Publications

@inbook{doi:10.1002/9781119579465.ch8,
author = {Symeonaki, Maria and Karamessini, Maria and Stamatopoulou, Glykeria},
publisher = {John Wiley & Sons, Ltd},
isbn = {9781119579465},
title = {Gender-Based Differences in the Impact of the Economic Crisis on Labor Market Flows in Southern Europe},
booktitle = {Data Analysis and Applications 2},
chapter = {8},
pages = {107-120},
doi = {10.1002/9781119579465.ch8},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119579465.ch8},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119579465.ch8},
year = {2019},
keywords = {economic crisis, European Union Labour Force Survey, gender-based comparison, individual's labor market position, labor force participation, labor market transitions, non-homogeneous Markov system theory, school-to-work transition probabilities, Southern European countries},
abstract = {Summary This chapter presents an application of the non-homogeneous Markov system theory to labor force participation providing a cross-national, gender-based comparison of labor market transitions among Southern European countries. It draws raw data from the European Union Labour Force Survey (EU-LFS) from 2006 to 2013 to compare the distribution of transition probabilities from the labor market state of employment, unemployment and inactivity and vice versa, for Greece, Italy, Spain and Portugal and examine whether the distributions are gender sensitive. The chapter also examines whether school-to-work transition probabilities for these countries differ for males and females and to what extent. Additionally, the crisis' impact on the individual's labor market position is studied by country and by sex with the use of mobility indices. The EU-LFS is an important data source, as it provides extensive evidence on labor market participation and working conditions of European citizens.}
}

@inbook{doi:10.1002/9781119579465.ch9,
author = {Symeonaki, Maria and Karamessini, Maria and Stamatopoulou, Glykeria},
publisher = {John Wiley & Sons, Ltd},
isbn = {9781119579465},
title = {Measuring Labor Market Transition Probabilities in Europe with Evidence from the EU-SILC},
booktitle = {Data Analysis and Applications 2},
chapter = {9},
pages = {121-136},
doi = {10.1002/9781119579465.ch9},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119579465.ch9},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119579465.ch9},
year = {2019},
keywords = {EU-SILC, labor fluidity estimation, labor market states, non-homogenous Markov systems, school-to-labor market entry probabilities, youth transition probabilities},
abstract = {Summary This chapter provides the estimation of youth transition probabilities from school to employment, unemployment and inactivity for all European countries using raw data from the European Union's Survey on Living and Income Conditions (EU-SILC). It measures the input probabilities using the EU-SILC data from 2006 to 2013. Replacing the European Panel Survey since 2003, EU-SILC provides timely and comparable cross-sectional, multidimensional data on income, poverty, social exclusion and living conditions anchored in the European Statistical System. Methodologically, the chapter utilizes the theory of non-homogenous Markov systems (NHMS) to measure the transition and input probabilities. It presents the results concerning the dynamics of the labor market flows, with an emphasis put on the evolution of the transition probabilities between labor market states, the evolution of school-to-labor market entry probabilities and the estimation of labor fluidity.}
}

@Inbook{10.1007/978-3-319-76002-5,
author={ Maria Symeonaki, Stamatopoulou Glykeria and Maria Karamessini},
editor={ Skiadas, Christos H.
and Skiadas, Charilaos },
title={ On the measurement of early job insecurity },
bookTitle= { Demography and Health Issues: Population Aging, Mortality and Data Analysis },
year= { 2018 },
publisher = { Springer International Publishing },
address= { Cham },
pages= { 275-288 },
isbn= { 978-3-319-76002-5 },
doi={ 10.1007/978-3-319-76002-5_15 },
url={https://link.springer.com/chapter/10.1007/978-3-319-76002-5_15}
}

@Inbook{Demography and Health Issues. The Springer Series on Demographic Methods and Population Analysis,
author={ Symeonaki, Mariα, Kazani, Aggeliki and Michalopoulou, Catherine},
editor={ Skiadas, Christos H.
and Skiadas, Charilaos },
title={ A Neuro-Fuzzy Approach to Measuring Attitudes },
bookTitle= { Demography and Health Issues: Population Aging, Mortality and Data Analysis },
year= { 2018 },
publisher = { Springer International Publishing },
address= { Cham },
pages= { 169-181 },
abstract= { Τhe present paper deals with the application of neuro-fuzzy techniques to the measurements of attitudes. The methodology used is illustrated and evaluated on data drawn from a large-scale survey conducted by the National Centre of Social Research of Greece, in order to investigate opinions, attitudes and stereotypes towards the ``other'' foreigner. The illustration provides a meaningful way of classifying respondents into xenophobic levels, taking also into account other important socio-demographic characteristics, such as age, education, gender, political beliefs, religion practice and the way each question is answered by the respondent. Moreover, the methodology provides a way of classifying respondents whose responses are identified as questionable. },
isbn= { 978-3-319-76002-5 },
doi={ 10.1007/978-3-319-76002-5_15 },
url={https://link.springer.com/chapter/10.1007/978-3-319-76002-5_15}
}

@article{Charalampi_2018,
doi = {10.1007/s11482-018-9666-4},
url = {https://doi.org/10.1007%2Fs11482-018-9666-4},
year = 2018,
month = {oct},
publisher = {Springer Nature},
author = {Anastasia Charalampi and Catherine Michalopoulou and Clive Richardson},
title = {Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries},
journal = {Applied Research in Quality of Life}
}