IDEAS home Printed from https://ideas.repec.org/a/spr/inrvec/v64y2017i1d10.1007_s12232-016-0261-4.html
   My bibliography  Save this article

Between-classes sorting within schools and test scores: an empirical analysis of Italian junior secondary schools

Author

Listed:
  • Tommaso Agasisti

    (Politecnico di Milano School of Management)

  • Patrizia Falzetti

    (INVALSI)

Abstract

This paper suggests that some Italian junior secondary schools are likely to practise sorting between classes, and proposes an indicator to measure this practice. The impact of “informal” sorting on the students’ achievement is evaluated through an appropriate Instrumental Variables (IV) approach. The results suggest that this practice harms the students’ results in Reading, as measured through standardised test scores. Heterogeneity of this effect is then explored, considering different school types as well as different student characteristics. Overall, practising sorting within schools helps to replicate existing inequality through unequal educational opportunities.

Suggested Citation

  • Tommaso Agasisti & Patrizia Falzetti, 2017. "Between-classes sorting within schools and test scores: an empirical analysis of Italian junior secondary schools," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 64(1), pages 1-45, March.
  • Handle: RePEc:spr:inrvec:v:64:y:2017:i:1:d:10.1007_s12232-016-0261-4
    DOI: 10.1007/s12232-016-0261-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12232-016-0261-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12232-016-0261-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    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. 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, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    4. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    5. Bertoni, Marco & Brunello, Giorgio & Rocco, Lorenzo, 2013. "When the cat is near, the mice won't play: The effect of external examiners in Italian schools," Journal of Public Economics, Elsevier, vol. 104(C), pages 65-77.
    6. 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.
    7. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    8. Agasisti, Tommaso, 2011. "How competition affects schools' performances: Does specification matter?," Economics Letters, Elsevier, vol. 110(3), pages 259-261, March.
    9. Massimiliano Bratti & Daniele Checchi & Antonio Filippin, 2007. "Geographical Differences in Italian Students' Mathematical Competencies: Evidence from Pisa 2003," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(3), pages 299-333, November.
    10. Courtney A. Collins & Li Gan, 2013. "Does Sorting Students Improve Scores? An Analysis of Class Composition," NBER Working Papers 18848, National Bureau of Economic Research, Inc.
    11. 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.
    12. Melvin Borland & Roy Howsen & Michelle Trawick, 2006. "Intra-school competition and student achievement," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1641-1647.
    13. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2013. "From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation," Econometrica, Econometric Society, vol. 81(3), pages 855-882, May.
    14. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    15. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    16. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    17. Nick Adnett & Peter Davies, 2005. "Competition between or within schools? Re-assessing school choice," Education Economics, Taylor & Francis Journals, vol. 13(1), pages 109-121.
    18. Cain Polidano & Barbara Hanel & Hielke Buddelmeyer, 2013. "Explaining the socio-economic status school completion gap," Education Economics, Taylor & Francis Journals, vol. 21(3), pages 230-247, July.
    19. Barbieri, Gianna & Rossetti, Claudio & Sestito, Paolo, 2011. "The determinants of teacher mobility: Evidence using Italian teachers’ transfer applications," Economics of Education Review, Elsevier, vol. 30(6), pages 1430-1444.
    20. Gary Marks, 2011. "Issues in the Conceptualisation and Measurement of Socioeconomic Background: Do Different Measures Generate Different Conclusions?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(2), pages 225-251, November.
    21. Changhui Kang, 2007. "Academic interactions among classroom peers: a cross-country comparison using TIMSS," Applied Economics, Taylor & Francis Journals, vol. 39(12), pages 1531-1544.
    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. Arbona, Alexei & Giménez, Víctor & López-Estrada, Sebastián & Prior, Diego, 2022. "Efficiency and quality in Colombian education: An application of the metafrontier Malmquist-Luenberger productivity index," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wennberg, Karl & Norgren, Axel, 2021. "Models of Peer Effects in Education," Working Papers 21/3, Stockholm School of Economics, Center for Educational Leadership and Excellence.
    2. van Elk, Roel & van der Steeg, Marc & Webbink, Dinand, 2011. "Does the timing of tracking affect higher education completion?," Economics of Education Review, Elsevier, vol. 30(5), pages 1009-1021, October.
    3. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    4. Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2018. "Do migrant students affect local students’ academic achievements in urban China?," Economics of Education Review, Elsevier, vol. 63(C), pages 64-77.
    5. Gupta, Shriyam & Liu, Chengfang & Li, Shaoping & Chang, Fang & Shi, Yaojiang, 2023. "Association between ability tracking and student’s academic and non-academic outcomes: Empirical evidence from junior high schools in rural China," International Journal of Educational Development, Elsevier, vol. 103(C).
    6. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    7. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Davide Azzolini & Loris Vergolini, 2014. "Tracking, Inequality and Education Policy. Looking for a Recipe for the Italian Case," FBK-IRVAPP Working Papers 2014-08, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    9. Adam S. Booij & Edwin Leuven & Hessel Oosterbeek, 2017. "Ability Peer Effects in University: Evidence from a Randomized Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 547-578.
    10. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    11. Sönke Hendrik Matthewes, 2020. "Better together? Heterogeneous effects of tracking on student achievement," CEP Discussion Papers dp1706.pdf, Centre for Economic Performance, LSE.
    12. Calsamiglia, Caterina & Loviglio, Annalisa, 2019. "Grading on a curve: When having good peers is not good," Economics of Education Review, Elsevier, vol. 73(C).
    13. Yann Algan & Quoc-Anh Do & Nicolò Dalvit & Alexis Le Chapelain & Yves Zenou, 2015. "How Social Networks Shape Our Beliefs: A Natural Experiment among Future French Politicians," Working Papers hal-03459820, HAL.
    14. Roller, Marcus & Steinberg, Daniel, 2020. "The distributional effects of early school stratification - non-parametric evidence from Germany," European Economic Review, Elsevier, vol. 125(C).
    15. repec:spo:wpmain:info:hdl:2441/78vacv4udu92eq3fec89svm9uv is not listed on IDEAS
    16. Zhang, Yu & Qin, Fei & Liu, Juanjuan, 2019. "Improving education equality and quality: Evidence from a natural experiment in China," International Journal of Educational Development, Elsevier, vol. 70(C), pages 1-1.
    17. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    18. 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.
    19. Xu, Bin & Ma, Qingxuan & Yu, Qianbin, 2024. "Does the proportion of rural students affect the performance of urban students? ––Evidence from urban schools in China," International Journal of Educational Development, Elsevier, vol. 105(C).
    20. repec:hal:spmain:info:hdl:2441/78vacv4udu92eq3fec89svm9uv is not listed on IDEAS
    21. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.
    22. Meschi, Elena & Pavese, Caterina, 2023. "Ability composition in the class and the school performance of immigrant students," Labour Economics, Elsevier, vol. 85(C).

    More about this item

    Keywords

    Between-classes sorting; Instrumental Variables (IV); Educational evaluation; Equality;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:spr:inrvec:v:64:y:2017:i:1:d:10.1007_s12232-016-0261-4. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.