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The relevance of educational poverty in Europe: Determinants and remedies

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  • Agasisti, Tommaso
  • Longobardi, Sergio
  • Prete, Vincenzo
  • Russo, Felice

Abstract

This paper explores the degree of educational poverty in European countries using data from OECD Programme for International Student Assessment (PISA). This research adopts the class of additive multidimensional poverty measures proposed by Alkire & Foster (2011) and investigates the degree of educational poverty in terms of incidence, breadth, depth and severity. Also, we analyse the impact of students’ characteristics and school-level factors on the probability of being educational poor in various learning dimensions. The findings reveal that between 2006 and 2015 the incidence of educational poverty became more relevant in many European countries, while most of them experienced a reduction of poverty depth and severity. Therefore, several policy scenarios are simulated in order to highlight the school factors that can be activate to alleviate the risk of educational poverty in the European countries that experienced the highest incidence of educational poor student.

Suggested Citation

  • Agasisti, Tommaso & Longobardi, Sergio & Prete, Vincenzo & Russo, Felice, 2021. "The relevance of educational poverty in Europe: Determinants and remedies," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 692-709.
    • Handle: RePEc:eee:jpolmo:v:43:y:2021:i:3:p:692-709
    DOI: 10.1016/j.jpolmod.2020.03.015
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    1. Piergiacomo Sibiano & Tommaso Agasisti, 2011. "Efficiency of public spending in education: A challenge among Italian regions," Investigaciones de Economía de la Educación volume 6, in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 31, pages 503-516, Asociación de Economía de la Educación.
    2. Juan-Francisco Sánchez-García & María-del-Carmen Sánchez-Antón & Rosa Badillo-Amador & María-del-Carmen Marco-Gil & Juan-Vicente LLinares-Ciscar & Susana Álvarez-Díez, 2019. "A New Extension of Bourguignon and Chakravarty Index to Measure Educational Poverty and Its Application to the OECD Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 479-501, September.
    3. Satya R. Chakravarty, 2019. "A New Index of Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 31-37, Springer.
    4. Kevin Denny, 2002. "New methods for comparing literacy across populations: insights from the measurement of poverty," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 481-493, October.
    5. Tommaso Agasisti & Sergio Longobardi, 2017. "Equality of Educational Opportunities, Schools’ Characteristics and Resilient Students: An Empirical Study of EU-15 Countries Using OECD-PISA 2009 Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 917-953, December.
    6. Zlata Bruckauf & Yekaterina Chzhen & UNICEF Innocenti Research Centre, 2016. "Education for All? Measuring inequality of educational outcomes among 15-year-olds across 39 industrialized nations," Papers inwopa843, Innocenti Working Papers.
    7. Nicholas Bloom & Renata Lemos & Raffaella Sadun & John Van Reenen, 2015. "Does Management Matter in schools?," Economic Journal, Royal Economic Society, vol. 0(584), pages 647-674, May.
    8. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    9. Ferraro, Simona & Põder, Kaire, 2018. "School-level policies and the efficiency and equity trade-off in education," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 1022-1037.
    10. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    11. Bercedis Peterson & Frank E. Harrell, 1990. "Partial Proportional Odds Models for Ordinal Response Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 205-217, June.
    12. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    13. Antonio Villar, 2016. "Educational poverty as a welfare loss: Low performance in the OECD according to PISA 2012," Working Papers 16.04, Universidad Pablo de Olavide, Department of Economics.
    14. Adriana Di Liberto & Fabiano Schivardi & Giovanni Sulis, 2015. "Managerial practices and student performance," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(84), pages 683-728.
    15. Daniele Checchi, 1998. "Povertà e istruzione: alcune riflessioni e una proposta di indicatori," Politica economica, Società editrice il Mulino, issue 2, pages 245-282.
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    1. María-del-Carmen Sánchez-Antón & Rosa Badillo-Amador & María-del-Carmen Marco-Gil & Juan-Vicente LLinares-Ciscar & Susana Álvarez-Díez & Juan-Francisco Sánchez-García, 2022. "Analysis of the Educational Poverty in Spain by Subjects, Regions and Gender," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 829-861, July.

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    More about this item

    Keywords

    Educational poverty; PISA 2006 and 2015; European countries;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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