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Intergenerational Mobility in Education in Greece: an exploration into socioeconomic determinants of students' performance and future career plans before, during and after the crisis

Author

Listed:
  • Svetoslav Danchev
  • Georgios Gatopoulos
  • Niki Kalavrezou
  • Nikolaos Vettas

Abstract

Education plays a central role in social mobility. Using data from the OECDÕs PISA program, this paper sheds light on: (i) the role of socioeconomic status on the cognitive performance and future plans of Greek high-school students, (ii) intertemporal trends in light of the recent economic crisis and, iii) differences with other countries on the effect of socioeconomic and other drivers on intergenerational educational mobility. We find large and significant associations between student outcomes and educational resources at home, cultural possession at home, parental emotional support and private school attendance. Parental education and occupation effects are also important but differ by domain and between parents. The association between basic socioeconomic characteristics and adolescent educational performance is significant and rather stable before, during, and after the Greek economic crisis, which points to the need to produce a coherent strategy against educational disparities according to the socioeconomic status.

Suggested Citation

  • Svetoslav Danchev & Georgios Gatopoulos & Niki Kalavrezou & Nikolaos Vettas, 2023. "Intergenerational Mobility in Education in Greece: an exploration into socioeconomic determinants of students' performance and future career plans before, during and after the crisis," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 185, Hellenic Observatory, LSE.
  • Handle: RePEc:hel:greese:185
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    File URL: https://www.lse.ac.uk/Hellenic-Observatory/Assets/Documents/Publications/GreeSE-Papers/GreeSE-No185.pdf
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    References listed on IDEAS

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    1. John Jerrim, 2014. "Why do East Asian children perform so well in PISA? An investigation of Western-born children of East Asian descent," DoQSS Working Papers 14-16, Quantitative Social Science - UCL Social Research Institute, University College London.
    2. Ralph Hippe & Maciej Jakubowski & Luisa De Sousa Lobo Borges de Araujo, 2018. "Regional inequalities in PISA: the case of Italy and Spain," JRC Research Reports JRC109057, Joint Research Centre.
    3. Veruska Oppedisano & Gilberto Turati, 2010. "What are the causes of educational inequalities and of their evolution over time in Europe? Evidence from PISA," Working Papers XREAP2010-16, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2010.
    4. Martins, Lurdes & Veiga, Paula, 2010. "Do inequalities in parents' education play an important role in PISA students' mathematics achievement test score disparities?," Economics of Education Review, Elsevier, vol. 29(6), pages 1016-1033, December.
    5. Sulis, Isabella & Giambona, Francesca & Porcu, Mariano, 2020. "Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA surveys," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
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