IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56231.html
   My bibliography  Save this paper

The Efficiency of Australian Schools: Evidence from the NAPLAN Data 2009-2011

Author

Abstract

This study examines the technical efficiency of schools in Australia and its determinants using NAPLAN test results of about 6,800 schools in 2009-2011 and other information from the “My School” website. For each school, we use the average growth of test scores for the same students between 2009 and 2011 as the measure of the school's output and four input measures: the student-teacher ratios, student-non-teaching staff ratios, recurrent income per student and (averaged) capital expenditure per student. We are also able to compare schools by type: including whether or not the school is a public school or a private school, a single sex or co-educational schools, a primary or secondary school, or a school that provides both primary and secondary schooling. In addition we control for several other environmental indicators for each school including: an index of social and educational advantage, the proportion of school children who identify as an Aborigine or Torres Strait Islander, the proportion of students from a non English-speaking background, the proportion of students female, as well as the region, state and territory in which the school is located. We estimate that the average technical efficiency score of Australian schools is 59 per cent and find evidence of input congestion for all of the inputs studied. On average, the growth target for schools in the sample to reach the efficiency frontier is 100 NAPLAN points. Our results suggest that eliminating inputs congestion could, in theory, reduce expenditure per school student by A$2,000. At the primary level, Catholic and independent schools are less efficient than public schools, but this story is reversed at the secondary level. We also find that schools with students from more advantageous social and economic backgrounds and schools with higher ratios of students from non-English speaking backgrounds tend to be more efficient. The results are robust to the choices about how to construct the frontier (e.g., in aggregate or for disaggregates by school type) and to our treatments of output and super-efficiency.

Suggested Citation

  • Nghiem, Son & Nguyen, Ha & Connelly, Luke, 2014. "The Efficiency of Australian Schools: Evidence from the NAPLAN Data 2009-2011," MPRA Paper 56231, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56231
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56231/1/MPRA_paper_56231.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G. & Branch, Gregory F., 2007. "Charter school quality and parental decision making with school choice," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 823-848, June.
    2. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor, 2009. "The Relative Efficiency Of Charter Schools," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 80(1), pages 67-87, March.
    3. W. Alexander & Alfred Haug & Mohammad Jaforullah, 2010. "A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools," Journal of Productivity Analysis, Springer, vol. 34(2), pages 99-110, October.
    4. Leigh, Andrew, 2010. "Estimating teacher effectiveness from two-year changes in students' test scores," Economics of Education Review, Elsevier, vol. 29(3), pages 480-488, June.
    5. Alfred A. Haug & Vincent C. Blackburn, 2013. "Efficiency Aspects of Government Secondary School Finances in New South Wales: Results from a Two-Stage Double-Bootstrap DEA at the School Level," Working Papers 1316, University of Otago, Department of Economics, revised Nov 2013.
    6. Buddin, Richard & Zamarro, Gema, 2009. "Teacher qualifications and student achievement in urban elementary schools," Journal of Urban Economics, Elsevier, vol. 66(2), pages 103-115, September.
    7. H餩 Essid & Pierre Ouellette & St鰨ane Vigeant, 2013. "Small is not that beautiful after all: measuring the scale efficiency of Tunisian high schools using a DEA-bootstrap method," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1109-1120, March.
    8. Elder, Todd & Jepsen, Christopher, 2014. "Are Catholic primary schools more effective than public primary schools?," Journal of Urban Economics, Elsevier, vol. 80(C), pages 28-38.
    9. Cardak, Buly A. & Vecci, Joe, 2013. "Catholic school effectiveness in Australia: A reassessment using selection on observed and unobserved variables," Economics of Education Review, Elsevier, vol. 37(C), pages 34-45.
    10. Haelermans, Carla & De Witte, Kristof & Blank, Jos L.T., 2012. "On the allocation of resources for secondary schools," Economics of Education Review, Elsevier, vol. 31(5), pages 575-586.
    11. Zoghbi, Ana Carolina & Rocha, Fabiana & Mattos, Enlinson, 2013. "Education production efficiency: Evidence from Brazilian universities," Economic Modelling, Elsevier, vol. 31(C), pages 94-103.
    12. Eric A. Hanushek & Lori L. Taylor, 1990. "Alternative Assessments of the Performance of Schools: Measurement of State Variations in Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 25(2), pages 179-201.
    13. Christopher Jepsen, 2003. "The Effectiveness of Catholic Primary Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).
    14. repec:kap:iaecre:v:14:y:2008:i:2:p:228-241 is not listed on IDEAS
    15. Reback, Randall, 2008. "Teaching to the rating: School accountability and the distribution of student achievement," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1394-1415, June.
    16. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    17. Gronberg, Timothy J. & Jansen, Dennis W. & Taylor, Lori L., 2012. "The relative efficiency of charter schools: A cost frontier approach," Economics of Education Review, Elsevier, vol. 31(2), pages 302-317.
    18. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    19. Bradley, Steve & Johnes, Geraint & Millington, Jim, 2001. "The effect of competition on the efficiency of secondary schools in England," European Journal of Operational Research, Elsevier, vol. 135(3), pages 545-568, December.
    20. Ryan, Chris, 2013. "What is behind the decline in student achievement in Australia?," Economics of Education Review, Elsevier, vol. 37(C), pages 226-239.
    21. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    22. Conroy, Stephen J. & Arguea, Nestor M., 2008. "An estimation of technical efficiency for Florida public elementary schools," Economics of Education Review, Elsevier, vol. 27(6), pages 655-663, December.
    23. Kalyan Chakraborty & John Poggio, 2008. "Efficiency and Equity in School Funding: A Case Study for Kansas," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 228-241, May.
    24. Tanja Kirjavainen, 2012. "Efficiency of Finnish general upper secondary schools: an application of stochastic frontier analysis with panel data," Education Economics, Taylor & Francis Journals, vol. 20(4), pages 343-364, April.
    25. Cherchye, Laurens & De Witte, Kristof & Ooghe, Erwin & Nicaise, Ides, 2010. "Efficiency and equity in private and public education: A nonparametric comparison," European Journal of Operational Research, Elsevier, vol. 202(2), pages 563-573, April.
    26. Pierre Ouellette & Valerie Vierstraete, 2005. "An evaluation of the efficiency of Quebec's school boards using the Data Envelopment Analysis method," Applied Economics, Taylor & Francis Journals, vol. 37(14), pages 1643-1653.
    27. Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907, November.
    28. Grosskopf, Shawna & Moutray, Chad, 2001. "Evaluating performance in Chicago public high schools in the wake of decentralization," Economics of Education Review, Elsevier, vol. 20(1), pages 1-14, February.
    29. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    30. Paul W. Miller & Derby Voon, 2012. "Government Versus Non-Government Schools: A Nation-Wide Assessment Using A ustralian Naplan Data," Australian Economic Papers, Wiley Blackwell, vol. 51(3), pages 147-166, September.
    31. Kalyan Chakraborty & Vincent C. Blackburn, 2013. "Efficiency and Equity in Funding for Government Schools in Australia," Australian Economic Papers, Wiley Blackwell, vol. 52(3-4), pages 127-142, December.
    32. Laurens Cherchye & Kristof De Witte & Erwin Ooghe, 2008. "Equity and efficiency in private and public education: a nonparametric comparison," Working Papers of Department of Economics, Leuven ces0725, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    33. Tommaso Agasisti, 2013. "The efficiency of Italian secondary schools and the potential role of competition: a data envelopment analysis using OECD-PISA2006 data," Education Economics, Taylor & Francis Journals, vol. 21(5), pages 520-544, December.
    34. Francis Vella, 1999. "Do Catholic Schools Make a Difference? Evidence from Australia," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 208-224.
    35. Steve Bradley & Mirko Draca & Colin Green, 2004. "School Performance in Australia: Is There a Role for Quasi-Markets?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 37(3), pages 271-286, September.
    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. Stylianos Gr. Margaritis & Constantinos P. Tsamadias & Elias E. Argyropoulos, 2022. "Investigating the Relative Efficiency and Productivity Change of Upper Secondary Schools: the Case of Schools in the Region of Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 128-160, March.

    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. Son Nghiem & Ha Trong Nguyen & Luke B. Connelly, 2016. "The Efficiency of Australian Schools: A Nationwide Analysis Using Gains in Test Scores of Students as Outputs," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 256-268, September.
    2. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    3. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William Weber, 2015. "Centralized or decentralized control of school resources? A network model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 139-150, April.
    4. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    5. López-Torres, Laura & Nicolini, Rosella & Prior, Diego, 2017. "Does strategic interaction affect demand for school places? A conditional efficiency approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 89-103.
    6. K. Kounetas & G. Androulakis & M. Kaisari & G. Manousakis, 2023. "Educational reforms and secondary school's efficiency performance in Greece: a bootstrap DEA and multilevel approach," Operational Research, Springer, vol. 23(1), pages 1-29, March.
    7. Tommaso Agasisti, 2014. "How does schools’ efficiency look like across Europe? An empirical analysis of Germany, Spain, France, Italy and UK using OECD PISA2012 data," Working papers 9, Società Italiana di Economia Pubblica.
    8. Yahia, F.B. & Essid, H., 2019. "Determinants of Tunisian Schools’ Efficiency: A DEA-Tobit Approach," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(1), pages 44-56, February.
    9. Brennan, Shae & Haelermans, Carla & Ruggiero, John, 2014. "Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools," European Journal of Operational Research, Elsevier, vol. 234(3), pages 809-818.
    10. Alfred A. Haug & Vincent C. Blackburn, 2017. "Government secondary school finances in New South Wales: accounting for students’ prior achievements in a two-stage DEA at the school level," Journal of Productivity Analysis, Springer, vol. 48(1), pages 69-83, August.
    11. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    12. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.
    13. Shawna Grosskopf & Kathy Hayes & Lori L. Taylor, 2014. "Applied efficiency analysis in education," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 19-26.
    14. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    15. Gronberg, Timothy J. & Jansen, Dennis W. & Taylor, Lori L., 2012. "The relative efficiency of charter schools: A cost frontier approach," Economics of Education Review, Elsevier, vol. 31(2), pages 302-317.
    16. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    17. Delprato, Marcos & Antequera, Germán, 2021. "School efficiency in low and middle income countries: An analysis based on PISA for development learning survey," International Journal of Educational Development, Elsevier, vol. 80(C).
    18. Ben Yahia, Fatma & Essid, Hédi & Rebai, Sonia, 2018. "Do dropout and environmental factors matter? A directional distance function assessment of tunisian education efficiency," International Journal of Educational Development, Elsevier, vol. 60(C), pages 120-127.
    19. López-Torres, Laura & Johnes, Jill & Elliott, Caroline & Polo, Cristina, 2021. "The effects of competition and collaboration on efficiency in the UK independent school sector," Economic Modelling, Elsevier, vol. 96(C), pages 40-53.
    20. Camanho, Ana S. & Varriale, Luisa & Barbosa, Flávia & Sobral, Thiago, 2021. "Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1188-1208.

    More about this item

    Keywords

    Efficiency; Australia; data envelopment analysis; double bootstrap;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:56231. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.