IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2012n16.html
   My bibliography  Save this paper

Explaining the SES School Completion Gap

Author

Listed:
  • Cain Polidano

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Barbara Hanel

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Hielke Buddelmeyer

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

Relatively low rates of school completion among students from low socio-economic (SES) backgrounds is a key transmission mechanism for the persistence of intergenerational inequality. Using a rich dataset that links data from the Program for International Student Assessment (PISA) with data from the Longitudinal Survey of Australian Youth (LSAY), we use a decomposition framework to explain the gap in school completion between low and medium SES and between low and high SES. The two most important factors found to explain the gap are lower educational aspirations of low SES students and their parents (over 30% of the gaps) and lower numeracy and reading test scores at age 15 (over 20% of the gaps). Differences in the characteristics of schools (including resources, governance, teachers and peers) attended by low and higher SES students is estimated to be relatively unimportant, explaining only around 6% of the gaps.

Suggested Citation

  • Cain Polidano & Barbara Hanel & Hielke Buddelmeyer, 2012. "Explaining the SES School Completion Gap," Melbourne Institute Working Paper Series wp2012n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2012n16
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2012n16.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Ewijk, R. van & Sleegers, P, "undated". "The effect of peer socioeconomic status on student achievement: a meta-analysis," Working Papers 20, Top Institute for Evidence Based Education Research.
    3. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," 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 2, pages 89-200, Elsevier.
    4. Morrell, Stephen & Taylor, Richard & Quine, Susan & Kerr, Charles, 1993. "Suicide and unemployment in Australia 1907-1990," Social Science & Medicine, Elsevier, vol. 36(6), pages 749-756, March.
    5. Felipe Barrera-Osorio & Tazeen Fasih & Harry Anthony Patrinos & Lucrecia Santibáñez, 2009. "Decentralized Decision-making in Schools : The Theory and Evidence on School-based Management," World Bank Publications - Books, The World Bank Group, number 2632, December.
    6. 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.
    7. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    8. Hill, Laura E. & Jepsen, Christopher, 2007. "Positive outcomes from poor starts: Predictors of dropping back in," Economics of Education Review, Elsevier, vol. 26(5), pages 588-603, October.
    9. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    10. 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.
    11. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    12. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-764, May.
    13. Cain Polidano & Domenico Tabasso & Yi-Ping Tseng, 2015. "A second chance at education for early school leavers," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 358-375, June.
    14. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    15. Rumberger, Russell W. & Lamb, Stephen P., 2003. "The early employment and further education experiences of high school dropouts: a comparative study of the United States and Australia," Economics of Education Review, Elsevier, vol. 22(4), pages 353-366, August.
    16. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
    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. Adam M. Lavecchia & Philip Oreopoulos & Robert S. Brown, 2020. "Long-Run Effects from Comprehensive Student Support: Evidence from Pathways to Education," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 209-224, June.
    2. Polidano, Cain & Tabasso, Domenico, 2016. "Fully integrating upper-secondary vocational and academic courses: A flexible new way?," Economics of Education Review, Elsevier, vol. 55(C), pages 117-131.
    3. Tharmmapornphilas, Rubkwan, 2013. "Impact of household factors on youth's school decisions in Thailand," Economics of Education Review, Elsevier, vol. 37(C), pages 258-272.
    4. Muhammad Qahraman Kakar, 2021. "Ethnic Disparities, Women Education and Empowerment in South Asia," Erudite Ph.D Dissertations, Erudite, number ph21-01 edited by Manon Domingues Dos Santos, February.
    5. Philip Oreopoulos & Robert S. Brown & Adam M. Lavecchia, 2017. "Pathways to Education: An Integrated Approach to Helping At-Risk High School Students," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 947-984.

    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. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    2. Zullo, Matteo, 2022. "(No) Trade-off between numeracy and verbal reasoning development: PISA evidence from Italy's academic tracking," Intelligence, Elsevier, vol. 95(C).
    3. Kai Hong & Peter A. Savelyev & Kegon T. K. Tan, 2020. "Understanding the Mechanisms Linking College Education with Longevity," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 371-400.
    4. Eric A. Hanushek & Victor Lavy & Kohtaro Hitomi, 2008. "Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 69-105.
    5. Jesse Rothstein, 2007. "Do Value-Added Models Add Value? Tracking, Fixed Effects, and Causal Inference," Working Papers 1036, Princeton University, Department of Economics, Center for Economic Policy Studies..
    6. Richard Murphy & Felix Weinhardt, 2020. "Top of the Class: The Importance of Ordinal Rank," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(6), pages 2777-2826.
    7. Guillermo Jopen Sánchez, 2016. "Measuring Technical Efficiency in Primary Education: Evidences for Peruvian Case," Working Papers 77, Peruvian Economic Association.
    8. Tommaso Agasisti & Sergio Longobardi, 2012. "Inequality in education: can Italian disadvantaged students close the gap? A focus on resilience in the Italian school system," Working Papers 2012/39, Institut d'Economia de Barcelona (IEB).
    9. Guillermo Jopen Sánchez, 2017. "Factores discrecionales y no discrecionales de la eficiencia educativa: evidencias para el caso peruano," Documentos de Trabajo / Working Papers 2017-437, Departamento de Economía - Pontificia Universidad Católica del Perú.
    10. Jesse Rothstein, 2007. "Do Value-Added Models Add Value? Tracking, Fixed Effects, and Causal Inference," Working Papers 1036, Princeton University, Department of Economics, Center for Economic Policy Studies..
    11. Gervas Huxley & Mike Peacey, 2014. "An Economic Model of Learning Styles," The Centre for Market and Public Organisation 14/319, The Centre for Market and Public Organisation, University of Bristol, UK.
    12. Tommaso Agasisti & Sergio Longobardi, 2017. "Equality of Educational Opportunities, Schools’ Characteristics and Resilient Students: An Empirical Study of EU-15 Countries Using OECD-PISA 2009 Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 917-953, December.
    13. Lisa Grazzini, 2016. "The Importance of the Quality of Education: Some Determinants and its Effects on Earning Returns and Economic Growth," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(2), pages 43-82.
    14. José Antonio Molina Marfil & Oscar David Marcenaro Gutierrez & Ana Martín Marcos, 2016. "Procesos de enseñanza-aprendizaje y producción educativa: un análisis de la competencia matemática," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 32, pages 585-604, Asociación de Economía de la Educación.
    15. Ruth Maria Schüler, 2016. "Educational inputs and economic development in end-of-nineteenth-century Prussia," ifo Working Paper Series 227, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. repec:pri:cepsud:159rothstein is not listed on IDEAS
    17. repec:bri:cmpowp:13/319 is not listed on IDEAS
    18. Marilena Furno, 2022. "Regional gap in students’ performance at the quantiles," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(4), pages 525-546, December.
    19. Guillermo Jopen & Walter Gómez & Herbert Olivera, 2014. "Sistema educativo peruano: balance y agenda pendiente," Documentos de Trabajo / Working Papers 2014-379, Departamento de Economía - Pontificia Universidad Católica del Perú.
    20. Tommaso Agasisti & Sergio Longobardi, 2012. "Inequality in education: can Italian disadvantaged students close the gap? A focus on resilience in the Italian school system," Working Papers 2012/39, Institut d'Economia de Barcelona (IEB).
    21. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    22. Gregorio Gimenez & Luis Vargas-Montoya, 2021. "ICT Use and Successful Learning: The Role of the Stock of Human Capital," Mathematics, MDPI, vol. 9(14), pages 1-15, July.

    More about this item

    Keywords

    School completion; socio-economic status; decomposition and PISA;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

    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:iae:iaewps:wp2012n16. 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: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.html .

    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.