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Render unto primary the things which are primary's: Inherited and fresh learning divides in Italian lower secondary education

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  • De Simone, Gianfranco

Abstract

We employ a pseudo-panel approach to link the achievements of the same cohort of Italian students over two waves of the Trends in International Mathematics and Science Study. As we investigate the determinants of learning divides in math and science at the end of the lower secondary school (grade 8), we are able to tackle cumulative effects of education by controlling for the estimated prior score (grade 4). We find that the gender gap in math observed at grade 8 should actually be ascribed to primary education, while both school levels contribute to the emergence of the girls’ gap in science. In both subject, lower secondary schools are responsible for the largest part of the learning divide due to family background. On the other hand, foreign-origin students show a remarkable recovery at the lower secondary school, once their entry-level of competence is taken into account.

Suggested Citation

  • De Simone, Gianfranco, 2013. "Render unto primary the things which are primary's: Inherited and fresh learning divides in Italian lower secondary education," Economics of Education Review, Elsevier, vol. 35(C), pages 12-23.
  • Handle: RePEc:eee:ecoedu:v:35:y:2013:i:c:p:12-23
    DOI: 10.1016/j.econedurev.2013.03.002
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    1. Brunello, Giorgio & Checchi, Daniele, 2005. "School quality and family background in Italy," Economics of Education Review, Elsevier, vol. 24(5), pages 563-577, October.
    2. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    3. Chiswick, Barry R. & DebBurman, Noyna, 2004. "Educational attainment: analysis by immigrant generation," Economics of Education Review, Elsevier, vol. 23(4), pages 361-379, August.
    4. Daniele Checchi & Luca Flabbi, 2013. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
    5. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, Elsevier.
    6. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    7. Brown, Sarah & Taylor, Karl, 2008. "Bullying, education and earnings: Evidence from the National Child Development Study," Economics of Education Review, Elsevier, vol. 27(4), pages 387-401, August.
    8. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, Elsevier.
    9. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    10. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    11. Oscar Marcenaro & Muriel Meunier & Augustin de Coulon & Anna Vignoles, 2010. "A longitudinal analysis of second-generation disadvantaged immigrants," Economic Working Papers at Centro de Estudios Andaluces E2010/02, Centro de Estudios Andaluces.
    12. Sylke Schnepf, 2007. "Immigrants’ educational disadvantage: an examination across ten countries and three surveys," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 527-545, July.
    13. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    14. Checchi, Daniele & Fiorio, Carlo V. & Leonardi, Marco, 2013. "Intergenerational persistence of educational attainment in Italy," Economics Letters, Elsevier, vol. 118(1), pages 229-232.
    15. Hertz Tom & Jayasundera Tamara & Piraino Patrizio & Selcuk Sibel & Smith Nicole & Verashchagina Alina, 2008. "The Inheritance of Educational Inequality: International Comparisons and Fifty-Year Trends," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(2), pages 1-48, January.
    16. Marco Manacorda, 2012. "The Cost of Grade Retention," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 596-606, May.
    17. Brian A. Jacob & Lars Lefgren, 2009. "The Effect of Grade Retention on High School Completion," American Economic Journal: Applied Economics, American Economic Association, vol. 1(3), pages 33-58, July.
    18. Sauro Mocetti, 2012. "Educational choices and the selection process: before and after compulsory schooling," Education Economics, Taylor & Francis Journals, vol. 20(2), pages 189-209, February.
    19. Rockoff, Jonah E. & Lockwood, Benjamin B., 2010. "Stuck in the middle: Impacts of grade configuration in public schools," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 1051-1061, December.
    20. Kelly Bedard & Chau Do, 2005. "Are Middle Schools More Effective?: The Impact of School Structure on Student Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    21. Pasqualino Montanaro, 2008. "Learning divides across the Italian regions: Some evidence from national and international surveys," Questioni di Economia e Finanza (Occasional Papers) 14, Bank of Italy, Economic Research and International Relations Area.
    22. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    23. Oecd, 2011. "When Students Repeat Grades or Are Transferred Out of School: What Does it Mean for Education Systems?," PISA in Focus 6, OECD Publishing.
    24. Meyer, Robert H., 1997. "Value-added indicators of school performance: A primer," Economics of Education Review, Elsevier, vol. 16(3), pages 283-301, June.
    25. Sauro Mocetti & Carmine Porello, 2010. "Labour mobility in Italy: new evidence on migration trends," Questioni di Economia e Finanza (Occasional Papers) 61, Bank of Italy, Economic Research and International Relations Area.
    26. Brodaty, Thomas & Gary-Bobo, Robert J. & Prieto, Ana, 2008. "Does Speed Signal Ability? The Impact of Grade Repetitions on Employment and Wages," CEPR Discussion Papers 6832, C.E.P.R. Discussion Papers.
    27. Nicole Schneeweis, 2011. "Educational institutions and the integration of migrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(4), pages 1281-1308, October.
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    Cited by:

    1. Contini, Dalit & Grand, Elisa, 2013. "On Estimating Achievement Dynamic Models from Repeated Cross-Sections," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201343, University of Turin.
    2. Masci, Chiara & Ieva, Francesca & Agasisti, Tommaso & Paganoni, Anna Maria, 2016. "Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students," Socio-Economic Planning Sciences, Elsevier, vol. 54(C), pages 47-57.
    3. Adriana Di Liberto, 2015. "Length of stay in the host country and educational achievement of immigrant students: The Italian case," International Journal of Manpower, Emerald Group Publishing, vol. 36(4), pages 585-618, July.
    4. Álvaro Choi & María Gil & Mauro Mediavilla & Javier Valbuena, 2016. "Double toil and trouble: grade retention and academic performance," Working Papers 2016/7, Institut d'Economia de Barcelona (IEB).
    5. Contini, Dalit, 2014. "Cross-sectional learning assessments: comparability of regression coefficients and validity of difference-in-difference estimation to evaluate institutional effects," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201431, University of Turin.
    6. Bernardi, Martino & Bratti, Massimiliano & De Simone, Gianfranco, 2014. ""I wish I knew ..." - Misperceived Ability, School Track Counseling Services and Performances in Upper Secondary Education," IZA Discussion Papers 7940, Institute for the Study of Labor (IZA).
    7. Adriana Di Liberto & Fabiano Schivardi & Giovanni Sulis, 2015. "Managerial practices and student performance," Economic Policy, CEPR;CES;MSH, vol. 30(84), pages 683-728.
    8. Pao‐Li Chang & Fali Huang, 2014. "Trade And Divergence In Education Systems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 1251-1280, November.
    9. repec:eee:ecmode:v:71:y:2018:i:c:p:247-262 is not listed on IDEAS
    10. Tiziana Laureti, 2014. "Life satisfaction and environmental conditions in Italy: a pseudo-panel approach," Discussion Papers 2014/192, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    11. A. Di Liberto, 2013. "Length of stay in the host country and educational achievement of immigrant students: the Italian case," Working Paper CRENoS 201316, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. Álvaro Choi & María Gil & Mauro Mediavilla & Javier Valbuena, 2016. "The evolution of educational inequalities in Spain: dynamic evidence from repeated cross-sections," Working Papers 2016/25, Institut d'Economia de Barcelona (IEB).
    13. repec:eee:ecoedu:v:58:y:2017:i:c:p:32-42 is not listed on IDEAS
    14. Contini, Dalit & Cugnata, Federica, 2016. "Learning inequalities between primary and secondary school. Difference-in-difference with international assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201607, University of Turin.

    More about this item

    Keywords

    Cognitive achievement dynamics; Achievement gap; TIMSS; pseudo-panel;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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