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.",
isbn="978-3-030-44695-6",
doi="10.1007/978-3-030-44695-6_23",
url="https://doi.org/10.1007/978-3-030-44695-6_23"
}
author="Symeonaki, Maria and Stamatopoulou, Glykeria",
editor="Skiadas, Christos H. and Skiadas, Charilaos",
title="Describing Labour Market Dynamics Through Non Homogeneous Markov System Theory",
journal="Demography of Population Health, Aging and Health Expenditures",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="359--373",
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.",
isbn="978-3-030-44695-6",
doi="10.1007/978-3-030-44695-6_23",
url="https://doi.org/10.1007/978-3-030-44695-6_23"
}
On the Measurement of Positive Labor Market Mobility
@article{doi:10.1177/2158244020934489,
author = {Maria Symeonaki and Glykeria Stamatopoulou},
title ={On the Measurement of Positive Labor Market Mobility},
journal = {SAGE Open},
volume = {10},
number = {3},
pages = {2158244020934489},
year = {2020},
doi = {10.1177/2158244020934489},
URL = {
https://doi.org/10.1177/2158244020934489
},
eprint = {
https://doi.org/10.1177/2158244020934489
}
,
abstract = { The present article proposes a new labor market index, called the positive labor market mobility index, which focuses on quantifying the amount of âdesiredâ labor market mobility present in the transitions of young individuals, providing a useful way of comparing countries on that matter. Well-established indices in the literature aiming at measuring mobility take into account all movements among states and/or the diagonal elements of the transition probability matrix that denote immobility. On the contrary, the index proposed in this study uses only âfavorableâ or âdesiredâ movements among labor market states, providing a more relevant to labor mobility assessment index, where the interest lies in quantifying positive transitions, from education or training to employment, for example. The positive mobility index is estimated for individuals in Europe, whose age was 15 to 29 during the years of the financial crisis, from 2008 to 2015. Annually raw micro-data from the European Union Labour Force Survey (EU-LFS) for these 8 years are used for this purpose. Moreover, the values of the proposed labor market mobility index are correlated with an early job insecurity indicator, estimated for the same age group. The results reveal the significant differences among European countries, when âdesiredâ transitions of young individuals are taken into account. Moreover, the analysis performed indicates that the proposed index could be a good predictor for the degree of early job insecurity for young individuals in EU member states. }
}
author = {Maria Symeonaki and Glykeria Stamatopoulou},
title ={On the Measurement of Positive Labor Market Mobility},
journal = {SAGE Open},
volume = {10},
number = {3},
pages = {2158244020934489},
year = {2020},
doi = {10.1177/2158244020934489},
URL = {
https://doi.org/10.1177/2158244020934489
},
eprint = {
https://doi.org/10.1177/2158244020934489
}
,
abstract = { The present article proposes a new labor market index, called the positive labor market mobility index, which focuses on quantifying the amount of âdesiredâ labor market mobility present in the transitions of young individuals, providing a useful way of comparing countries on that matter. Well-established indices in the literature aiming at measuring mobility take into account all movements among states and/or the diagonal elements of the transition probability matrix that denote immobility. On the contrary, the index proposed in this study uses only âfavorableâ or âdesiredâ movements among labor market states, providing a more relevant to labor mobility assessment index, where the interest lies in quantifying positive transitions, from education or training to employment, for example. The positive mobility index is estimated for individuals in Europe, whose age was 15 to 29 during the years of the financial crisis, from 2008 to 2015. Annually raw micro-data from the European Union Labour Force Survey (EU-LFS) for these 8 years are used for this purpose. Moreover, the values of the proposed labor market mobility index are correlated with an early job insecurity indicator, estimated for the same age group. The results reveal the significant differences among European countries, when âdesiredâ transitions of young individuals are taken into account. Moreover, the analysis performed indicates that the proposed index could be a good predictor for the degree of early job insecurity for young individuals in EU member states. }
}
The importance of foreign migration for shifts in the size of the labour force of European countries: Methodological insights and contemporary evidence from SIRIUS and from selected Non-SIRIUS countries
Insights into Barriers and Enablers (Labour Market Integration-LMI- Biographies – Report on Greece
SIRIUS Project Deliverable, 2019
The Evolution of Early Job Insecurity in Europe
@article{doi:10.1177/2158244019845187,
author = {Maria Symeonaki and Dimitrios Parsanoglou and Glykeria Stamatopoulou},
title ={The Evolution of Early Job Insecurity in Europe},
journal = {SAGE Open},
volume = {9},
number = {2},
pages = {2158244019845187},
year = {2019},
doi = {10.1177/2158244019845187},
URL = {
https://doi.org/10.1177/2158244019845187
},
eprint = {
https://journals.sagepub.com/doi/pdf/10.1177/2158244019845187
}
,
abstract = { The present study proposes a meaningful multidimensional index of early job insecurity for European countries based on raw micro-data drawn from the European Unionâs Labor Force Survey (EU-LFS), and captures its evolution over time, before and during the years of the postâ2008 economic crisis. More specifically, a number of different indicators capturing various domains of early job insecurity are estimated, utilizing the data behind the EU-LFS survey for all European Union (EU) member states. These indicators are then composed into a single indicator of early job insecurity, which is used to apprehend and compare the degree of early job insecurity in EU member states, during these years. The proposed indicator captures the whole range of early job insecurity aspects, such as labor market conditions, job quality, school-to-work transitions, and job security, in an overall measurement providing a way of estimating and comparing early job insecurity among different countries. The results uncover the considerable differences between EU countries when early job insecurity is considered. Moreover, countries are ranked according to the degrees of early job insecurity for the years 2008-2014. }
}
author = {Maria Symeonaki and Dimitrios Parsanoglou and Glykeria Stamatopoulou},
title ={The Evolution of Early Job Insecurity in Europe},
journal = {SAGE Open},
volume = {9},
number = {2},
pages = {2158244019845187},
year = {2019},
doi = {10.1177/2158244019845187},
URL = {
https://doi.org/10.1177/2158244019845187
},
eprint = {
https://journals.sagepub.com/doi/pdf/10.1177/2158244019845187
}
,
abstract = { The present study proposes a meaningful multidimensional index of early job insecurity for European countries based on raw micro-data drawn from the European Unionâs Labor Force Survey (EU-LFS), and captures its evolution over time, before and during the years of the postâ2008 economic crisis. More specifically, a number of different indicators capturing various domains of early job insecurity are estimated, utilizing the data behind the EU-LFS survey for all European Union (EU) member states. These indicators are then composed into a single indicator of early job insecurity, which is used to apprehend and compare the degree of early job insecurity in EU member states, during these years. The proposed indicator captures the whole range of early job insecurity aspects, such as labor market conditions, job quality, school-to-work transitions, and job security, in an overall measurement providing a way of estimating and comparing early job insecurity among different countries. The results uncover the considerable differences between EU countries when early job insecurity is considered. Moreover, countries are ranked according to the degrees of early job insecurity for the years 2008-2014. }
}