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Risky decline? Exploring the determinants of pupil's proficiency development over time

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  • Diaz Lema, Melisa L.
  • Masci, Chiara
  • Soncin, Mara
  • Agasisti, Tommaso

Abstract

The early identification of at-risk students and of factors influencing proficiency development are crucial in education policy. This study investigates how students' fluctuations in academic performance during primary school impact the probability of being at-risk in Mathematics and Reading by the end of lower secondary school. Leveraging longitudinal data from 278,765 students in Italy, this study employs a multilevel multinomial model with Markov chain Monte Carlo (MCMC) techniques to explore personal, class, and school-related factors steering shifts between proficiency and non-proficiency. Findings highlight the importance of these transitions in predicting at-risk students at grade 8, emphasizing the role of peers' academic achievements and the variation across schools in shaping proficiency development.

Suggested Citation

  • Diaz Lema, Melisa L. & Masci, Chiara & Soncin, Mara & Agasisti, Tommaso, 2025. "Risky decline? Exploring the determinants of pupil's proficiency development over time," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:soceps:v:99:y:2025:i:c:s0038012125000564
    DOI: 10.1016/j.seps.2025.102207
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    1. Aucejo, Esteban M. & Romano, Teresa Foy, 2016. "Assessing the effect of school days and absences on test score performance," Economics of Education Review, Elsevier, vol. 55(C), pages 70-87.
    2. Jong–Wha Lee & Robert J. Barro, 2001. "Schooling Quality in a Cross–Section of Countries," Economica, London School of Economics and Political Science, vol. 68(272), pages 465-488, November.
    3. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    4. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
    5. Contini, Dalit & Tommaso, Maria Laura Di & Mendolia, Silvia, 2017. "The gender gap in mathematics achievement: Evidence from Italian data," Economics of Education Review, Elsevier, vol. 58(C), pages 32-42.
    6. repec:bla:econom:v:68:y:2001:i:272:p:465-88 is not listed on IDEAS
    7. Dario Sansone, 2019. "Beyond Early Warning Indicators: High School Dropout and Machine Learning," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(2), pages 456-485, April.
    8. Borgna, Camilla & Struffolino, Emanuela, 2017. "Pushed or pulled? Girls and boys facing early school leaving risk in Italy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61, pages 298-313.
    9. Doyle, Orla & Harmon, Colm P. & Heckman, James J. & Tremblay, Richard E., 2009. "Investing in early human development: Timing and economic efficiency," Economics & Human Biology, Elsevier, vol. 7(1), pages 1-6, March.
    10. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    11. S. Mahuteau & K. Mavromaras, 2014. "An analysis of the impact of socio-economic disadvantage and school quality on the probability of school dropout," Education Economics, Taylor & Francis Journals, vol. 22(4), pages 389-411, August.
    12. Masci, Chiara & De Witte, Kristof & Agasisti, Tommaso, 2018. "The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students attending middle schools," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 52-69.
    13. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    14. Bozzano, Monica & Cappelli, Gabriele & Vasta, Michelangelo, 2024. "Whither Education? The Long Shadow of Pre-Unification School Systems into Italy’s Liberal Age (1861–1911)," The Journal of Economic History, Cambridge University Press, vol. 84(1), pages 149-190, March.
    15. Judith Glaesser, 2022. "Relative educational poverty: conceptual and empirical issues," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2803-2820, August.
    16. Hill, Darryl V. & Hughes, Rodney P. & Lenard, Matthew A. & Liebowitz, David D. & Page, Lindsay C., 2023. "New schools and new classmates: The disruption and peer group effects of school reassignment," Economics of Education Review, Elsevier, vol. 92(C).
    17. Harold Alderman & Jere R. Behrman & Victor Lavy & Rekha Menon, 2001. "Child Health and School Enrollment: A Longitudinal Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 36(1), pages 185-205.
    18. Tommaso Agasisti & Mara Soncin & Riccardo Valenti, 2016. "School factors helping disadvantaged students to succeed: empirical evidence from four Italian cities," Policy Studies, Taylor & Francis Journals, vol. 37(2), pages 147-177, March.
    19. Monique Löwe & Ulf Rinne & Hendrik Sonnabend, 2023. "Gender role models and early-career decisions," Applied Economics Letters, Taylor & Francis Journals, vol. 30(11), pages 1526-1530, June.
    20. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    21. Charles Hirschman, 2001. "The educational enrollment of immigrant youth: A test of the segmented-assimilation hypothesis," Demography, Springer;Population Association of America (PAA), vol. 38(3), pages 317-336, August.
    22. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob L., 2007. "Teacher credentials and student achievement: Longitudinal analysis with student fixed effects," Economics of Education Review, Elsevier, vol. 26(6), pages 673-682, December.
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