IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v89y2023ics0038012123001866.html
   My bibliography  Save this article

Does taking additional Maths classes in high school affect academic outcomes?

Author

Listed:
  • Priulla, Andrea
  • Vittorietti, Martina
  • Attanasio, Massimo

Abstract

Several studies in the mathematical education literature show the effect of students’ high school skills in maths on their success at higher levels of education and work. In particular, the importance of maths course taking in US high schools is highlighted to be important for college enrollment and completion. The choice of taking additional maths courses or, as in Italy, of choosing a high-school curriculum with more maths, is not random: it depends on several substantial factors such as gender and socio-economic status. This selection bias implies that the differences in the academic outcomes might be traceable not only to mathematics ability and knowledge. In this paper, the aim is to estimate the treatment effect of attending a relatively new high school curriculum in Italy with more maths, with respect to the traditional track of the scientific “liceo”, on two academic outcomes: university enrollment and first-year university performance. After having reduced the selection bias using a caliper multi-level propensity score matching procedure, a multi-state Markov model is used to study the treatment effect on the joint educational outcomes.

Suggested Citation

  • Priulla, Andrea & Vittorietti, Martina & Attanasio, Massimo, 2023. "Does taking additional Maths classes in high school affect academic outcomes?," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:soceps:v:89:y:2023:i:c:s0038012123001866
    DOI: 10.1016/j.seps.2023.101674
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123001866
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101674?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. 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.
    2. 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.
    3. Arpino, Bruno & Mealli, Fabrizia, 2011. "The specification of the propensity score in multilevel observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1770-1780, April.
    4. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    5. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    6. Lorenzo Cappellari, 2004. "High school types, academic performance and early labour market outcomes," CHILD Working Papers wp03_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    7. Bratti, Massimiliano & Checchi, Daniele & Filippin, Antonio, 2007. "Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003," IZA Discussion Papers 2603, Institute of Labor Economics (IZA).
    8. Columbu, Silvia & Porcu, Mariano & Sulis, Isabella, 2021. "University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    9. Gabriele Ballarino & Nazareno Panichella, 2016. "Social stratification, secondary school tracking and university enrolment in Italy," Contemporary Social Science, Taylor & Francis Journals, vol. 11(2-3), pages 169-182, July.
    Full references (including those not matched with items on IDEAS)

    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. Contini Dalit & Scagni Andrea, 2012. "Social-Origin Inequalities in Educational Careers in Italy. Performance or Decision Effects?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201214, University of Turin.
    2. Antonella D’Agostino & Francesco Schirripa Spagnolo & Nicola Salvati, 2022. "Studying the relationship between anxiety and school achievement: evidence from PISA data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 1-20, March.
    3. Agasisti, Tommaso & Longobardi, Sergio, 2014. "Inequality in education: Can Italian disadvantaged students close the gap?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 8-20.
    4. 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.
    5. Miquel-Àngel Garcia-López & Albert Solé-Ollé & Elisabet Viladecans Marsal, 2014. "Do Land Use Policies Follow Road Construction," CESifo Working Paper Series 4672, CESifo Group Munich.
    6. Aina, Carmen & Pastore, Francesco, 2012. "Delayed Graduation and Overeducation: A Test of the Human Capital Model versus the Screening Hypothesis," IZA Discussion Papers 6413, Institute of Labor Economics (IZA).
    7. Jordan H. Rickles & Michael Seltzer, 2014. "A Two-Stage Propensity Score Matching Strategy for Treatment Effect Estimation in a Multisite Observational Study," Journal of Educational and Behavioral Statistics, , vol. 39(6), pages 612-636, December.
    8. Zullo, Matteo, 2022. "(No) Trade-off between numeracy and verbal reasoning development: PISA evidence from Italy's academic tracking," Intelligence, Elsevier, vol. 95(C).
    9. Raffaele Guetto & Nazareno Panichella, 2019. "Family arrangements and children’s educational outcomes: Heterogeneous penalties in upper-secondary school," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(35), pages 1015-1046.
    10. Miquel-Àngel Garcia-López & Albert Solé-Ollé & Elisabet Viladecans Marsal, 2014. "Do Land Use Policies Follow Road Construction," CESifo Working Paper Series 4672, CESifo.
    11. Małgorzata Kłobuszewska & Magdalena Rokicka, 2016. "Do local characteristics matter? Secondary school track choice in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 45.
    12. 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.
    13. Ragni, Alessandra & Ippolito, Daniel & Masci, Chiara, 2024. "Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    14. Lorenzo Cappellari & Claudio Lucifora & Dario Pozzoli, 2012. "Determinants of grades in maths for students in economics," Education Economics, Taylor & Francis Journals, vol. 20(1), pages 1-17, February.
    15. Dalit Contini & Andrea Scagni, 2011. "Inequality of opportunity in secondary school enrolment in Italy, Germany and the Netherlands," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 441-464, February.
    16. K. C. Culver & Nathaniel Bray & John Braxton, 2024. "On My Honor: A Quasi-Experimental Analysis of Honors Students’ Perceptions of Workload and Cognitive Challenge," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(4), pages 679-704, June.
    17. Cavalletti, Barbara & Corsi, Matteo & Persico, Luca & di Bella, Enrico, 2021. "Public university orientation for high-school students. A quasi-experimental assessment of the efficiency gains from nudging better career choices," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    18. Pastore, Francesco, 2017. "Why so slow? The School-to-Work Transition in Italy," GLO Discussion Paper Series 65, Global Labor Organization (GLO).
    19. Cristian Usala & Mariano Porcu & Isabella Sulis, 2023. "The high school effect on students’ mobility choices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1259-1293, October.
    20. Lisha Agarwal & Giorgio Brunello & Lorenzo Rocco, 2021. "The Pathways to College," Journal of Human Capital, University of Chicago Press, vol. 15(4), pages 554-595.

    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:eee:soceps:v:89:y:2023:i:c:s0038012123001866. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.