IDEAS home Printed from https://ideas.repec.org/p/mil/wpdepa/2012-14.html
   My bibliography  Save this paper

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

Author

Listed:
  • Gianfranco DE SIMONE

    ()

Abstract

We employ a pseudo-panel approach to link achievements of the same cohort of Italian students over two waves of the Trends in International Mathematics and Science Study (TIMSS). As we investigate the determinants of scores in math and science at the end of the lower secondary school (8th grade), we are able to circumvent cumulative effects of education by controlling for the estimated achievement at the 4th grade. We find that the gender gap in math observed at the 8th grade should actually be ascribed to primary education, while responsibilities on the gap in science are shared by the two school levels. On the other hand, in both subject, the largest part of the learning divide due to family background originates at the lower secondary school. Although foreign-origin students are more prone than natives to be held back, they show a remarkable recovery at the lower secondary school, once the entry-level of competence is taken into account.

Suggested Citation

  • Gianfranco DE SIMONE, 2012. "Render unto primary the things which are primary's. Inherited and fresh learning divides in Italian lower secondary education," Departmental Working Papers 2012-14, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2012-14
    as

    Download full text from publisher

    File URL: http://wp.demm.unimi.it/files/wp/2012/DEMM-2012_014wp.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Chiswick, Barry R. & DebBurman, Noyna, 2004. "Educational attainment: analysis by immigrant generation," Economics of Education Review, Elsevier, vol. 23(4), pages 361-379, August.
    2. 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.
    3. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    4. 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.
    5. 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.
    6. 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.
    7. Muriel Niederle & Lise Vesterlund, 2010. "Explaining the Gender Gap in Math Test Scores: The Role of Competition," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 129-144, Spring.
    8. Kevin Macdonald, 2008. "PV: Stata module to perform estimation with plausible values," Statistical Software Components S456951, Boston College Department of Economics, revised 12 Feb 2014.
    9. Checchi, Daniele & Fiorio, Carlo V. & Leonardi, Marco, 2013. "Intergenerational persistence of educational attainment in Italy," Economics Letters, Elsevier, vol. 118(1), pages 229-232.
    10. 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.
    11. Marco Manacorda, 2012. "The Cost of Grade Retention," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 596-606, May.
    12. 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.
    13. 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).
    14. 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.
    15. Meyer, Robert H., 1997. "Value-added indicators of school performance: A primer," Economics of Education Review, Elsevier, vol. 16(3), pages 283-301, June.
    16. 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.
    17. 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.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    More about this item

    Keywords

    Pseudo-panel; TIMSS; learning divides; gender gap; socio-cultural gap; immigrant students; primary education; lower secondary education; cognitive achievement dynamics;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mil:wpdepa:2012-14. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (DEMM Working Papers). General contact details of provider: http://edirc.repec.org/data/damilit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.